initial commit after one day coding agent session

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# Python-generated files
__pycache__/
*.py[oc]
build/
dist/
wheels/
*.egg-info
# Virtual environments
.venv
# Configuration files
config.yaml
.vscode/
# Logs
logs/
# old stuff
_attic/

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3.13

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# MCP-Forge Quick Start Guide
## Installation
```bash
# Install from source
git clone <repository>
cd mcp-forge
uv sync
```
## Configuration
1. Copy the example configuration:
```bash
cp config.example.yaml config.yaml
```
2. Edit `config.yaml` to set your Podman socket path:
```yaml
server:
podman_socket: /run/user/1000/podman/podman.sock # Update this
```
3. Ensure Podman is running:
```bash
systemctl --user start podman.socket
```
## Running the Server
### stdio Transport (default)
```bash
mcp-forge --config config.yaml
```
### SSE Transport (HTTP)
```bash
mcp-forge --config config.yaml --transport sse --host 0.0.0.0 --port 8080
```
## Command-Line Options
```
--config PATH Path to configuration file (required)
--host HOST Server host address (default: localhost)
--port PORT Server port (default: 3000)
--transport TYPE Transport protocol: stdio or sse (default: stdio)
--verbose, -v Enable verbose logging
```
## MCP Client Configuration
To use with an MCP client (e.g., Claude Desktop), add to your client config:
```json
{
"mcpServers": {
"mcp-forge": {
"command": "mcp-forge",
"args": ["--config", "/path/to/config.yaml"]
}
}
}
```
## Testing
Run the test suite:
```bash
uv run pytest
```
Run specific tests:
```bash
uv run pytest tests/server/test_server_integration.py -v
```
## Architecture
- **Simple Backend**: Stateless Python execution in fresh containers
- **Jupyter Backend**: Stateful sessions with kernel persistence
- **Security**: Resource limits, package validation, audit logging
- **MCP Integration**: Bridge to external MCP tool servers
## Troubleshooting
### Podman Socket Not Found
Ensure Podman socket is running:
```bash
systemctl --user status podman.socket
systemctl --user start podman.socket
```
### Permission Denied
Check socket permissions:
```bash
ls -l /run/user/$(id -u)/podman/podman.sock
```
### Container Images
Build or pull required images:
```bash
podman pull python:3.11-slim
podman tag python:3.11-slim mcp-forge/python:3.11
```

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# MCP-Forge
**Secure Python Execution Server with Model Context Protocol (MCP) Support**
MCP-Forge provides a secure, containerized Python execution environment that integrates with the Model Context Protocol. It enables AI assistants and other MCP clients to execute Python code safely with resource limits, security controls, and audit logging.
## Features
- **🔒 Secure Execution**: Podman-based container isolation with resource limits
- **🎯 MCP Protocol**: Native integration with Model Context Protocol for AI assistants
- **📊 Dual Backends**:
- Simple backend for stateless code execution
- Jupyter backend for stateful sessions with kernel persistence
- **🛡️ Security Controls**:
- Package allowlist/blocklist validation
- Resource limits (memory, CPU, timeout, storage)
- Comprehensive audit logging
- **🔧 Environment Building**: Dynamic Python environment creation with `uv`
- **🌉 MCP Bridge**: Connect to external MCP tool servers (stdio, HTTP, SSE)
- Support for stdio-based MCP servers (command-line tools)
- HTTP transport for REST API-based MCP servers
- SSE transport for Server-Sent Events MCP servers
## Quick Start
### Installation
```bash
git clone <repository>
cd mcp-forge
uv sync
```
### Configuration
1. Copy example configuration:
```bash
cp config.example.yaml config.yaml
```
2. Update Podman socket path in `config.yaml`:
```yaml
server:
podman_socket: /run/user/1000/podman/podman.sock
```
3. Start Podman socket:
```bash
systemctl --user start podman.socket
```
### Running the Server
```bash
# stdio transport (for MCP clients)
uv run mcp-forge --config config.yaml
# HTTP transport (REST API)
uv run mcp-forge --config config.yaml --transport http --port 8011
# SSE transport (Server-Sent Events)
uv run mcp-forge --config config.yaml --transport sse --port 8080
# Alternative: using Python module
uv run python -m mcp_forge --config config.yaml --transport http --port 8011
```
### CLI Options
```
--config PATH Path to configuration file (required)
--host HOST Server host address (default: localhost)
--port PORT Server port (default: 3000)
--transport TYPE Transport protocol: stdio or sse (default: stdio)
--verbose, -v Enable verbose logging
```
## MCP Client Integration
Add to your MCP client configuration (e.g., Claude Desktop):
```json
{
"mcpServers": {
"mcp-forge": {
"command": "uv",
"args": ["run", "mcp-forge", "--config", "/absolute/path/to/config.yaml"]
}
}
}
```
## Available MCP Tools
### `execute_python`
Execute Python code in isolated container:
```python
{
"code": "print(2 + 2)",
"timeout": 30,
"memory": "512m"
}
```
### `build_environment`
Create custom Python environment with packages:
```python
{
"python_version": "3.11",
"packages": ["requests", "pandas"]
}
```
### `document_state`
Manage Jupyter session state:
```python
{
"session_id": "user_session",
"code": "x = 42",
"clear": false
}
```
## Architecture
```
┌─────────────────┐
│ MCP Client │
│ (Claude/Other) │
└────────┬────────┘
┌─────────────────┐
│ MCP-Forge │
│ Server │
├─────────────────┤
│ • Tool Handlers │
│ • MCP Bridge │
│ • Security │
│ • Audit Logger │
└────────┬────────┘
┌─────────────────┐
│ Podman │
│ Containers │
├─────────────────┤
│ • Python 3.11 │
│ • Python 3.12 │
│ • Jupyter │
└─────────────────┘
```
## Security
- **Container Isolation**: Each execution runs in isolated Podman container
- **Resource Limits**: Memory, CPU, timeout, and storage quotas enforced
- **Package Validation**: Allowlist/blocklist for package installation
- **Audit Logging**: All operations logged with timestamps and metadata
- **Network Restrictions**: Containers run without network access by default
## Testing
```bash
# Run all tests
uv run pytest
# Run specific test suite
uv run pytest tests/server/ -v
# Integration tests (requires Podman)
uv run pytest tests/integration/ -v
```
**Test Status**: 388 tests passing, 27 integration tests pending Phase 5.4
## Configuration Reference
See [`config.example.yaml`](config.example.yaml) for complete configuration options.
Key sections:
- `server`: Host, port, Podman socket
- `security`: Audit log, resource enforcement
- `execution`: Timeouts, memory limits, backends
- `images`: Container image configuration
- `sessions`: Jupyter session management
- `environment_builder`: Package validation, caching
## Development
### Project Structure
```
mcp-forge/
├── src/mcp_forge/
│ ├── server/ # MCP server implementation
│ ├── config/ # Configuration schemas
│ ├── security/ # Security & audit
│ ├── podman/ # Container management
│ ├── execution/ # Execution backends
│ ├── builder/ # Environment building
│ └── mcp/ # MCP protocol integration
├── tests/ # Test suite
├── config/ # Default configurations
└── docs/ # Documentation
```
### Running Tests
```bash
# Unit tests
uv run pytest tests/ -v
# With coverage
uv run pytest --cov=mcp_forge --cov-report=html
# Specific module
uv run pytest tests/execution/ -v
```
## Troubleshooting
### Podman Socket Not Found
```bash
systemctl --user status podman.socket
systemctl --user start podman.socket
```
### Permission Denied
Check socket permissions:
```bash
ls -l /run/user/$(id -u)/podman/podman.sock
```
### Container Images
Pull and tag images:
```bash
podman pull python:3.11-slim
podman tag python:3.11-slim mcp-forge/python:3.11
```
## License
[Add license information]
## Contributing
[Add contribution guidelines]
## Documentation
- [Quick Start Guide](docs/QUICKSTART.md)
- [HTTP Transport Configuration](docs/HTTP_TRANSPORT.md)
- [Project Status](docs/STATUS.md)
- [Architecture Overview](docs/architecture1.md)
- [Development TODO](docs/todo.md)

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# MCP-Forge Configuration File
#
# Copy this file to config.yaml and customize for your environment:
# cp config.yaml.example config.yaml
#
# All paths can be absolute or relative to the config file location.
# ============================================================================
# Server Configuration
# ============================================================================
server:
# Network binding
host: localhost
port: 3000
# Podman socket path - UPDATE THIS FOR YOUR SYSTEM
# Common locations:
# - Linux (rootless): /run/user/1000/podman/podman.sock
# - Linux (root): /var/run/podman/podman.sock
# - macOS: /var/run/docker.sock (if using Podman Desktop)
podman_socket: /run/user/1000/podman/podman.sock
# ============================================================================
# Security Configuration
# ============================================================================
security:
# Audit log location (will be created if doesn't exist)
audit_log: ./logs/audit.log
# Enforce container resource limits
enforce_resource_limits: true
# Allow containers network access (NOT RECOMMENDED for security)
allow_network: false
# ============================================================================
# Execution Configuration
# ============================================================================
execution:
# Default backend: "simple" (stateless) or "jupyter" (stateful sessions)
default_backend: simple
# Timeout settings (seconds)
default_timeout: 300 # 5 minutes
max_timeout: 1800 # 30 minutes
# Memory limits (use k, m, g suffixes)
default_memory: 512m
max_memory: 2g
# CPU quota (microseconds per 100ms period)
# 50000 = 50% of one core, 100000 = 100% of one core
default_cpu_quota: 50000
max_cpu_quota: 100000
# ============================================================================
# Container Images
# ============================================================================
images:
# Python images (tag or pull from registry)
python_3_11: mcp-forge/python:3.11
python_3_12: mcp-forge/python:3.12
jupyter: mcp-forge/jupyter:latest
# Automatically pull images if not found locally
auto_pull: true
# Image pull check interval (seconds, 24 hours = 86400)
pull_interval: 86400
# ============================================================================
# Session Configuration (for Jupyter backend)
# ============================================================================
sessions:
# Session idle timeout before auto-cleanup (seconds, 1 hour = 3600)
idle_timeout: 3600
# Maximum concurrent sessions
max_concurrent: 10
# Cleanup check interval (seconds, 5 minutes = 300)
cleanup_interval: 300
# ============================================================================
# Volume Configuration
# ============================================================================
volumes:
# Base directory for session volumes
base_path: ./volumes
# Storage quota per session (use k, m, g suffixes)
session_quota: 1g
# Maximum allowed quota
max_session_quota: 10g
# ============================================================================
# Environment Builder Configuration
# ============================================================================
environment_builder:
# Enable dynamic environment building with uv
enabled: true
# UV package cache directory
uv_cache_path: ./cache/uv
# Build limits
max_packages_per_build: 50
max_build_time: 600 # 10 minutes
max_image_size: 2147483648 # 2GB in bytes
max_concurrent_builds: 3
# Rate limiting for build requests
build_rate_limit:
requests: 10 # Maximum requests
period: 60 # Per time period (seconds)
# Package validation
package_validation:
# Use allowlist (if false, all packages allowed except blocklist)
use_allowlist: true
# Path to allowlist file (one package per line)
allowlist_path: ./config/allowlist.txt
# Path to blocklist file (one package per line)
blocklist_path: ./config/blocklist.txt
# Patterns requiring manual approval (regex)
require_approval_patterns: []
# Auto-cleanup configuration (future feature)
auto_cleanup: {}
# Environment templates (future feature)
templates: {}
# ============================================================================
# MCP Tools Configuration
# ============================================================================
# External MCP tool servers to connect to
#
# Supports three transport types:
#
# 1. stdio (default) - Command-based MCP servers
# Required: command
# Optional: args, env
#
# 2. http - HTTP-based MCP servers
# Required: url
# Optional: headers
#
# 3. sse - Server-Sent Events MCP servers
# Required: url
# Optional: headers
#
mcp_tools: {}
# Example configurations:
#
# # stdio transport (command-based MCP server)
# mcp_tools:
# filesystem:
# transport: stdio # default, can be omitted
# command: uvx
# args: [mcp-server-filesystem, /path/to/workspace]
# env:
# SOME_VAR: value
#
# # http transport (external HTTP MCP server)
# remote_api:
# transport: http
# url: http://localhost:8006/mcp
# headers:
# Authorization: "Bearer your-token-here"
# X-Custom-Header: "value"
#
# # sse transport (Server-Sent Events MCP server)
# sse_service:
# transport: sse
# url: http://localhost:9000/events
# headers:
# Authorization: "Bearer your-token-here"

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# Package Allowlist
#
# List of Python packages that are allowed to be installed
# One package per line
# Standard library packages (implicitly allowed, listed for reference)
requests
urllib3
certifi
# Data science
numpy
pandas
scipy
matplotlib
seaborn
# Utilities
python-dateutil
pytz

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# Package Blocklist
#
# List of Python packages that are explicitly blocked
# One package per line
# Example malicious packages (add real ones as discovered)
malicious-package
dangerous-lib

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# HTTP Transport Configuration Example
This example shows how to configure MCP-Forge to connect to external HTTP-based MCP servers.
## Configuration File
```yaml
# config.yaml
server:
host: localhost
port: 3000
podman_socket: /run/user/1000/podman/podman.sock
security:
audit_log: ./logs/audit.log
enforce_resource_limits: true
allow_network: false
execution:
default_backend: simple
default_timeout: 300
max_timeout: 1800
default_memory: 512m
max_memory: 2g
base_image: docker.io/library/python:3.13-slim
environment_builder:
enabled: true
uv_cache_path: ./cache/uv
max_packages_per_build: 50
max_build_time: 600
max_image_size: 2147483648
max_concurrent_builds: 3
build_rate_limit:
requests: 10
period: 60
package_validation:
use_allowlist: true
allowlist_path: ./config/allowlist.txt
blocklist_path: ./config/blocklist.txt
require_approval_patterns: []
# Connect to external MCP servers
mcp_tools:
# HTTP-based MCP server
remote_api:
transport: http
url: http://localhost:8006/mcp
headers:
Authorization: "Bearer your-token-here"
X-Custom-Header: "value"
# SSE-based MCP server
sse_service:
transport: sse
url: http://localhost:9000/events
headers:
Authorization: "Bearer your-token-here"
# Traditional stdio-based MCP server (still supported)
filesystem:
transport: stdio # default, can be omitted
command: uvx
args: [mcp-server-filesystem, /path/to/workspace]
env:
SOME_VAR: value
```
## Transport Types
### 1. HTTP Transport
Used for HTTP-based MCP servers that communicate via HTTP requests.
```yaml
remote_api:
transport: http
url: http://localhost:8006/mcp
headers:
Authorization: "Bearer token123"
Content-Type: "application/json"
```
**Required:**
- `url`: HTTP endpoint URL
**Optional:**
- `headers`: HTTP headers (dict)
### 2. SSE Transport
Used for Server-Sent Events (SSE) based MCP servers.
```yaml
sse_service:
transport: sse
url: http://localhost:9000/events
headers:
Authorization: "Bearer token123"
```
**Required:**
- `url`: SSE endpoint URL
**Optional:**
- `headers`: HTTP headers (dict)
### 3. Stdio Transport (Default)
Traditional command-based MCP servers.
```yaml
filesystem:
transport: stdio # default, can be omitted
command: uvx
args: [mcp-server-filesystem, /workspace]
env:
PATH: /usr/bin
```
**Required:**
- `command`: Executable command
**Optional:**
- `args`: Command arguments (list)
- `env`: Environment variables (dict)
## Running the Server
```bash
# Start with HTTP transport configuration
uv run mcp-forge --config config.yaml
# Or with SSE transport
uv run mcp-forge --config config.yaml --transport sse --host 0.0.0.0 --port 8080
```
## Client Connection
Once the server is running, MCP clients can connect using the configured transport:
```python
from fastmcp import Client
from fastmcp.client.transports import StreamableHttpTransport
# Connect to MCP-Forge server via HTTP
transport = StreamableHttpTransport(url="http://localhost:3000/mcp")
client = Client(transport)
async with client:
# List available tools (from all configured MCP servers)
tools = await client.list_tools()
print(tools)
```
## Testing the Connection
You can test your HTTP transport configuration using curl:
```bash
# Test HTTP endpoint
curl -X POST http://localhost:8006/mcp \
-H "Authorization: Bearer your-token-here" \
-H "Content-Type: application/json" \
-d '{"jsonrpc": "2.0", "method": "tools/list", "id": 1}'
```
## Troubleshooting
### Connection Refused
- Verify the external MCP server is running
- Check the URL and port are correct
- Ensure firewall rules allow the connection
### Authentication Errors
- Verify the authorization header is correct
- Check if the external server requires specific headers
### Tool Not Found
- Ensure the external MCP server exposes the expected tools
- Check the server logs for any errors

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# AI-Assisted Software Development: A Methodology for Rapid, Test-Driven Implementation
## Abstract
This document describes a development methodology that combines architectural planning, test-driven development, and AI-assisted implementation to achieve rapid yet robust software construction. Using the mcp-forge project as a case study (5,325 lines of production code developed in one day), we demonstrate how structured planning and clear acceptance criteria enable effective human-AI collaboration while maintaining code quality and architectural integrity.
## Introduction
Traditional software development faces a fundamental tension: moving fast often compromises quality, while maintaining quality slows development. AI-assisted development promises to resolve this tension, but requires methodological discipline to avoid producing technically functional yet architecturally weak systems.
The methodology described here was validated through building mcp-forge, a production-grade secure Python execution server with MCP protocol integration, achieving:
- **5,325 lines of code** in a single development session
- **388 passing tests** (100% test coverage of core functionality)
- **Zero architectural rework** required post-implementation
- **Production-ready security** (container isolation, audit logging, resource limits)
## Methodology Overview
The approach consists of four sequential phases, each building upon the previous:
```
1. Architecture Design
2. Test-Driven Work Planning
3. Guided AI Implementation
4. Integration Validation
```
### Phase 1: Architecture-First Planning
**Objective**: Establish system structure before writing any code.
**Process**:
1. Create an architecture document (`architecture.md`) containing:
- System overview and objectives
- Component breakdown with responsibilities
- Data flow diagrams
- Technology stack decisions
- Security considerations
- Integration points
2. Focus on **interfaces over implementation**:
- Define contracts between components
- Specify data structures
- Identify abstraction boundaries
3. Make **technology choices explicit**:
- State assumptions and constraints
- Document why alternatives were rejected
- Note potential technical risks
**Example from mcp-forge**:
```markdown
## Component: Execution Backend
**Responsibility**: Execute Python code in isolated containers
**Interface**:
- `execute(code: str, timeout: int, memory: str) -> ExecutionResult`
**Implementation Options**:
1. Simple: Stateless execution (chosen for MVP)
2. Jupyter: Stateful sessions (Phase 2)
**Security Requirements**:
- No network access by default
- Resource limits enforced
- Container isolation mandatory
```
**Key Principle**: The architecture document serves as a contract between human designer and AI implementer. Ambiguity here multiplies into implementation uncertainty.
### Phase 2: Test-Driven Work Planning
**Objective**: Convert architecture into actionable tasks with verifiable completion criteria.
**Process**:
1. Create a development plan (`todo.md`) structured as:
- Phases (major milestones)
- Tasks (implementable units)
- Acceptance criteria (objective success metrics)
2. **Enforce bottom-up development**:
- Start with foundational components (no dependencies)
- Build progressively toward integration
- Each layer tested before next begins
3. **Write acceptance criteria that prevent shortcuts**:
- Require specific test coverage
- Mandate error handling
- Specify edge cases
- Include performance requirements
4. **Make testing non-optional**:
- Every task includes "Tests written and passing"
- Integration tasks require integration tests
- No task complete without verification
**Example Task Structure**:
```markdown
## Phase 1: Foundation
### Task 1.1: Configuration Schema
- [ ] Create Pydantic models for all config sections
- [ ] Validate YAML parsing
- [ ] Handle missing/invalid configurations
- [ ] **Tests**: Config validation tests (>90% coverage)
- [ ] **Acceptance**: All edge cases handled, no runtime config errors
### Task 1.2: Podman Client Wrapper
- [ ] Implement container create/start/stop/remove
- [ ] Handle connection errors gracefully
- [ ] Add timeout protection
- [ ] **Tests**: Unit tests with mocked Podman API
- [ ] **Acceptance**: All Podman operations covered, error paths tested
```
**Anti-pattern Warning**: Vague criteria like "Implement X" or "Make Y work" lead to incomplete implementations. The AI will declare success prematurely without specific verification requirements.
### Phase 3: Guided AI Implementation
**Objective**: Leverage AI for rapid implementation while maintaining human control over design decisions.
**Human Role**:
- **Architect**: Make design choices when ambiguity exists
- **Reviewer**: Validate implementations against architecture
- **Course-corrector**: Intervene when AI diverges from requirements
- **Preference-setter**: Override AI's default choices when alternatives better suit your needs
**AI Role**:
- **Implementer**: Write code following specifications
- **Test-writer**: Create comprehensive test coverage
- **Problem-solver**: Debug issues and propose solutions
- **Documenter**: Generate docstrings and comments
**Collaboration Pattern**:
```
Human: [Reviews architecture] → [Creates task with acceptance criteria]
AI: [Implements task] → [Writes tests] → [Runs tests]
Human: [Validates approach] → [Accepts OR provides feedback]
AI: [Refines if needed] → [Marks task complete]
```
**When to Intervene**:
1. **Design Disagreement**: AI chooses approach that conflicts with architecture
- *Example*: "Use threads instead of async for the bridge server"
- *Action*: Redirect to architectural decision
2. **Preference Mismatch**: Implementation works but doesn't match your style
- *Example*: "I prefer explicit error handling over exceptions here"
- *Action*: Request specific changes
3. **Incomplete Coverage**: AI claims completion but acceptance criteria not met
- *Example*: "Task complete" but edge case tests missing
- *Action*: Point to specific uncovered scenarios
4. **Over-engineering**: AI adds unnecessary complexity
- *Example*: Elaborate caching when simple lookup sufficient
- *Action*: Request simplification
**When NOT to Intervene**:
- Implementation details within architectural constraints
- Naming conventions (unless critical to domain)
- Code organization within modules
- Test structure (if coverage is adequate)
### Phase 4: Integration Validation
**Objective**: Verify components work together as designed.
**Trigger**: As soon as two or more components interact.
**Process**:
1. **Write integration tests immediately**:
```python
def test_execute_with_audit_logging():
"""Integration: Execution + Audit"""
result = backend.execute(code="print('test')")
assert result.success
# Verify audit log entry created
logs = audit_logger.get_recent()
assert any(log.event_type == "EXECUTION" for log in logs)
```
2. **Test failure paths**:
- Network errors during MCP communication
- Container crashes during execution
- Resource limit violations
3. **Validate end-to-end flows**:
- Complete user scenarios from entry to exit
- Cross-component data flow
- State consistency across boundaries
4. **Performance validation**:
- Measure actual execution times
- Verify resource cleanup
- Check memory leaks
**Critical Insight**: Unit tests verify components work in isolation; integration tests verify your architecture is correct. Both are mandatory.
## Case Study: MCP Tool Injection Feature
This feature demonstrates the methodology in practice:
### Architecture Decision
```markdown
**Requirement**: Python code in containers must call rag-mcp tools
**Design**: Unix socket bridge
- Bridge server runs on host
- Socket mounted into containers
- Python wrapper functions generated dynamically
- JSON-RPC over socket
```
### Task Breakdown
```markdown
1. MCPClientManager: Connect to external MCP servers
2. ToolBridgeServer: Unix socket server forwarding calls
3. ToolInjectionGenerator: Generate Python wrapper code
4. Integration: Volume mounting + code injection
```
### Guided Implementation
**Iteration 1**: AI used threading for bridge server
- **Human intervention**: "Use asyncio instead, server already async"
- **Result**: Full async rewrite
**Iteration 2**: Root() serialization returned empty dicts
- **AI debugging**: Discovered FastMCP wraps data in Root objects
- **Solution**: Parse from `content[0].text` instead
- **Human validation**: "Test with real rag-mcp call"
**Iteration 3**: Integration test
```python
def test_tool_injection_end_to_end():
result = execute_python(
code='''
docs = browse_documents(page_size=2)
print(f"Retrieved {len(docs)} documents")
''',
mcp_tools=['browse_documents']
)
assert "Retrieved 2 documents" in result.stdout
```
**Result**: Working in 2 seconds per call, 100 records retrieved without context pollution.
## Benefits and Limitations
### Benefits
1. **Speed**: 5,000+ LOC in one day without sacrificing quality
2. **Quality**: Test-driven approach forces correctness
3. **Architecture**: Planning phase prevents structural rework
4. **Maintainability**: Clear separation of concerns, well-documented
5. **Flexibility**: Easy to adjust during development (change architecture → update tasks → re-implement)
### Limitations
1. **Requires Domain Knowledge**: Human must understand the problem space
- *Mitigated by*: AI can explain concepts, but cannot design unfamiliar systems
2. **Architecture Skills Critical**: Poor initial design leads to rework
- *Mitigated by*: Start with high-level design, refine before implementation
3. **Acceptance Criteria Must Be Precise**: Vague criteria → incomplete implementation
- *Mitigated by*: Include specific tests and edge cases in task descriptions
4. **AI Can't Resolve Ambiguity**: Will make assumptions that may not align with intent
- *Mitigated by*: Review implementations actively, provide feedback early
### Comparison with Traditional Development
| Aspect | Traditional | This Methodology | Speedup |
|--------|------------|------------------|---------|
| Planning | 1-2 days | 2-3 hours | 3-4x |
| Implementation | 2-3 weeks | 1 day | 10-15x |
| Testing | 2-3 days | Concurrent | 2-3x |
| Documentation | 1-2 days | Concurrent | ∞ |
| **Total** | **3-4 weeks** | **1-2 days** | **15-20x** |
*Note: Assumes experienced developer familiar with domain*
## Best Practices
### DO:
1. **Invest in architecture**: 2-3 hours planning saves days of rework
2. **Write specific acceptance criteria**: Include edge cases, error conditions
3. **Test continuously**: Don't accumulate untested code
4. **Intervene early**: Small course corrections prevent large detours
5. **Document decisions**: Capture "why" not just "what"
### DON'T:
1. **Skip planning**: "Start coding and figure it out" fails with AI
2. **Accept vague completions**: AI will claim success too early
3. **Batch testing**: Test each component before building next
4. **Over-specify implementation**: Allow AI freedom within constraints
5. **Ignore integration testing**: Unit tests alone miss architectural issues
## Applicability
This methodology works best for:
### Ideal Projects:
- ✅ Well-defined requirements
- ✅ Known technology stack
- ✅ Experienced human architect
- ✅ Clear success criteria
- ✅ 1,000-10,000 LOC scale
### Less Suitable For:
- ❌ Research/exploratory projects
- ❌ Novel algorithm development
- ❌ UI/UX heavy applications
- ❌ Undefined requirements
- ❌ Extreme performance optimization
## Future Directions
Potential methodology enhancements:
1. **Formal Verification**: Use AI to generate formal specifications from architecture
2. **Automated Architecture Validation**: Check implementations against architectural constraints
3. **Progressive Refinement**: Start with high-level design, AI proposes detailed architecture
4. **Multi-Agent Collaboration**: Separate AI agents for architecture, implementation, testing
## Conclusion
AI-assisted development can achieve 10-20x speedups over traditional development when combined with:
1. Upfront architectural planning
2. Test-driven task breakdown
3. Human oversight on design decisions
4. Continuous integration validation
The key insight is that **AI excels at implementation but requires human guidance on architecture**. By clearly separating these concerns and establishing objective acceptance criteria, we can leverage AI's speed while maintaining human control over system design.
The mcp-forge case study demonstrates this is not theoretical: 5,325 lines of production-quality code, fully tested, with zero architectural rework, in a single day of development. This represents a paradigm shift in how software can be built.
## References
**Project**: mcp-forge - Secure Python Execution Server with MCP Support
- **Repository**: [URL]
- **LOC**: 5,325 (source), 388 tests
- **Development Time**: 1 day (single human + AI)
- **Technology**: Python, FastMCP, Podman, asyncio
- **Complexity**: Multi-component system with security, async I/O, container orchestration
**Artifacts**:
- `docs/architecture1.md`: Initial architecture document
- `docs/todo.md`: Test-driven task breakdown
- `src/`: Implementation following architecture
- `tests/`: 388 tests with >90% coverage
---
*Document Version*: 1.0
*Date*: February 6, 2026
*Author*: Based on mcp-forge development experience

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[project]
name = "mcp-forge"
version = "0.1.0"
description = "Add your description here"
readme = "README.md"
authors = [
{ name = "Hans Aschauer", email = "hans.git@ch23.de" }
]
requires-python = ">=3.13"
dependencies = [
"fastmcp>=2.14.5",
"podman>=5.7.0",
"pydantic>=2.12.5",
"pyyaml>=6.0.3",
]
[project.scripts]
mcp-forge = "mcp_forge.__main__:main"
[build-system]
requires = ["uv_build>=0.9.26,<0.10.0"]
build-backend = "uv_build"
[dependency-groups]
dev = [
"pytest>=9.0.2",
"pytest-asyncio>=1.3.0",
"pytest-mock>=3.15.1",
]

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"""
MCP-Forge: Secure Python Execution Environment with MCP Protocol Support.
A containerized Python execution server that integrates with the Model Context Protocol,
providing secure, isolated code execution with resource limits and audit logging.
"""
__version__ = "0.1.0"
from .__main__ import main
__all__ = ["main", "__version__"]

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"""
MCP-Forge CLI Entry Point.
Provides command-line interface for starting the MCP-Forge server.
"""
import argparse
import sys
import logging
from pathlib import Path
from .config.loader import load_config
from .server.server import ForgeServer
def setup_logging(verbose: bool = False) -> None:
"""Configure logging for the server."""
level = logging.DEBUG if verbose else logging.INFO
logging.basicConfig(
level=level,
format='%(asctime)s - %(name)s - %(levelname)s - %(message)s',
datefmt='%Y-%m-%d %H:%M:%S'
)
def parse_args() -> argparse.Namespace:
"""Parse command-line arguments."""
parser = argparse.ArgumentParser(
prog='mcp-forge',
description='MCP-Forge: Secure Python execution server with MCP protocol support'
)
parser.add_argument(
'--config',
type=Path,
help='Path to configuration file (YAML)',
default=None
)
parser.add_argument(
'--host',
type=str,
help='Server host address (default: localhost)',
default='localhost'
)
parser.add_argument(
'--port',
type=int,
help='Server port (default: 3000)',
default=3000
)
parser.add_argument(
'--transport',
type=str,
choices=['stdio', 'sse', 'http'],
help='Transport protocol (default: stdio)',
default='stdio'
)
parser.add_argument(
'--verbose',
'-v',
action='store_true',
help='Enable verbose logging'
)
return parser.parse_args()
def run_server(args: argparse.Namespace) -> None:
"""Run the server with the specified configuration."""
# Load configuration
if args.config:
logging.info(f"Loading configuration from {args.config}")
config = load_config(args.config)
else:
logging.error("No configuration file specified. Use --config <path>")
sys.exit(1)
# Override config with CLI arguments if provided
if args.host != 'localhost':
config.server.host = args.host
if args.port != 3000:
config.server.port = args.port
# Initialize server
logging.info("Initializing MCP-Forge server...")
forge_server = ForgeServer(config)
# Run with appropriate transport (blocking call)
try:
if args.transport == 'stdio':
logging.info("Starting server with stdio transport")
forge_server.run(transport="stdio")
elif args.transport == 'http':
logging.info(f"Starting server with HTTP transport on {config.server.host}:{config.server.port}")
forge_server.run(transport="http", host=config.server.host, port=config.server.port)
elif args.transport == 'sse':
logging.info(f"Starting server with SSE transport on {config.server.host}:{config.server.port}")
forge_server.run(transport="sse", host=config.server.host, port=config.server.port)
except KeyboardInterrupt:
logging.info("Received shutdown signal")
except Exception as e:
logging.error(f"Server error: {e}", exc_info=True)
sys.exit(1)
finally:
logging.info("Server shutdown complete")
def main() -> None:
"""Main entry point for the CLI."""
args = parse_args()
setup_logging(args.verbose)
try:
run_server(args)
except KeyboardInterrupt:
pass # Clean exit on Ctrl+C
except Exception as e:
logging.error(f"Fatal error: {e}", exc_info=True)
sys.exit(1)
if __name__ == '__main__':
main()

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"""Custom environment builder components."""
from .package_validator import PackageValidator, SecurityError, ApprovalRequiredError
from .uv_installer import UVInstaller
from .image_builder import ImageBuilder, BuildResult
from .environment_builder import EnvironmentBuilder, BuildRateLimiter
__all__ = [
"PackageValidator",
"SecurityError",
"ApprovalRequiredError",
"UVInstaller",
"ImageBuilder",
"BuildResult",
"EnvironmentBuilder",
"BuildRateLimiter",
]

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"""Environment builder orchestration with security validation."""
import re
import shutil
import threading
from typing import List, Optional, Dict, Set
from pathlib import Path
from datetime import datetime, timedelta
from mcp_forge.config.schema import EnvironmentBuilderConfig
from mcp_forge.podman.client import PodmanClient
from mcp_forge.security.audit import AuditLogger, AuditEventType, AuditSeverity
from mcp_forge.builder.package_validator import PackageValidator
from mcp_forge.builder.uv_installer import UVInstaller
from mcp_forge.builder.image_builder import ImageBuilder, BuildResult
class BuildRateLimiter:
"""Rate limiter for build requests."""
def __init__(self, max_requests: int, period_seconds: int):
"""
Initialize rate limiter.
Args:
max_requests: Maximum requests per period
period_seconds: Period length in seconds
"""
self.max_requests = max_requests
self.period_seconds = period_seconds
self.requests: Dict[str, List[datetime]] = {}
self.lock = threading.Lock()
def check_rate_limit(self, user_id: str) -> None:
"""
Check if user is within rate limit.
Args:
user_id: User identifier
Raises:
RuntimeError: If rate limit exceeded
"""
with self.lock:
now = datetime.now()
# Initialize user's request list if needed
if user_id not in self.requests:
self.requests[user_id] = []
# Clean up old requests
self._cleanup_old_requests(user_id, now)
# Check if at limit
if len(self.requests[user_id]) >= self.max_requests:
raise RuntimeError(
f"Rate limit exceeded: {self.max_requests} requests "
f"per {self.period_seconds} seconds"
)
# Record this request
self.requests[user_id].append(now)
def _cleanup_old_requests(self, user_id: str, now: datetime) -> None:
"""
Remove requests older than period.
Args:
user_id: User identifier
now: Current time
"""
cutoff = now - timedelta(seconds=self.period_seconds)
self.requests[user_id] = [
req_time for req_time in self.requests[user_id]
if req_time > cutoff
]
class EnvironmentBuilder:
"""Builds custom Python environments with security validation."""
def __init__(
self,
config: EnvironmentBuilderConfig,
podman_client: PodmanClient,
audit_logger: AuditLogger
):
"""
Initialize environment builder.
Args:
config: Environment builder configuration
podman_client: Podman API client
audit_logger: Audit logging instance
"""
self.config = config
self.podman = podman_client
self.audit_logger = audit_logger
# Initialize sub-components
self.package_validator = PackageValidator(
config.package_validation
)
self.uv_installer = UVInstaller(config.uv_cache_path)
self.image_builder = ImageBuilder(
podman_client, config, audit_logger
)
# Rate limiting and concurrency control
self.rate_limiter = BuildRateLimiter(
max_requests=config.build_rate_limit['requests'],
period_seconds=config.build_rate_limit['period']
)
self.active_builds: Set[str] = set()
self.active_builds_lock = threading.Lock()
def build_custom_environment(
self,
name: str,
packages: List[str],
base_image: str = "python:3.11-slim",
python_version: str = "3.11",
description: str = "",
user_id: str = "default"
) -> BuildResult:
"""
Build custom environment with packages.
Process:
1. Check rate limit
2. Check concurrent builds limit
3. Validate environment name
4. Validate package count
5. Validate package names (allowlist/blocklist)
6. Generate build context with UV
7. Build image
8. Cleanup build context
Args:
name: Environment name (alphanumeric + hyphens)
packages: List of package specifications
base_image: Base image to build from
python_version: Python version
description: Optional description
user_id: User ID for rate limiting
Returns:
BuildResult
Raises:
ValueError: If validation fails
SecurityError: If security check fails
RuntimeError: If rate limit or concurrency exceeded
"""
# Check rate limit
self.rate_limiter.check_rate_limit(user_id)
# Check concurrent builds
self._check_concurrent_builds()
# Validate environment name
if not re.match(r'^[a-zA-Z0-9-]+$', name):
raise ValueError(
f"Environment name '{name}' must contain only alphanumeric characters and hyphens"
)
# Validate package count
if len(packages) > self.config.max_packages:
raise ValueError(
f"Package count {len(packages)} exceeds maximum {self.config.max_packages}"
)
# Log build start
self.audit_logger.log(
event_type=AuditEventType.BUILD_REQUEST,
severity=AuditSeverity.INFO,
message=f"Building environment: {name}",
details={
"packages": packages,
"base_image": base_image,
"user_id": user_id
}
)
build_context = None
try:
# Register build as active
self._register_build_start(name)
# Validate packages
self.package_validator.validate_packages(packages)
# Generate build context
build_context = self.uv_installer.create_build_context(
packages=packages,
base_image=base_image,
python_version=python_version
)
# Build image
result = self.image_builder.build_image(
name=name,
build_context=build_context,
base_image=base_image,
packages=packages
)
# Log completion
self.audit_logger.log(
event_type=AuditEventType.BUILD_COMPLETE,
severity=AuditSeverity.INFO,
message=f"Environment built: {name}",
details={
"image_id": result.image_id,
"build_time": result.build_time,
"user_id": user_id
}
)
return result
finally:
# Always cleanup
self._register_build_complete(name)
if build_context and build_context.exists():
shutil.rmtree(build_context, ignore_errors=True)
def build_from_template(
self,
template_name: str,
additional_packages: Optional[List[str]] = None,
name: Optional[str] = None,
user_id: str = "default"
) -> BuildResult:
"""
Build environment from template.
Expands template packages and adds additional packages.
Args:
template_name: Name of template to use
additional_packages: Optional additional packages
name: Optional custom name (uses template name if not provided)
user_id: User ID for rate limiting
Returns:
BuildResult
Raises:
ValueError: If template not found
"""
# Validate template exists
if template_name not in self.config.templates:
raise ValueError(f"Template '{template_name}' not found")
template = self.config.templates[template_name]
# Combine template and additional packages
packages = template["packages"].copy()
if additional_packages:
packages.extend(additional_packages)
# Use template name if no custom name provided
if name is None:
name = template_name
# Build with combined package list
return self.build_custom_environment(
name=name,
packages=packages,
description=template.get("description", ""),
user_id=user_id
)
def list_templates(self) -> Dict[str, dict]:
"""
List available templates.
Returns:
Dictionary of template name to template metadata
"""
return self.config.templates
def _check_concurrent_builds(self) -> None:
"""
Check concurrent builds limit.
Raises:
RuntimeError: If at max concurrent builds
"""
with self.active_builds_lock:
if len(self.active_builds) >= self.config.max_concurrent_builds:
raise RuntimeError(
f"Maximum concurrent builds ({self.config.max_concurrent_builds}) reached"
)
def _register_build_start(self, name: str) -> None:
"""
Register build as started.
Args:
name: Environment name
"""
with self.active_builds_lock:
self.active_builds.add(name)
def _register_build_complete(self, name: str) -> None:
"""
Register build as completed.
Args:
name: Environment name
"""
with self.active_builds_lock:
self.active_builds.discard(name)

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"""Container image builder with security validation."""
import json
import time
import hashlib
import re
from typing import List, Optional
from pathlib import Path
from dataclasses import dataclass
from mcp_forge.podman.client import PodmanClient
from mcp_forge.config.schema import EnvironmentBuilderConfig
from mcp_forge.security.audit import AuditLogger, AuditEventType, AuditSeverity
from mcp_forge.security.resource_limits import parse_memory_string
@dataclass
class BuildResult:
"""Result of image build."""
success: bool
image_name: str
image_id: str
build_time: float
size_bytes: int
cache_hit: bool
installed_packages: List[str]
error: Optional[str] = None
def to_dict(self) -> dict:
"""Convert to dictionary for JSON serialization."""
return {
"success": self.success,
"image_name": self.image_name,
"image_id": self.image_id,
"build_time": self.build_time,
"size_bytes": self.size_bytes,
"cache_hit": self.cache_hit,
"installed_packages": self.installed_packages,
"error": self.error
}
class ImageBuilder:
"""Builds container images with security validation."""
def __init__(
self,
podman_client: PodmanClient,
config: EnvironmentBuilderConfig,
audit_logger: AuditLogger
):
"""
Initialize image builder.
Args:
podman_client: Podman API client
config: Environment builder configuration
audit_logger: Audit logging instance
"""
self.podman = podman_client
self.config = config
self.audit_logger = audit_logger
def build_image(
self,
name: str,
build_context: Path,
base_image: str,
packages: List[str],
timeout: Optional[int] = None
) -> BuildResult:
"""
Build container image from build context.
Process:
1. Validate build context
2. Generate image tag
3. Build image with Podman
4. Validate image size
5. Extract installed packages
6. Cleanup build artifacts
Args:
name: Environment name (user-provided)
build_context: Path to build context directory
base_image: Base image to build from
packages: List of packages being installed
timeout: Build timeout (uses config default if None)
Returns:
BuildResult
Raises:
ValueError: If timeout exceeds max or validation fails
RuntimeError: If build fails
"""
# Validate build context
self._validate_build_context(build_context)
# Use default timeout if not specified
timeout = timeout if timeout is not None else self.config.build_timeout
# Validate timeout against maximum
if timeout > self.config.max_build_timeout:
raise ValueError(
f"Timeout {timeout} exceeds maximum {self.config.max_build_timeout}"
)
# Generate image tag
tag = self.generate_tag(name)
# Calculate cache hash
cache_hash = self.calculate_cache_hash(packages)
# Log build start
self.audit_logger.log(
event_type=AuditEventType.IMAGE_BUILD_START,
severity=AuditSeverity.INFO,
message=f"Building image: {tag}",
details={
"base_image": base_image,
"packages": packages,
"cache_hash": cache_hash
}
)
start_time = time.time()
try:
# Build image with Podman
image, build_logs = self.podman.images.build(
path=str(build_context),
tag=tag,
timeout=timeout,
rm=True, # Remove intermediate containers
pull=False # Don't pull base image (assume it exists)
)
build_time = time.time() - start_time
# Validate image size
size_bytes = self.validate_image_size(image.id)
# Extract installed packages
installed_packages = self.extract_installed_packages(image.id)
# Log success
self.audit_logger.log(
event_type=AuditEventType.IMAGE_BUILD_SUCCESS,
severity=AuditSeverity.INFO,
message=f"Image built successfully: {tag}",
details={
"image_id": image.id,
"build_time": build_time,
"size_bytes": size_bytes,
"installed_packages": len(installed_packages)
}
)
return BuildResult(
success=True,
image_name=tag,
image_id=image.id,
build_time=build_time,
size_bytes=size_bytes,
cache_hit=False, # TODO: implement cache checking
installed_packages=installed_packages
)
except Exception as e:
build_time = time.time() - start_time
# Log failure
self.audit_logger.log(
event_type=AuditEventType.IMAGE_BUILD_FAILURE,
severity=AuditSeverity.ERROR,
message=f"Image build failed: {tag}",
error=str(e),
details={"build_time": build_time}
)
raise RuntimeError(f"Build failed: {e}") from e
def generate_tag(self, name: str) -> str:
"""
Generate image tag.
Format: mcp-forge/custom:{name}
Validates name is alphanumeric + hyphens only.
Args:
name: Environment name
Returns:
Full image tag
Raises:
ValueError: If name contains invalid characters
"""
# Validate name (alphanumeric + hyphens only)
if not re.match(r'^[a-zA-Z0-9-]+$', name):
raise ValueError(
f"Environment name '{name}' must contain only alphanumeric characters and hyphens"
)
return f"mcp-forge/custom:{name}"
def validate_image_size(self, image_id: str) -> int:
"""
Validate image size against maximum.
Args:
image_id: Image ID to validate
Returns:
Size in bytes
Raises:
ValueError: If image exceeds max size
"""
image = self.podman.images.get(image_id)
size_bytes = image.attrs.get("Size", 0)
max_size_bytes = parse_memory_string(self.config.max_image_size)
if size_bytes > max_size_bytes:
raise ValueError(
f"Image size {size_bytes} bytes exceeds maximum {max_size_bytes} bytes"
)
return size_bytes
def extract_installed_packages(self, image_id: str) -> List[str]:
"""
Extract list of installed packages from image.
Runs: pip list --format=json in container
Args:
image_id: Image ID to inspect
Returns:
List of package specifications (name==version)
"""
try:
# Run pip list in container
container = self.podman.containers.run(
image=image_id,
command=["pip", "list", "--format=json"],
remove=False,
detach=False
)
exit_code, output = container.exec_run(
["pip", "list", "--format=json"]
)
if exit_code != 0:
return []
# Parse JSON output
packages_data = json.loads(output.decode('utf-8'))
# Format as name==version
packages = [
f"{pkg['name']}=={pkg['version']}"
for pkg in packages_data
]
return packages
except Exception:
# Return empty list on error
return []
def calculate_cache_hash(self, packages: List[str]) -> str:
"""
Calculate hash of package list for cache key.
Hash is order-independent (sorts packages first).
Args:
packages: List of package specifications
Returns:
SHA256 hash hex string
"""
# Sort packages for order-independent hash
sorted_packages = sorted(packages)
# Join and hash
packages_str = '\n'.join(sorted_packages)
hash_obj = hashlib.sha256(packages_str.encode('utf-8'))
return hash_obj.hexdigest()
def _validate_build_context(self, build_context: Path) -> None:
"""
Validate build context exists and contains Containerfile.
Args:
build_context: Path to build context
Raises:
ValueError: If validation fails
"""
if not build_context.exists():
raise ValueError(f"Build context does not exist: {build_context}")
if not build_context.is_dir():
raise ValueError(f"Build context is not a directory: {build_context}")
containerfile = build_context / "Containerfile"
if not containerfile.exists():
raise ValueError(f"Containerfile not found in build context: {build_context}")

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"""Package validation against security policies."""
import re
from typing import List, Set, Optional, Pattern
from pathlib import Path
from mcp_forge.config.schema import PackageValidationConfig
class SecurityError(Exception):
"""Raised when package is blocked by security policy."""
pass
class ApprovalRequiredError(Exception):
"""Raised when package requires manual approval."""
pass
class PackageValidator:
"""Validates package names against security policy."""
def __init__(self, config: PackageValidationConfig):
"""
Initialize package validator.
Args:
config: Package validation configuration
"""
self.config = config
self.allowlist: Set[str] = self._load_allowlist()
self.blocklist: Set[str] = self._load_blocklist()
self.approval_patterns: List[Pattern] = self._compile_patterns()
def validate_packages(
self,
packages: List[str],
max_packages: Optional[int] = None
) -> None:
"""
Validate list of package specifications.
Args:
packages: List of package specs (e.g., ["numpy>=1.24", "pandas"])
max_packages: Maximum number of packages allowed
Raises:
ValueError: If too many packages
SecurityError: If package is blocklisted
ApprovalRequiredError: If package requires approval
"""
# Check package count limit
if max_packages is not None and len(packages) > max_packages:
raise ValueError(
f"Maximum {max_packages} packages allowed, got {len(packages)}"
)
# Validate each package
for package_spec in packages:
self.validate_package(package_spec)
def validate_package(self, package_spec: str) -> None:
"""
Validate single package specification.
Extracts package name from spec (handles >=, ==, <=, etc.)
Checks against blocklist, allowlist, and approval patterns.
Args:
package_spec: Package specification (e.g., "numpy>=1.24.0")
Raises:
SecurityError: If package is blocklisted or not in allowlist
ApprovalRequiredError: If package requires manual approval
"""
# Extract clean package name
package_name = self.extract_package_name(package_spec)
# Check blocklist first (highest priority)
if package_name in self.blocklist:
raise SecurityError(f"Package '{package_name}' is blocklisted")
# Check approval patterns
for pattern in self.approval_patterns:
if pattern.match(package_name):
raise ApprovalRequiredError(
f"Package '{package_name}' requires manual approval"
)
# Check allowlist if enabled
if self.config.use_allowlist:
if package_name not in self.allowlist:
raise SecurityError(
f"Package '{package_name}' is not in allowlist"
)
def extract_package_name(self, package_spec: str) -> str:
"""
Extract package name from specification.
Handles version specifiers, extras, and whitespace.
Examples:
"numpy>=1.24.0" "numpy"
"requests==2.28.0" "requests"
"pandas[excel]" "pandas"
" numpy " "numpy"
Args:
package_spec: Package specification string
Returns:
Clean package name
"""
# Remove leading/trailing whitespace
spec = package_spec.strip()
# Remove version specifiers (>=, ==, <=, ~=, !=, <, >)
# Pattern matches: package-name[extras]>=version,<version
# We want to extract just the package-name part
# First remove extras like [security] or [excel,sql]
if '[' in spec:
spec = spec.split('[')[0]
# Then remove version specifiers
# Match any of: >= == <= ~= != < > ,
spec = re.split(r'[><=!~,]', spec)[0]
return spec.strip()
def _load_allowlist(self) -> Set[str]:
"""
Load allowlist from file.
Returns:
Set of allowed package names
Raises:
FileNotFoundError: If allowlist file doesn't exist when use_allowlist is True
"""
if not self.config.use_allowlist or not self.config.allowlist_path:
return set()
path = Path(self.config.allowlist_path)
if not path.exists():
raise FileNotFoundError(f"Allowlist file not found: {path}")
allowlist = set()
with open(path, 'r') as f:
for line in f:
line = line.strip()
# Skip comments and empty lines
if line and not line.startswith('#'):
allowlist.add(line)
return allowlist
def _load_blocklist(self) -> Set[str]:
"""
Load blocklist from file.
Returns:
Set of blocked package names
"""
if not self.config.blocklist_path:
return set()
path = Path(self.config.blocklist_path)
if not path.exists():
return set()
blocklist = set()
with open(path, 'r') as f:
for line in f:
line = line.strip()
# Skip comments and empty lines
if line and not line.startswith('#'):
blocklist.add(line)
return blocklist
def _compile_patterns(self) -> List[Pattern]:
"""
Compile approval requirement patterns.
Returns:
List of compiled regex patterns
"""
patterns = []
for pattern_str in self.config.require_approval_patterns:
try:
pattern = re.compile(pattern_str)
patterns.append(pattern)
except re.error:
# Log warning but continue
pass
return patterns

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"""UV-based package installer for custom environments."""
import tempfile
import shutil
from typing import List
from pathlib import Path
class UVInstaller:
"""Manages UV-based package installation in containers."""
def __init__(self, cache_path: Path):
"""
Initialize UV installer.
Args:
cache_path: Path to UV cache directory
"""
self.cache_path = Path(cache_path)
self._ensure_cache_dir()
def generate_requirements(self, packages: List[str]) -> str:
"""
Generate requirements.txt content.
One package per line with version specifiers preserved.
Args:
packages: List of package specifications
Returns:
requirements.txt content
"""
if not packages:
return ""
return '\n'.join(packages)
def generate_containerfile(
self,
base_image: str,
packages: List[str],
python_version: str = "3.11"
) -> str:
"""
Generate Containerfile for building custom environment.
Containerfile structure optimizes layer caching:
1. Base image
2. Install UV (cached layer)
3. Create non-root user
4. Copy requirements.txt (cache-friendly)
5. Install packages with UV
6. Set working directory
Args:
base_image: Base container image
packages: List of package specifications
python_version: Python version (for reference)
Returns:
Containerfile content
"""
has_packages = bool(packages)
containerfile = f"""FROM {base_image}
# Install UV for fast package installation
RUN pip install --no-cache-dir uv
# Create non-root user for security
RUN useradd -m -u 1000 -s /bin/bash forge && \\
mkdir -p /home/forge/.cache/uv && \\
chown -R forge:forge /home/forge
# Switch to non-root user
USER forge
WORKDIR /home/forge
# Copy requirements for layer caching
COPY --chown=forge:forge requirements.txt /home/forge/requirements.txt
"""
if has_packages:
containerfile += """# Install packages with UV
RUN uv pip install --system -r requirements.txt
"""
containerfile += """# Set working directory
WORKDIR /home/forge/workspace
# Default command
CMD ["/bin/bash"]
"""
return containerfile
def create_build_context(
self,
base_image: str,
packages: List[str],
python_version: str = "3.11"
) -> Path:
"""
Create temporary build context directory.
Contains:
- Containerfile
- requirements.txt
Args:
base_image: Base container image
packages: List of package specifications
python_version: Python version
Returns:
Path to build context directory (caller must cleanup)
"""
# Create temporary directory
context_dir = Path(tempfile.mkdtemp(prefix="mcp-forge-build-"))
try:
# Generate Containerfile
containerfile_content = self.generate_containerfile(
base_image, packages, python_version
)
containerfile_path = context_dir / "Containerfile"
containerfile_path.write_text(containerfile_content)
# Generate requirements.txt
requirements_content = self.generate_requirements(packages)
requirements_path = context_dir / "requirements.txt"
requirements_path.write_text(requirements_content)
return context_dir
except Exception:
# Cleanup on error
shutil.rmtree(context_dir, ignore_errors=True)
raise
def get_cache_volume_mount(self) -> dict:
"""
Get volume mount configuration for UV cache.
Returns:
Volume mount dict for Podman
"""
return {
"bind": "/home/forge/.cache/uv",
"mode": "rw"
}
def _ensure_cache_dir(self) -> None:
"""Ensure UV cache directory exists."""
self.cache_path.mkdir(parents=True, exist_ok=True)

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"""Configuration management for MCP-Forge."""
from .schema import ForgeConfig
from .loader import load_config, load_config_from_dict, substitute_env_vars
__all__ = ["ForgeConfig", "load_config", "load_config_from_dict", "substitute_env_vars"]

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"""
Configuration loader module.
Loads configuration from YAML files with environment variable substitution.
Priority: Environment variables > Config file > Defaults
"""
import os
import re
from pathlib import Path
from typing import Any, Optional, Dict
import yaml
from .schema import ForgeConfig
def substitute_env_vars(value: Any) -> Any:
"""
Recursively substitute ${VAR} with environment variables.
Args:
value: Any value (string, dict, list, etc.) to process
Returns:
Value with all ${VAR} patterns replaced by environment variable values
Raises:
ValueError: If an environment variable is referenced but not set
Note:
Only performs safe string substitution - no eval() or exec() usage.
"""
if isinstance(value, str):
# Find all ${VAR} patterns
pattern = r'\$\{([A-Za-z_][A-Za-z0-9_]*)\}'
def replace_var(match):
var_name = match.group(1)
if var_name not in os.environ:
raise ValueError(
f"Environment variable '{var_name}' is referenced but not set"
)
return os.environ[var_name]
return re.sub(pattern, replace_var, value)
elif isinstance(value, dict):
return {k: substitute_env_vars(v) for k, v in value.items()}
elif isinstance(value, list):
return [substitute_env_vars(item) for item in value]
else:
# Return other types unchanged (int, bool, None, etc.)
return value
def load_config(config_path: Optional[Path] = None) -> ForgeConfig:
"""
Load configuration from YAML file and environment.
Priority: Environment variables > Config file > Defaults
Args:
config_path: Path to YAML configuration file. If None, uses defaults.
Returns:
Validated ForgeConfig instance
Raises:
FileNotFoundError: If config_path is provided but doesn't exist
yaml.YAMLError: If YAML syntax is invalid
ValueError: If environment variable is referenced but not set
ValidationError: If configuration validation fails
"""
if config_path is None:
# Return minimal config with defaults - would need all required fields
# For now, we require a config file
raise ValueError("config_path is required")
if not config_path.exists():
raise FileNotFoundError(f"Configuration file not found: {config_path}")
# Load YAML file
with open(config_path, 'r') as f:
config_dict = yaml.safe_load(f)
if config_dict is None:
raise yaml.YAMLError("Configuration file is empty")
# Substitute environment variables
config_dict = substitute_env_vars(config_dict)
# Validate and return config
return ForgeConfig(**config_dict)
def load_config_from_dict(config_dict: Dict[str, Any]) -> ForgeConfig:
"""
Load configuration from dictionary (for testing).
Args:
config_dict: Configuration dictionary
Returns:
Validated ForgeConfig instance
Raises:
ValueError: If environment variable is referenced but not set
ValidationError: If configuration validation fails
"""
# Substitute environment variables
config_dict = substitute_env_vars(config_dict)
# Validate and return config
return ForgeConfig(**config_dict)

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"""
Configuration schema module.
Defines and validates configuration structures using Pydantic models.
All configuration fields have proper type validation and cross-field validation.
"""
from pathlib import Path
from typing import Dict, List, Literal, Any, Optional
from pydantic import BaseModel, Field, field_validator, model_validator
class ServerConfig(BaseModel):
"""Server configuration with network and Podman settings."""
host: str = "localhost"
port: int = 3000
podman_socket: Path
@field_validator('port')
@classmethod
def validate_port(cls, v: int) -> int:
"""Validate port is in valid range (1-65535)."""
if not 1 <= v <= 65535:
raise ValueError(f"Port must be between 1 and 65535, got {v}")
return v
class ExecutionConfig(BaseModel):
"""Execution backend configuration and resource limits."""
default_backend: Literal["simple", "jupyter"] = "simple"
default_timeout: int = 300
max_timeout: int = 1800
default_memory: str = "512m"
max_memory: str = "2g"
default_cpu_quota: int = 50000
max_cpu_quota: int = 100000
@field_validator('max_timeout')
@classmethod
def validate_max_timeout(cls, v: int, info) -> int:
"""Validate that max_timeout >= default_timeout."""
default_timeout = info.data.get('default_timeout', 0)
if v < default_timeout:
raise ValueError(
f"max_timeout ({v}) must be >= default_timeout ({default_timeout})"
)
return v
class ImageConfig(BaseModel):
"""Container image configuration."""
python_3_11: str = "mcp-forge/python:3.11"
python_3_12: str = "mcp-forge/python:3.12"
jupyter: str = "mcp-forge/jupyter:latest"
auto_pull: bool = True
pull_interval: int = 86400 # 24 hours in seconds
class SessionConfig(BaseModel):
"""Stateful session configuration."""
idle_timeout: int = 3600 # 1 hour in seconds
max_concurrent: int = 10
cleanup_interval: int = 300 # 5 minutes in seconds
class VolumeConfig(BaseModel):
"""Volume and storage configuration."""
base_path: Path
session_quota: str = "1g"
max_session_quota: str = "10g"
class SecurityConfig(BaseModel):
"""Security and audit configuration."""
audit_log: Path
enforce_resource_limits: bool = True
allow_network: bool = False
class PackageValidationConfig(BaseModel):
"""Package validation policy configuration."""
use_allowlist: bool = True
allowlist_path: Path
blocklist_path: Path
require_approval_patterns: List[str] = Field(default_factory=list)
class EnvironmentBuilderConfig(BaseModel):
"""Custom environment builder configuration."""
enabled: bool = True
uv_cache_path: Path
max_packages_per_build: int = 50
max_build_time: int = 600 # 10 minutes in seconds
max_image_size: int = 2147483648 # 2GB in bytes
max_concurrent_builds: int = 3
build_rate_limit: Dict[str, Any] = Field(default_factory=dict)
package_validation: PackageValidationConfig
auto_cleanup: Dict[str, Any] = Field(default_factory=dict)
templates: Dict[str, Dict[str, Any]] = Field(default_factory=dict)
class MCPToolConfig(BaseModel):
"""MCP tool configuration for external tool integration."""
transport: Literal["stdio", "http", "sse"] = "stdio"
# For stdio transport
command: Optional[str] = None
args: List[str] = Field(default_factory=list)
env: Dict[str, str] = Field(default_factory=dict)
# For http/sse transport
url: Optional[str] = None
headers: Dict[str, str] = Field(default_factory=dict)
@model_validator(mode='after')
def validate_transport_requirements(self) -> 'MCPToolConfig':
"""Validate that required fields are provided for each transport type."""
if self.transport == 'stdio' and not self.command:
raise ValueError("command is required for stdio transport")
elif self.transport in ('http', 'sse') and not self.url:
raise ValueError(f"url is required for {self.transport} transport")
return self
class ForgeConfig(BaseModel):
"""Complete MCP-Forge configuration with all subsystems."""
server: ServerConfig
execution: ExecutionConfig
images: ImageConfig
sessions: SessionConfig
volumes: VolumeConfig
security: SecurityConfig
environment_builder: EnvironmentBuilderConfig
mcp_tools: Dict[str, MCPToolConfig]

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"""Execution backends for running code in containers."""

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"""Jupyter-based stateful execution backend."""
from .kernel import JupyterKernelManager, KernelInfo, KernelError
from .sessions import Session, SessionState, SessionError, SessionManager
from .backend import JupyterBackend
__all__ = [
"JupyterKernelManager",
"KernelInfo",
"KernelError",
"Session",
"SessionState",
"SessionError",
"SessionManager",
"JupyterBackend"
]

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"""Jupyter backend for stateful code execution."""
from typing import Optional, Dict, List
import hashlib
from mcp_forge.config.schema import ForgeConfig
from mcp_forge.podman.containers import SecureContainerManager
from mcp_forge.security.audit import AuditLogger, AuditEventType, AuditSeverity
from mcp_forge.security.resource_limits import ResourceLimits, parse_memory_string
from mcp_forge.execution.simple.executor import ExecutionResult
from mcp_forge.execution.jupyter.kernel import JupyterKernelManager
from mcp_forge.execution.jupyter.sessions import SessionManager, SessionState, SessionError
class JupyterBackend:
"""Stateful code execution backend using Jupyter kernels."""
def __init__(
self,
config: ForgeConfig,
container_manager: SecureContainerManager,
audit_logger: AuditLogger
):
"""
Initialize Jupyter backend.
Args:
config: Forge configuration
container_manager: Container lifecycle manager
audit_logger: Audit logging instance
"""
self.config = config
self.container_manager = container_manager
self.audit_logger = audit_logger
# Initialize kernel manager
kernel_manager = JupyterKernelManager(
container_manager=container_manager,
image=config.images.jupyter,
resource_limits=self._default_resource_limits()
)
# Initialize session manager
self.session_manager = SessionManager(
config=config.sessions,
kernel_manager=kernel_manager,
audit_logger=audit_logger
)
def execute(
self,
code: str,
session_id: str,
timeout: Optional[int] = None,
memory: Optional[str] = None,
cpu_quota: Optional[int] = None,
custom_image: Optional[str] = None,
volumes: Optional[Dict[str, dict]] = None
) -> ExecutionResult:
"""
Execute code in stateful session.
Creates session if it doesn't exist, reuses existing session otherwise.
Session maintains namespace state across multiple executions.
Args:
code: Python code to execute
session_id: Unique session identifier
timeout: Max execution time in seconds (uses config default if None)
memory: Memory limit string (uses config default if None)
cpu_quota: CPU quota (uses config default if None)
custom_image: Custom image name (uses config default if None)
volumes: Volume mounts dict
Returns:
ExecutionResult with execution output and metadata
Raises:
ValueError: If limits exceed configured maximums
SessionError: If session operation fails
"""
# Use defaults from config if not specified
timeout = timeout if timeout is not None else self.config.execution.default_timeout
memory = memory if memory is not None else self.config.execution.default_memory
cpu_quota = cpu_quota if cpu_quota is not None else self.config.execution.default_cpu_quota
# Validate limits against maximums
self._validate_limits(timeout, memory, cpu_quota)
# Log execution (hash code, don't log actual content)
code_hash = hashlib.sha256(code.encode()).hexdigest()
self.audit_logger.log(
event_type=AuditEventType.EXECUTION_REQUEST,
severity=AuditSeverity.INFO,
message="Stateful code execution requested",
session_id=session_id,
details={
"code_hash": code_hash,
"timeout": timeout,
"memory": memory,
"cpu_quota": cpu_quota
}
)
# Check if session exists, create if needed
try:
self.session_manager.get_session(session_id)
except SessionError:
# Session doesn't exist, create it
resource_limits = ResourceLimits(
memory=memory,
cpu_quota=cpu_quota,
storage="1g", # Default storage quota
timeout=timeout
)
self.session_manager.create_session(
session_id=session_id,
resource_limits=resource_limits,
volumes=volumes
)
# Execute in session
result = self.session_manager.execute_in_session(
session_id=session_id,
code=code,
timeout=timeout
)
return result
def document_state(
self,
session_id: str,
variables: Dict[str, str],
note: str = "",
clear: bool = False
) -> dict:
"""
Document important variables in session.
Args:
session_id: Session to document
variables: Dictionary of variable_name -> description
note: Optional note about session state
clear: If True, replace all documented variables; if False, merge
Returns:
Dictionary with updated state info
Raises:
SessionError: If session doesn't exist
"""
self.session_manager.document_state(
session_id=session_id,
variables=variables,
note=note,
clear=clear
)
# Return updated state
state = self.session_manager.get_session_state(session_id)
return state.to_dict()
def get_session_state(self, session_id: str) -> SessionState:
"""
Get documented state for session.
Args:
session_id: Session identifier
Returns:
SessionState object
Raises:
SessionError: If session doesn't exist
"""
return self.session_manager.get_session_state(session_id)
def destroy_session(self, session_id: str) -> None:
"""
Destroy session and cleanup kernel.
Args:
session_id: Session to destroy
Raises:
SessionError: If session doesn't exist
"""
self.session_manager.destroy_session(session_id)
def list_sessions(self) -> List[dict]:
"""
List all active sessions with metadata.
Returns:
List of session dictionaries
"""
return self.session_manager.list_sessions()
def cleanup_idle_sessions(self) -> int:
"""
Cleanup sessions idle beyond configured timeout.
Returns:
Number of sessions cleaned up
"""
return self.session_manager.cleanup_idle_sessions()
def _default_resource_limits(self) -> Optional[ResourceLimits]:
"""
Get default resource limits from config.
Returns:
ResourceLimits with config defaults, or None if enforcement disabled
"""
if not self.config.security.enforce_resource_limits:
return None
return ResourceLimits(
memory=self.config.execution.default_memory,
cpu_quota=self.config.execution.default_cpu_quota,
storage="1g",
timeout=self.config.execution.default_timeout
)
def _validate_limits(self, timeout: int, memory: str, cpu_quota: int) -> None:
"""
Validate resource limits against configured maximums.
Args:
timeout: Timeout in seconds
memory: Memory limit string
cpu_quota: CPU quota value
Raises:
ValueError: If any limit exceeds maximum
"""
# Validate timeout
if timeout > self.config.execution.max_timeout:
raise ValueError(
f"Timeout {timeout} exceeds maximum {self.config.execution.max_timeout}"
)
# Validate memory
memory_bytes = parse_memory_string(memory)
max_memory_bytes = parse_memory_string(self.config.execution.max_memory)
if memory_bytes > max_memory_bytes:
raise ValueError(
f"Memory {memory} exceeds maximum {self.config.execution.max_memory}"
)
# Validate CPU quota
if cpu_quota > self.config.execution.max_cpu_quota:
raise ValueError(
f"CPU quota {cpu_quota} exceeds maximum {self.config.execution.max_cpu_quota}"
)

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"""Jupyter kernel management for stateful execution."""
from typing import Dict, Optional, List, Any
from dataclasses import dataclass, field
from datetime import datetime, timedelta
import uuid
import json
import sys
import io
from mcp_forge.podman.containers import SecureContainerManager, ContainerConfig
from mcp_forge.security.resource_limits import ResourceLimits
from mcp_forge.execution.simple.executor import ExecutionResult
class KernelError(Exception):
"""Raised when kernel operations fail."""
pass
@dataclass
class KernelInfo:
"""Information about a running kernel."""
kernel_id: str
container_id: str
session_id: str
started_at: datetime
last_activity: datetime
namespace: Dict[str, Any] = field(default_factory=dict)
def to_dict(self) -> dict:
"""Convert to dictionary for JSON serialization."""
return {
"kernel_id": self.kernel_id,
"container_id": self.container_id,
"session_id": self.session_id,
"started_at": self.started_at.isoformat(),
"last_activity": self.last_activity.isoformat(),
}
class JupyterKernelManager:
"""
Manages IPython kernels in containers for stateful execution.
This is a simplified implementation that uses containers to maintain
state between executions. Each kernel runs in its own container and
maintains a Python namespace that persists across execute calls.
"""
def __init__(
self,
container_manager: SecureContainerManager,
image: str,
resource_limits: Optional[ResourceLimits]
):
"""
Initialize kernel manager.
Args:
container_manager: Container lifecycle manager
image: Docker/Podman image with Python/IPython
resource_limits: Default resource limits for kernels (None to disable) (None to disable)
"""
self.container_manager = container_manager
self.image = image
self.resource_limits = resource_limits
self.kernels: Dict[str, KernelInfo] = {}
def start_kernel(
self,
session_id: str,
volumes: Optional[Dict[str, dict]] = None
) -> str:
"""
Start a new kernel in a container.
Creates a long-running container with Python that will accept
and execute code, maintaining namespace state between executions.
Args:
session_id: Session ID this kernel belongs to
volumes: Optional volume mounts
Returns:
kernel_id: Unique identifier for the kernel
"""
kernel_id = f"kernel-{uuid.uuid4().hex[:16]}"
# Create container configuration for long-running kernel
# We use a shell that stays running so we can exec into it
config = ContainerConfig(
image=self.image,
command=["sleep", "infinity"], # Keep container running
resource_limits=self.resource_limits,
volumes=volumes or {}
)
# Create and start container
container_id = self.container_manager.create_container(
config,
session_id=session_id,
name=f"kernel-{kernel_id}"
)
self.container_manager.start_container(container_id)
# Register kernel
now = datetime.utcnow()
kernel_info = KernelInfo(
kernel_id=kernel_id,
container_id=container_id,
session_id=session_id,
started_at=now,
last_activity=now
)
self.kernels[kernel_id] = kernel_info
return kernel_id
def execute_code(
self,
kernel_id: str,
code: str,
timeout: int = 300
) -> ExecutionResult:
"""
Execute code in the kernel.
This is a simplified implementation that:
1. Validates kernel exists
2. Wraps code to capture output and maintain namespace
3. Executes in the kernel's container
4. Returns results
Args:
kernel_id: ID of kernel to execute in
code: Python code to execute
timeout: Maximum execution time
Returns:
ExecutionResult with output and status
Raises:
KernelError: If kernel not found or execution fails
"""
if kernel_id not in self.kernels:
raise KernelError(f"Kernel {kernel_id} not found")
kernel_info = self.kernels[kernel_id]
# Update activity
kernel_info.last_activity = datetime.utcnow()
# For simplified implementation, we execute code by creating
# a Python script that:
# 1. Loads namespace from kernel_info
# 2. Executes user code
# 3. Saves namespace back
# 4. Returns result as JSON
# Execute in container using Python
# In real implementation, this would use docker exec or similar
# For now, we simulate execution with proper stdout/stderr capture
import time
start_time = time.time()
try:
# Capture stdout and stderr
stdout_capture = io.StringIO()
stderr_capture = io.StringIO()
old_stdout = sys.stdout
old_stderr = sys.stderr
result_value = None
error = None
try:
# Redirect stdout/stderr
sys.stdout = stdout_capture
sys.stderr = stderr_capture
# Execute and update namespace
exec_globals = kernel_info.namespace.copy()
exec(code, exec_globals)
# Update kernel namespace
kernel_info.namespace.update(exec_globals)
# Try to get result from last expression
result_value = exec_globals.get('_', None)
except SyntaxError as e:
error = f"SyntaxError: {e.msg}"
stderr_capture.write(f"{error}\n")
except Exception as e:
error = f"{type(e).__name__}: {str(e)}"
stderr_capture.write(f"{error}\n")
finally:
# Restore stdout/stderr
sys.stdout = old_stdout
sys.stderr = old_stderr
# Get captured output
stdout = stdout_capture.getvalue()
stderr = stderr_capture.getvalue()
execution_time = time.time() - start_time
return ExecutionResult(
success=(error is None),
stdout=stdout,
stderr=stderr,
result=result_value,
execution_time=execution_time,
exit_code=0 if error is None else 1,
error=error
)
except Exception as e:
execution_time = time.time() - start_time
return ExecutionResult(
success=False,
stdout="",
stderr="",
result=None,
execution_time=execution_time,
exit_code=1,
error=f"Execution failed: {str(e)}"
)
def shutdown_kernel(self, kernel_id: str) -> None:
"""
Shutdown kernel and cleanup container.
Args:
kernel_id: ID of kernel to shutdown
Raises:
KernelError: If kernel not found
"""
if kernel_id not in self.kernels:
raise KernelError(f"Kernel {kernel_id} not found")
kernel_info = self.kernels[kernel_id]
# Stop and remove container
try:
self.container_manager.stop_container(kernel_info.container_id, timeout=10)
self.container_manager.remove_container(kernel_info.container_id)
except Exception as e:
# Log but don't fail - best effort cleanup
pass
# Remove from registry
del self.kernels[kernel_id]
def inspect_namespace(self, kernel_id: str) -> List[str]:
"""
Get list of variables in kernel namespace.
Args:
kernel_id: ID of kernel to inspect
Returns:
List of variable names (excluding private vars)
Raises:
KernelError: If kernel not found
"""
if kernel_id not in self.kernels:
raise KernelError(f"Kernel {kernel_id} not found")
kernel_info = self.kernels[kernel_id]
# Filter out private variables and builtins
variables = [
name for name in kernel_info.namespace.keys()
if not name.startswith('_') and name not in ['__builtins__']
]
return variables
def get_variable_info(
self,
kernel_id: str,
variable_name: str
) -> Dict[str, Any]:
"""
Get information about a variable.
Args:
kernel_id: ID of kernel
variable_name: Name of variable to inspect
Returns:
Dictionary with type, size, and repr info
Raises:
KernelError: If kernel or variable not found
"""
if kernel_id not in self.kernels:
raise KernelError(f"Kernel {kernel_id} not found")
kernel_info = self.kernels[kernel_id]
if variable_name not in kernel_info.namespace:
raise KernelError(f"Variable {variable_name} not found in kernel namespace")
value = kernel_info.namespace[variable_name]
info = {
"type": type(value).__name__,
"repr": repr(value)[:100], # Truncate long reprs
}
# Add size for sized objects
if hasattr(value, '__len__'):
try:
info["size"] = len(value)
except:
pass
# Add shape for array-like objects
if hasattr(value, 'shape'):
try:
info["shape"] = value.shape
except:
pass
return info
def restart_kernel(self, kernel_id: str) -> None:
"""
Restart kernel (reset namespace).
Args:
kernel_id: ID of kernel to restart
Raises:
KernelError: If kernel not found
"""
if kernel_id not in self.kernels:
raise KernelError(f"Kernel {kernel_id} not found")
# Clear namespace to reset state
kernel_info = self.kernels[kernel_id]
kernel_info.namespace.clear()
kernel_info.last_activity = datetime.utcnow()
def cleanup_idle_kernels(self, idle_timeout: timedelta) -> int:
"""
Cleanup kernels idle longer than timeout.
Args:
idle_timeout: Maximum idle time before cleanup
Returns:
Number of kernels cleaned up
"""
now = datetime.utcnow()
kernels_to_remove = []
for kernel_id, kernel_info in self.kernels.items():
idle_time = now - kernel_info.last_activity
if idle_time > idle_timeout:
kernels_to_remove.append(kernel_id)
# Shutdown idle kernels
for kernel_id in kernels_to_remove:
try:
self.shutdown_kernel(kernel_id)
except Exception:
# Best effort cleanup
pass
return len(kernels_to_remove)
def _wrap_code_with_namespace(self, code: str, namespace: Dict[str, Any]) -> str:
"""
Wrap code to load/save namespace.
This is a helper for the real implementation where code would be
executed in a container with namespace persistence.
Args:
code: User code to wrap
namespace: Current namespace state
Returns:
Wrapped code with namespace handling
"""
# In real implementation, this would serialize namespace,
# inject it into container execution, run code, and extract
# updated namespace.
# For this simplified version, we don't need the wrapping
# since we're executing directly in Python.
return code

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"""Session management for stateful execution."""
from typing import Dict, Optional, List, Any
from dataclasses import dataclass, field
from datetime import datetime, timedelta
from mcp_forge.execution.jupyter.kernel import JupyterKernelManager
from mcp_forge.config.schema import SessionConfig
from mcp_forge.security.audit import AuditLogger, AuditEventType, AuditSeverity
from mcp_forge.security.resource_limits import ResourceLimits
from mcp_forge.execution.simple.executor import ExecutionResult
class SessionError(Exception):
"""Raised when session operations fail."""
pass
@dataclass
class SessionState:
"""Documented state for a session."""
session_id: str
documented_variables: Dict[str, str] = field(default_factory=dict)
note: str = ""
last_updated: datetime = field(default_factory=datetime.utcnow)
all_variables: List[str] = field(default_factory=list)
introspection: Dict[str, dict] = field(default_factory=dict)
def to_dict(self) -> dict:
"""Convert to dictionary for JSON serialization."""
return {
"session_id": self.session_id,
"documented_variables": self.documented_variables,
"note": self.note,
"last_updated": self.last_updated.isoformat(),
"all_variables": self.all_variables,
"introspection": self.introspection
}
class Session:
"""Stateful execution session."""
def __init__(
self,
session_id: str,
kernel_id: str,
created_at: datetime,
resource_limits: ResourceLimits
):
"""
Initialize session.
Args:
session_id: Unique session identifier
kernel_id: ID of associated kernel
created_at: Session creation timestamp
resource_limits: Resource limits for this session
"""
self.session_id = session_id
self.kernel_id = kernel_id
self.created_at = created_at
self.last_activity = created_at
self.resource_limits = resource_limits
self.state = SessionState(session_id=session_id)
self.documented_variables: Dict[str, str] = {}
self.documentation_note: Optional[str] = None
def update_activity(self) -> None:
"""Update last activity timestamp."""
self.last_activity = datetime.utcnow()
def is_idle(self, timeout: timedelta) -> bool:
"""
Check if session is idle beyond timeout.
Args:
timeout: Maximum idle time
Returns:
True if session has been idle longer than timeout
"""
now = datetime.utcnow()
idle_time = now - self.last_activity
return idle_time > timeout
def to_dict(self) -> dict:
"""Convert to dictionary for serialization."""
return {
"session_id": self.session_id,
"kernel_id": self.kernel_id,
"created_at": self.created_at.isoformat(),
"last_activity": self.last_activity.isoformat(),
"state": self.state.to_dict()
}
class SessionManager:
"""Manages stateful execution sessions."""
def __init__(
self,
config: SessionConfig,
kernel_manager: JupyterKernelManager,
audit_logger: AuditLogger
):
"""
Initialize session manager.
Args:
config: Session configuration
kernel_manager: Kernel lifecycle manager
audit_logger: Audit logging instance
"""
self.config = config
self.kernel_manager = kernel_manager
self.audit_logger = audit_logger
self.sessions: Dict[str, Session] = {}
def create_session(
self,
session_id: str,
resource_limits: ResourceLimits,
volumes: Optional[Dict[str, dict]] = None
) -> Session:
"""
Create new stateful session.
Args:
session_id: Unique identifier for session
resource_limits: Resource limits for session
volumes: Optional volume mounts
Returns:
Created Session object
Raises:
SessionError: If session_id already exists
SessionError: If max concurrent sessions exceeded
"""
if session_id in self.sessions:
raise SessionError(f"Session {session_id} already exists")
# Check max concurrent limit
self._enforce_max_concurrent()
# Start kernel
kernel_id = self.kernel_manager.start_kernel(session_id, volumes=volumes)
# Create session
now = datetime.utcnow()
session = Session(
session_id=session_id,
kernel_id=kernel_id,
created_at=now,
resource_limits=resource_limits
)
self.sessions[session_id] = session
# Log session creation
self.audit_logger.log(
event_type=AuditEventType.SESSION_CREATE,
severity=AuditSeverity.INFO,
message=f"Session created: {session_id}",
session_id=session_id,
details={
"kernel_id": kernel_id,
"memory": resource_limits.memory_bytes,
"cpu_quota": resource_limits.cpu_quota
}
)
return session
def session_exists(self, session_id: str) -> bool:
"""
Check if session exists.
Args:
session_id: Session identifier
Returns:
True if session exists, False otherwise
"""
return session_id in self.sessions
def get_session(self, session_id: str) -> Session:
"""
Get session by ID.
Args:
session_id: Session identifier
Returns:
Session object
Raises:
SessionError: If session doesn't exist
"""
if session_id not in self.sessions:
raise SessionError(f"Session {session_id} not found")
return self.sessions[session_id]
async def document_variables(
self,
session_id: str,
variables: Dict[str, str],
note: Optional[str] = None,
clear: bool = False
) -> Dict:
"""
Document important variables in a session.
Args:
session_id: Session identifier
variables: Dict mapping variable names to descriptions
note: Optional general note about session state
clear: Whether to clear existing documentation first
Returns:
Result dict with success status and documented count
"""
session = self.get_session(session_id)
if clear:
session.documented_variables = {}
# Store variable documentation in session
if not hasattr(session, 'documented_variables'):
session.documented_variables = {}
session.documented_variables.update(variables)
if note:
session.documentation_note = note
return {
"success": True,
"documented_count": len(variables),
"total_documented": len(session.documented_variables)
}
def execute_in_session(
self,
session_id: str,
code: str,
timeout: int = 300
) -> ExecutionResult:
"""
Execute code in session kernel.
Args:
session_id: Session to execute in
code: Python code to execute
timeout: Maximum execution time
Returns:
ExecutionResult with output
Raises:
SessionError: If session doesn't exist
"""
session = self.get_session(session_id)
# Update activity
session.update_activity()
# Execute in kernel
result = self.kernel_manager.execute_code(
session.kernel_id,
code,
timeout=timeout
)
return result
def document_state(
self,
session_id: str,
variables: Dict[str, str],
note: str = "",
clear: bool = False
) -> None:
"""
Document important variables in session.
Updates session.state with variable descriptions and runs
introspection to capture current namespace state.
Args:
session_id: Session to document
variables: Dictionary of variable_name -> description
note: Optional note about session state
clear: If True, replace all documented variables; if False, merge
Raises:
SessionError: If session doesn't exist
"""
session = self.get_session(session_id)
# Update documented variables
if clear:
session.state.documented_variables = variables.copy()
else:
session.state.documented_variables.update(variables)
# Update note if provided
if note:
session.state.note = note
# Run introspection to get current namespace state
session.state.all_variables = self.kernel_manager.inspect_namespace(session.kernel_id)
# Get variable info for documented variables
session.state.introspection = {}
for var_name in variables.keys():
if var_name in session.state.all_variables:
try:
info = self.kernel_manager.get_variable_info(session.kernel_id, var_name)
session.state.introspection[var_name] = info
except Exception:
# Variable might not exist yet
pass
# Update timestamp
session.state.last_updated = datetime.utcnow()
session.update_activity()
def get_session_state(self, session_id: str) -> SessionState:
"""
Get documented state for session.
Args:
session_id: Session identifier
Returns:
SessionState object
Raises:
SessionError: If session doesn't exist
"""
session = self.get_session(session_id)
return session.state
def destroy_session(self, session_id: str) -> None:
"""
Destroy session and cleanup kernel.
Args:
session_id: Session to destroy
Raises:
SessionError: If session doesn't exist
"""
session = self.get_session(session_id)
# Shutdown kernel
try:
self.kernel_manager.shutdown_kernel(session.kernel_id)
except Exception as e:
# Log but continue with cleanup
self.audit_logger.log(
event_type=AuditEventType.SESSION_DESTROY,
severity=AuditSeverity.WARNING,
message=f"Error shutting down kernel for session {session_id}",
session_id=session_id,
error=str(e)
)
# Remove session
del self.sessions[session_id]
# Log destruction
self.audit_logger.log(
event_type=AuditEventType.SESSION_DESTROY,
severity=AuditSeverity.INFO,
message=f"Session destroyed: {session_id}",
session_id=session_id
)
def cleanup_idle_sessions(self) -> int:
"""
Cleanup sessions idle beyond configured timeout.
Returns:
Number of sessions cleaned up
"""
timeout = timedelta(seconds=self.config.idle_timeout)
sessions_to_remove = []
for session_id, session in self.sessions.items():
if session.is_idle(timeout):
sessions_to_remove.append(session_id)
# Destroy idle sessions
for session_id in sessions_to_remove:
try:
self.destroy_session(session_id)
except Exception:
# Best effort cleanup
pass
return len(sessions_to_remove)
def list_sessions(self) -> List[dict]:
"""
List all active sessions with metadata.
Returns:
List of session dictionaries
"""
return [session.to_dict() for session in self.sessions.values()]
def _enforce_max_concurrent(self) -> None:
"""
Enforce max concurrent sessions limit.
Raises:
SessionError: If at max concurrent sessions
"""
if len(self.sessions) >= self.config.max_concurrent:
raise SessionError(
f"Maximum concurrent sessions ({self.config.max_concurrent}) reached"
)

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"""Simple (stateless) execution backend."""
from .executor import CodeExecutor, ExecutionResult
from .backend import SimpleBackend
__all__ = ["CodeExecutor", "ExecutionResult", "SimpleBackend"]

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"""Simple (stateless) execution backend."""
from typing import Optional, Dict
import hashlib
from mcp_forge.config.schema import ForgeConfig
from mcp_forge.podman.containers import SecureContainerManager
from mcp_forge.security.audit import AuditLogger, AuditEventType, AuditSeverity
from mcp_forge.security.resource_limits import ResourceLimits, parse_memory_string
from mcp_forge.execution.simple.executor import CodeExecutor, ExecutionResult
class SimpleBackend:
"""Stateless code execution backend."""
def __init__(
self,
config: ForgeConfig,
container_manager: SecureContainerManager,
audit_logger: AuditLogger
):
"""
Initialize simple backend.
Args:
config: Forge configuration
container_manager: Container lifecycle manager
audit_logger: Audit logging instance
"""
self.config = config
self.container_manager = container_manager
self.audit_logger = audit_logger
def execute(
self,
code: str,
timeout: Optional[int] = None,
memory: Optional[str] = None,
cpu_quota: Optional[int] = None,
custom_image: Optional[str] = None,
volumes: Optional[Dict[str, dict]] = None,
injection_code: Optional[str] = None,
bridge_socket_path: Optional[str] = None
) -> ExecutionResult:
"""
Execute Python code in stateless container.
Each execution creates a fresh container with no persistent state.
Resource limits default to configuration values but can be overridden
within configured maximums.
Args:
code: Python code to execute
timeout: Max execution time in seconds (uses config default if None)
memory: Memory limit string (uses config default if None)
cpu_quota: CPU quota (uses config default if None)
custom_image: Custom image name (uses config default if None)
volumes: Volume mounts dict
injection_code: Optional MCP tool injection code to prepend
bridge_socket_path: Optional path to MCP bridge socket for mounting
Returns:
ExecutionResult with execution output and metadata
Raises:
ValueError: If limits exceed configured maximums
"""
# Use defaults from config if not specified
timeout = timeout if timeout is not None else self.config.execution.default_timeout
memory = memory if memory is not None else self.config.execution.default_memory
cpu_quota = cpu_quota if cpu_quota is not None else self.config.execution.default_cpu_quota
# Validate limits against maximums
self._validate_limits(timeout, memory, cpu_quota)
# Get image
image = self._get_image(custom_image)
# Create resource limits (or None if disabled)
resource_limits = None
if self.config.security.enforce_resource_limits:
resource_limits = ResourceLimits(
memory=memory,
cpu_quota=cpu_quota,
storage="1g", # Default storage quota
timeout=timeout
)
# Log execution (hash code, don't log actual content)
code_hash = hashlib.sha256(code.encode()).hexdigest()
self.audit_logger.log(
event_type=AuditEventType.EXECUTION_REQUEST,
severity=AuditSeverity.INFO,
message="Code execution requested",
details={
"code_hash": code_hash,
"image": image,
"timeout": timeout,
"memory": memory,
"cpu_quota": cpu_quota
}
)
# Create executor and execute
executor = CodeExecutor(
container_manager=self.container_manager,
image=image,
resource_limits=resource_limits
)
result = executor.execute(
code,
timeout=timeout,
injection_code=injection_code,
bridge_socket_path=bridge_socket_path
)
# Log result
self.audit_logger.log(
event_type=AuditEventType.EXECUTION_REQUEST,
severity=AuditSeverity.INFO,
message="Code execution completed",
details={
"code_hash": code_hash,
"success": result.success,
"execution_time": result.execution_time,
"exit_code": result.exit_code
}
)
return result
def _validate_limits(
self,
timeout: int,
memory: str,
cpu_quota: int
) -> None:
"""
Validate resource limits against configuration maximums.
Args:
timeout: Timeout in seconds
memory: Memory limit string
cpu_quota: CPU quota value
Raises:
ValueError: If any limit exceeds maximum
"""
# Validate timeout
if timeout > self.config.execution.max_timeout:
raise ValueError(
f"timeout {timeout}s exceeds maximum {self.config.execution.max_timeout}s"
)
# Validate memory
memory_bytes = parse_memory_string(memory)
max_memory_bytes = parse_memory_string(self.config.execution.max_memory)
if memory_bytes > max_memory_bytes:
raise ValueError(
f"memory {memory} exceeds maximum {self.config.execution.max_memory}"
)
# Validate CPU quota
if cpu_quota > self.config.execution.max_cpu_quota:
raise ValueError(
f"cpu_quota {cpu_quota} exceeds maximum {self.config.execution.max_cpu_quota}"
)
def _get_image(self, custom_image: Optional[str]) -> str:
"""
Get image name, defaulting to configured image.
Args:
custom_image: Optional custom image name
Returns:
Image name to use
"""
if custom_image is not None:
return custom_image
# Default to Python 3.11
return self.config.images.python_3_11

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@ -0,0 +1,222 @@
"""Code execution in isolated containers."""
from typing import Any, Optional
from dataclasses import dataclass, asdict
import json
import time
import textwrap
import uuid
from mcp_forge.podman.containers import SecureContainerManager, ContainerConfig
from mcp_forge.security.resource_limits import ResourceLimits
@dataclass
class ExecutionResult:
"""Result of code execution."""
success: bool
stdout: str
stderr: str
result: Optional[Any]
execution_time: float
exit_code: int
error: Optional[str] = None
def to_dict(self) -> dict:
"""Convert to dictionary for JSON serialization."""
return asdict(self)
class CodeExecutor:
"""Executes Python code in isolated containers."""
def __init__(
self,
container_manager: SecureContainerManager,
image: str,
resource_limits: ResourceLimits
):
self.container_manager = container_manager
self.image = image
self.resource_limits = resource_limits
def execute(
self,
code: str,
timeout: Optional[int] = None,
injection_code: Optional[str] = None,
bridge_socket_path: Optional[str] = None
) -> ExecutionResult:
"""
Execute Python code in a fresh container.
Process:
1. Create container with code
2. Start container
3. Wait for completion (with timeout)
4. Capture stdout/stderr
5. Extract result from last expression
6. Cleanup container
Args:
code: Python code to execute
timeout: Maximum execution time in seconds
injection_code: Optional MCP tool injection code to prepend
bridge_socket_path: Optional path to MCP bridge socket for mounting
Returns:
ExecutionResult with stdout, stderr, result, and timing
"""
start_time = time.time()
container_id = None
# Use provided timeout or default from resource limits
exec_timeout = timeout if timeout is not None else self.resource_limits.timeout
try:
# Prepare code wrapper (with injection if provided)
wrapped_code = self._prepare_code(code, injection_code=injection_code)
# Generate a session ID for this execution to register the container
import uuid
session_id = f"simple-exec-{uuid.uuid4().hex[:12]}"
# Set up volumes for MCP bridge socket if provided
volumes = {}
if bridge_socket_path:
volumes[bridge_socket_path] = {
"bind": bridge_socket_path,
"mode": "rw"
}
# Create container configuration
config = ContainerConfig(
image=self.image,
command=["python", "-c", wrapped_code],
resource_limits=self.resource_limits,
volumes=volumes if volumes else None
)
# Create and start container with session_id for proper registration
container_id = self.container_manager.create_container(config, session_id=session_id)
self.container_manager.start_container(container_id)
# Wait for completion
exit_code = self.container_manager.wait_for_container(
container_id,
timeout=exec_timeout
)
# Get logs
stdout, stderr = self.container_manager.get_container_logs(container_id)
# Parse output to extract result
result, error = self._parse_output(stdout)
execution_time = time.time() - start_time
return ExecutionResult(
success=(exit_code == 0 and error is None),
stdout=stdout,
stderr=stderr,
result=result,
execution_time=execution_time,
exit_code=exit_code,
error=error
)
except TimeoutError as e:
execution_time = time.time() - start_time
return ExecutionResult(
success=False,
stdout="",
stderr="",
result=None,
execution_time=execution_time,
exit_code=-1,
error=f"Execution timeout: {str(e)}"
)
finally:
# Cleanup container
if container_id is not None:
try:
self.container_manager.remove_container(container_id)
except Exception:
pass # Best effort cleanup
def _prepare_code(self, code: str, injection_code: Optional[str] = None) -> str:
"""
Wrap code to capture result and handle errors.
Wraps code in try/except and captures:
- Last expression result
- Exceptions with traceback
- Execution metadata
Args:
code: User code to execute
injection_code: Optional MCP tool injection code to prepend
Returns wrapped code that outputs JSON to stdout.
"""
# Prepend injection code if provided
if injection_code:
full_code = injection_code + "\n\n" + code
else:
full_code = code
# Escape the code for embedding in exec string
escaped_code = full_code.replace('\\', '\\\\').replace('"', '\\"').replace('\n', '\\n')
wrapper_template = '''
import sys
import json
import traceback
def __mcp_execute():
result = None
error = None
try:
# Execute user code
exec_globals = {}
exec("""%s""", exec_globals)
# Try to get result from last expression
result = exec_globals.get('_', None)
except SyntaxError as e:
error = f"SyntaxError: {e.msg} (line {e.lineno})"
except Exception as e:
error = f"{type(e).__name__}: {str(e)}"
# Output result as JSON
print(json.dumps({"result": result, "error": error}))
__mcp_execute()
'''
return wrapper_template % escaped_code
def _parse_output(self, stdout: str) -> tuple[Optional[Any], Optional[str]]:
"""
Parse execution output to extract result and error.
Returns:
(result, error_message)
"""
if not stdout:
return None, None
try:
# First line should be JSON output
lines = stdout.split('\n', 1)
json_line = lines[0]
data = json.loads(json_line)
return data.get("result"), data.get("error")
except (json.JSONDecodeError, ValueError):
# If can't parse JSON, treat entire output as result
return None, None

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"""MCP client integration."""
from mcp_forge.mcp.client import MCPClientWrapper
from mcp_forge.mcp.manager import MCPClientManager
from mcp_forge.mcp.bridge import ToolBridgeServer
from mcp_forge.mcp.injection import ToolInjectionGenerator
__all__ = ["MCPClientWrapper", "MCPClientManager", "ToolBridgeServer", "ToolInjectionGenerator"]

261
src/mcp_forge/mcp/bridge.py Normal file
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"""Tool Bridge Server for forwarding MCP tool calls from containers."""
import json
import asyncio
import logging
from typing import Optional
from pathlib import Path
from datetime import datetime
from ..security.audit import AuditEventType, AuditSeverity
logger = logging.getLogger(__name__)
class ToolBridgeServer:
"""
Async Unix socket server for MCP tool calls from containers.
Containers connect to this socket to call MCP tools.
Bridge forwards calls to actual MCP clients and returns results.
Runs as an asyncio task in the main event loop.
"""
def __init__(
self,
socket_path: Path,
client_manager, # MCPClientManager
audit_logger # AuditLogger
):
"""
Initialize bridge server.
Args:
socket_path: Path to Unix socket
client_manager: MCPClientManager instance
audit_logger: AuditLogger instance
"""
self.socket_path = Path(socket_path)
self.client_manager = client_manager
self.audit_logger = audit_logger
self.server: Optional[asyncio.Server] = None
self.running = False
self.server_task: Optional[asyncio.Task] = None
async def start(self) -> None:
"""
Start async bridge server.
Creates Unix socket and starts listening for connections.
Runs in the current event loop as a background task.
"""
if self.running:
logger.info("Bridge server already running")
return
logger.info("Starting async bridge server...")
# Remove existing socket if it exists
if self.socket_path.exists():
self.socket_path.unlink()
# Create async Unix socket server
self.server = await asyncio.start_unix_server(
self._handle_client,
path=str(self.socket_path)
)
# Make socket accessible to containers (chmod 666)
import os
os.chmod(str(self.socket_path), 0o666)
self.running = True
# Start serving in background task
self.server_task = asyncio.create_task(self._serve_forever())
logger.info(f"Bridge server listening on {self.socket_path}")
async def _serve_forever(self) -> None:
"""Keep server running until stopped."""
try:
async with self.server:
await self.server.serve_forever()
except asyncio.CancelledError:
logger.info("Bridge server task cancelled")
except Exception as e:
logger.error(f"Bridge server error: {e}")
def is_running(self) -> bool:
"""Check if bridge server is running."""
return self.running
async def stop(self) -> None:
"""Stop bridge server and cleanup socket."""
if not self.running:
return
logger.info("Stopping bridge server...")
self.running = False
# Cancel server task
if self.server_task:
self.server_task.cancel()
try:
await self.server_task
except asyncio.CancelledError:
pass
# Close server
if self.server:
self.server.close()
await self.server.wait_closed()
# Remove socket file
if self.socket_path.exists():
self.socket_path.unlink()
logger.info("Bridge server stopped")
async def _handle_client(
self,
reader: asyncio.StreamReader,
writer: asyncio.StreamWriter
) -> None:
"""
Handle single client connection (async).
Protocol:
1. Receive JSON: {"tool": "name", "params": {...}}
2. Validate request
3. Call tool via client manager
4. Send JSON response: {"success": true, "result": ...}
"""
addr = writer.get_extra_info('peername', 'unknown')
logger.info(f"[Bridge] Client connected from {addr}")
try:
# Receive request data
logger.info("[Bridge] Reading request...")
request_data = await reader.read()
logger.info(f"[Bridge] Received {len(request_data)} bytes")
# Parse JSON request
try:
request = json.loads(request_data.decode('utf-8'))
logger.info(f"[Bridge] Parsed request: tool={request.get('tool')}, params={list(request.get('params', {}).keys())}")
except json.JSONDecodeError as e:
logger.error(f"[Bridge] JSON decode error: {e}")
await self._send_error(writer, f"Invalid JSON: {e}")
return
# Validate request format
if "tool" not in request:
logger.warning("[Bridge] Missing 'tool' field in request")
await self._send_error(writer, "Missing 'tool' field in request")
return
tool_name = request["tool"]
params = request.get("params", {})
logger.info(f"[Bridge] Calling tool: {tool_name}")
# Log tool call (tool name only, not params)
self.audit_logger.log(
event_type=AuditEventType.MCP_TOOL_CALL,
severity=AuditSeverity.INFO,
message=f"Tool call: {tool_name}",
details={"tool": tool_name, "timestamp": datetime.utcnow().isoformat()}
)
# Call tool asynchronously
logger.info(f"[Bridge] About to call client_manager.call_tool for {tool_name}")
try:
logger.info(f"[Bridge] Calling tool {tool_name}...")
result = await self.client_manager.call_tool(tool_name, params)
logger.info(f"[Bridge] Tool {tool_name} returned: type={type(result)}")
logger.info("[Bridge] Sending result as-is")
# Send success response
# Convert result to JSON-serializable format
result = self._make_serializable(result)
response = {
"success": True,
"result": result
}
response_json = json.dumps(response)
logger.info(f"[Bridge] Sending response ({len(response_json)} bytes)")
writer.write(response_json.encode('utf-8'))
await writer.drain()
logger.info(f"[Bridge] Response sent for {tool_name}")
except Exception as e:
import traceback
error_details = f"{type(e).__name__}: {str(e)}\n{traceback.format_exc()}"
logger.error(f"[Bridge] Tool execution failed: {error_details}")
await self._send_error(writer, f"Tool execution failed: {type(e).__name__}: {str(e)}")
except Exception as e:
import traceback
logger.error(f"[Bridge] Request handling failed: {e}\n{traceback.format_exc()}")
await self._send_error(writer, f"Request handling failed: {e}")
finally:
logger.info("[Bridge] Closing connection")
writer.close()
await writer.wait_closed()
def _make_serializable(self, obj):
"""
Recursively convert objects to JSON-serializable format.
Handles Pydantic models, lists, dicts, and other objects.
"""
# Handle None, primitives
if obj is None or isinstance(obj, (str, int, float, bool)):
return obj
# Handle lists
if isinstance(obj, list):
return [self._make_serializable(item) for item in obj]
# Handle dicts
if isinstance(obj, dict):
return {key: self._make_serializable(value) for key, value in obj.items()}
# Handle Pydantic models (v2)
if hasattr(obj, 'model_dump'):
try:
dumped = obj.model_dump()
logger.debug(f"[Bridge] model_dump() returned: {dumped}")
return self._make_serializable(dumped)
except Exception as e:
logger.warning(f"[Bridge] model_dump() failed: {e}, trying dict()")
# Handle Pydantic models (v1)
if hasattr(obj, 'dict'):
try:
return self._make_serializable(obj.dict())
except Exception as e:
logger.warning(f"[Bridge] dict() failed: {e}")
# Handle objects with __dict__
if hasattr(obj, '__dict__'):
obj_dict = {k: v for k, v in obj.__dict__.items() if not k.startswith('_')}
return self._make_serializable(obj_dict)
# Fallback: convert to string
logger.warning(f"[Bridge] Falling back to str() for {type(obj)}")
return str(obj)
async def _send_error(self, writer: asyncio.StreamWriter, error: str) -> None:
"""Send error response to client."""
try:
response = {
"success": False,
"error": error
}
writer.write(json.dumps(response).encode('utf-8'))
await writer.drain()
except Exception as e:
logger.error(f"[Bridge] Failed to send error: {e}") # Connection may already be closed

220
src/mcp_forge/mcp/client.py Normal file
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"""MCP client wrapper using fastmcp."""
from fastmcp import Client
from fastmcp.client.transports import StdioTransport, SSETransport, StreamableHttpTransport
from typing import Dict, List, Optional, Any, Literal
import logging
import json
logger = logging.getLogger(__name__)
class MCPClientWrapper:
"""Wrapper for fastmcp Client connection."""
def __init__(
self,
name: str,
transport_type: Literal["stdio", "http", "sse"] = "stdio",
# For stdio
command: Optional[str] = None,
args: Optional[List[str]] = None,
env: Optional[Dict[str, str]] = None,
# For http/sse
url: Optional[str] = None,
headers: Optional[Dict[str, str]] = None
):
"""
Initialize MCP client wrapper.
Args:
name: Human-readable name for this client
transport_type: Type of transport ("stdio", "http", or "sse")
command: Command to execute (for stdio)
args: Arguments for command (for stdio)
env: Environment variables (for stdio)
url: URL endpoint (for http/sse)
headers: HTTP headers (for http/sse)
"""
self.name = name
self.transport_type = transport_type
# Create appropriate transport
if transport_type == "stdio":
if not command:
raise ValueError(f"command required for stdio transport (client: {name})")
self.command = command
self.args = args or []
self.env = env or {}
self.transport = StdioTransport(
command=command,
args=self.args,
env=self.env
)
elif transport_type == "http":
if not url:
raise ValueError(f"url required for http transport (client: {name})")
self.url = url
self.headers = headers or {}
self.transport = StreamableHttpTransport(
url=url,
headers=self.headers
)
elif transport_type == "sse":
if not url:
raise ValueError(f"url required for sse transport (client: {name})")
self.url = url
self.headers = headers or {}
self.transport = SSETransport(
url=url,
headers=self.headers
)
else:
raise ValueError(f"Unknown transport type: {transport_type}")
# Create fastmcp client
self._client = Client(self.transport)
self._connected = False
self._tools_cache: Optional[List[str]] = None
async def connect(self) -> None:
"""
Connect to MCP server.
Raises:
RuntimeError: If connection fails
"""
try:
# Enter the client context manager
await self._client.__aenter__()
self._connected = True
# Clear tools cache
self._tools_cache = None
except Exception as e:
self._connected = False
raise RuntimeError(f"Failed to connect to MCP server '{self.name}': {e}") from e
async def disconnect(self) -> None:
"""Disconnect from MCP server."""
if self._connected:
try:
await self._client.__aexit__(None, None, None)
finally:
self._connected = False
self._tools_cache = None
def is_connected(self) -> bool:
"""Check if client is connected."""
return self._connected
async def list_tools(self) -> List[str]:
"""
Get list of available tool names.
Returns:
List of tool names
Raises:
RuntimeError: If not connected
"""
if not self._connected:
raise RuntimeError(f"Client '{self.name}' is not connected")
# Use cached tools if available
if self._tools_cache is not None:
return self._tools_cache
# Fetch and cache tools
tools_result = await self._client.list_tools()
# tools_result can be either a list or an object with .tools attribute
if isinstance(tools_result, list):
self._tools_cache = [tool.name for tool in tools_result]
else:
self._tools_cache = [tool.name for tool in tools_result.tools]
return self._tools_cache
async def get_tool_schema(self, tool_name: str) -> dict:
"""
Get JSON schema for tool.
Args:
tool_name: Name of the tool
Returns:
JSON schema dict for tool
Raises:
RuntimeError: If not connected
KeyError: If tool not found
"""
if not self._connected:
raise RuntimeError(f"Client '{self.name}' is not connected")
tools_result = await self._client.list_tools()
# Handle both list and object with .tools attribute
tools_list = tools_result if isinstance(tools_result, list) else tools_result.tools
for tool in tools_list:
if tool.name == tool_name:
return tool.inputSchema
raise KeyError(f"Tool '{tool_name}' not found in server '{self.name}'")
async def call_tool(
self,
tool_name: str,
arguments: Dict[str, Any]
) -> Any:
"""
Call MCP tool with arguments.
Args:
tool_name: Name of the tool to call
arguments: Arguments dict for tool
Returns:
Tool result (automatically deserialized from .data)
Raises:
RuntimeError: If not connected or tool call fails
"""
if not self._connected:
raise RuntimeError(f"Client '{self.name}' is not connected")
try:
result = await self._client.call_tool(tool_name, arguments)
# Return structured data if available
if result.data is not None:
# Check if data is empty Root() objects (common with rag-mcp)
if isinstance(result.data, list) and result.data:
first = result.data[0]
type_name = type(first).__name__
# If data is empty Root objects, try content instead
if type_name == 'Root' and not first.__dict__:
logger.debug(f"[MCPClient] Tool {tool_name} returned empty Root objects, checking content")
if result.content:
for content in result.content:
if hasattr(content, 'text'):
# Parse JSON from text content
try:
return json.loads(content.text)
except json.JSONDecodeError:
# If not JSON, return as-is
return content.text
return None
# Return data as-is
return result.data
elif result.content:
# Fall back to text content
for content in result.content:
if hasattr(content, 'text'):
return content.text
return None
else:
return None
except Exception as e:
raise RuntimeError(f"Tool call failed for '{tool_name}': {e}") from e

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"""Tool Injection Generator for creating Python code to inject MCP tools."""
from typing import List, Tuple
class ToolInjectionGenerator:
"""Generates Python code to inject MCP tools into container namespace."""
def __init__(self, client_manager):
"""
Initialize generator.
Args:
client_manager: MCPClientManager instance
"""
self.client_manager = client_manager
async def generate_injection_code(
self,
tool_names: List[str],
bridge_socket_path: str = "/tmp/mcp-bridge.sock"
) -> str:
"""
Generate Python code that provides MCP tools as functions.
Generated code includes:
1. Bridge client to communicate with MCP bridge server
2. Wrapper function for each tool with proper signature
3. Docstrings from tool schemas
4. Type hints from tool schemas
Args:
tool_names: List of MCP tool names to inject
bridge_socket_path: Path to bridge socket in container
Returns:
Python code as string
"""
parts = []
# Add imports
parts.append(self._generate_imports())
parts.append("")
# Add bridge client
parts.append(self._generate_bridge_client(bridge_socket_path))
parts.append("")
# Add tool functions
for tool_name in tool_names:
schema = await self.client_manager.get_tool_schema(tool_name)
function_code = await self._generate_tool_function(tool_name, schema)
parts.append(function_code)
parts.append("")
return "\n".join(parts)
def _generate_imports(self) -> str:
"""Generate import statements."""
return """import socket
import json
from typing import Any"""
def _generate_bridge_client(self, socket_path: str) -> str:
"""Generate code for bridge client communication."""
return f'''def _mcp_call(tool_name: str, **kwargs) -> Any:
"""Internal: Call MCP tool via bridge."""
s = socket.socket(socket.AF_UNIX, socket.SOCK_STREAM)
s.connect('{socket_path}')
request = json.dumps({{'tool': tool_name, 'params': kwargs}})
s.sendall(request.encode('utf-8'))
s.shutdown(socket.SHUT_WR) # Signal we're done sending
# Receive response
response_data = b''
while True:
chunk = s.recv(4096)
if not chunk:
break
response_data += chunk
s.close()
response = json.loads(response_data.decode('utf-8'))
if not response.get('success'):
raise RuntimeError(f"Tool call failed: {{response.get('error')}}")
return response.get('result')'''
async def _generate_tool_function(
self,
tool_name: str,
tool_schema: dict
) -> str:
"""
Generate wrapper function for a single tool.
Includes:
- Function signature from schema parameters
- Type hints
- Docstring with description and parameters
- Call to _mcp_call()
"""
# Extract parameters from schema
params = self._extract_parameters(tool_schema)
# Build function signature
param_list = []
for param_name, type_hint, required, _ in params:
if required:
param_list.append(f"{param_name}: {type_hint}")
else:
param_list.append(f"{param_name}: {type_hint} = None")
signature = f"def {tool_name}({', '.join(param_list)})"
# Build docstring
description = tool_schema.get("description", f"Call {tool_name} tool")
docstring_lines = [f' """{description}']
if params:
docstring_lines.append("")
docstring_lines.append(" Args:")
for param_name, _, _, description in params:
if description:
docstring_lines.append(f" {param_name}: {description}")
else:
docstring_lines.append(f" {param_name}")
docstring_lines.append(' """')
docstring = "\n".join(docstring_lines)
# Build function body - only pass non-None parameters
param_names = [p[0] for p in params]
if param_names:
# Build kwargs dict, filtering out None values
body = f''' kwargs = {{{", ".join([f"'{p}': {p}" for p in param_names])}}}
kwargs = {{k: v for k, v in kwargs.items() if v is not None}}
return _mcp_call('{tool_name}', **kwargs)'''
else:
body = f" return _mcp_call('{tool_name}')"
# Combine parts
return f"{signature}:\n{docstring}\n{body}"
def _extract_parameters(self, schema: dict) -> List[Tuple[str, str, bool, str]]:
"""
Extract parameter definitions from tool schema.
Returns:
List of (name, type_hint, required, description) tuples
"""
properties = schema.get("properties", {})
required_fields = set(schema.get("required", []))
params = []
for param_name, param_schema in properties.items():
json_type = param_schema.get("type", "string")
type_hint = self._json_type_to_python(json_type)
required = param_name in required_fields
description = param_schema.get("description", "")
params.append((param_name, type_hint, required, description))
return params
def _json_type_to_python(self, json_type: str) -> str:
"""Convert JSON schema type to Python type hint."""
type_map = {
"string": "str",
"integer": "int",
"number": "float",
"boolean": "bool",
"array": "list",
"object": "dict",
}
return type_map.get(json_type, "Any")

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"""MCP Client Manager for managing multiple MCP server connections."""
from typing import Dict, List, Any
from .client import MCPClientWrapper
class MCPClientManager:
"""Manages multiple MCP client connections."""
def __init__(self, config: Dict[str, Dict[str, Any]]):
"""
Initialize MCP client manager.
Args:
config: Dictionary mapping client names to their configuration.
Each config should have: command, args, env (optional)
"""
self.config = config
self.clients: Dict[str, MCPClientWrapper] = {}
self._tool_to_client: Dict[str, str] = {}
self._initialized = False
async def initialize(self) -> None:
"""
Initialize all MCP clients from config.
Connects to each configured MCP server.
Builds tool name to client mapping.
Detects tool name collisions.
Raises:
ValueError: If tool name collision detected
RuntimeError: If connection fails
"""
# Create and connect all clients
for client_name, client_config in self.config.items():
transport_type = client_config.get("transport", "stdio")
if transport_type == "stdio":
# Stdio transport
command = client_config["command"]
args = client_config.get("args", [])
env = client_config.get("env")
client = MCPClientWrapper(
name=client_name,
transport_type="stdio",
command=command,
args=args,
env=env
)
elif transport_type in ("http", "sse"):
# HTTP/SSE transport
url = client_config["url"]
headers = client_config.get("headers", {})
client = MCPClientWrapper(
name=client_name,
transport_type=transport_type,
url=url,
headers=headers
)
else:
raise ValueError(f"Unknown transport type '{transport_type}' for client '{client_name}'")
# Connect to server
await client.connect()
# Store client
self.clients[client_name] = client
# Build tool-to-client mapping and detect collisions
await self._build_tool_mapping()
self._initialized = True
async def _build_tool_mapping(self) -> None:
"""
Build tool name to client name mapping.
Raises:
ValueError: If same tool name provided by multiple clients
"""
collisions: Dict[str, List[str]] = {}
for client_name, client in self.clients.items():
tools = await client.list_tools()
for tool_name in tools:
if tool_name in self._tool_to_client:
# Collision detected
if tool_name not in collisions:
collisions[tool_name] = [self._tool_to_client[tool_name]]
collisions[tool_name].append(client_name)
else:
self._tool_to_client[tool_name] = client_name
if collisions:
# Build error message
collision_details = []
for tool_name, client_names in collisions.items():
clients_str = ", ".join(client_names)
collision_details.append(f"'{tool_name}' provided by: {clients_str}")
error_msg = f"Tool name collision detected. {'; '.join(collision_details)}"
raise ValueError(error_msg)
def _check_initialized(self) -> None:
"""
Check if manager is initialized.
Raises:
RuntimeError: If manager not initialized
"""
if not self._initialized:
raise RuntimeError("Manager not initialized. Call initialize() first.")
async def get_client_for_tool(self, tool_name: str) -> MCPClientWrapper:
"""
Get client that provides given tool.
Args:
tool_name: Name of the tool
Returns:
MCPClientWrapper instance that provides the tool
Raises:
RuntimeError: If manager not initialized
KeyError: If tool not found
"""
self._check_initialized()
if tool_name not in self._tool_to_client:
raise KeyError(f"Tool '{tool_name}' not found")
client_name = self._tool_to_client[tool_name]
return self.clients[client_name]
async def list_all_tools(self) -> List[str]:
"""
Get list of all available tool names across all clients.
Returns:
List of tool names
Raises:
RuntimeError: If manager not initialized
"""
self._check_initialized()
return list(self._tool_to_client.keys())
async def get_tool_schema(self, tool_name: str) -> dict:
"""
Get schema for tool (finds correct client).
Args:
tool_name: Name of the tool
Returns:
Tool schema dictionary
Raises:
RuntimeError: If manager not initialized
KeyError: If tool not found
"""
self._check_initialized()
client = await self.get_client_for_tool(tool_name)
return await client.get_tool_schema(tool_name)
async def call_tool(
self,
tool_name: str,
arguments: Dict[str, Any]
) -> Any:
"""
Call tool (finds correct client).
Args:
tool_name: Name of the tool to call
arguments: Tool arguments
Returns:
Tool result
Raises:
RuntimeError: If manager not initialized or tool call fails
KeyError: If tool not found
"""
self._check_initialized()
client = await self.get_client_for_tool(tool_name)
return await client.call_tool(tool_name, arguments)
async def shutdown(self) -> None:
"""Disconnect all clients."""
for client in self.clients.values():
await client.disconnect()
self.clients.clear()
self._tool_to_client.clear()
self._initialized = False

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"""Podman integration module."""
from .client import PodmanClient, PodmanConnectionError
from .containers import ContainerConfig, SecureContainerManager
__all__ = [
"PodmanClient",
"PodmanConnectionError",
"ContainerConfig",
"SecureContainerManager",
]

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"""
Podman client wrapper with security validation.
Wraps Podman API with security validation and error handling.
All container operations are validated against security policy.
"""
import os
from pathlib import Path
from typing import Optional
from podman import PodmanClient as BasePodmanClient
from mcp_forge.security.allowlist import OperationValidator
from mcp_forge.security.audit import AuditLogger
class PodmanConnectionError(Exception):
"""Raised when connection to Podman fails."""
pass
class PodmanClient:
"""
Wrapper around Podman API with security validation.
All container operations are validated against security policy
before being sent to Podman. Provides lazy connection and
proper error handling.
"""
def __init__(
self,
socket_path: Path,
validator: OperationValidator,
audit_logger: AuditLogger
):
"""
Initialize Podman client wrapper.
Args:
socket_path: Path to Podman socket
validator: Operation validator for security checks
audit_logger: Audit logger for operation logging
"""
self.socket_path = Path(socket_path)
self.validator = validator
self.audit_logger = audit_logger
self._client: Optional[BasePodmanClient] = None
def connect(self) -> None:
"""
Connect to Podman via socket.
Raises:
PodmanConnectionError: If connection fails
"""
try:
# Verify socket exists and is accessible
self.verify_socket_access()
# Create Podman client with Unix socket
base_url = f"unix://{self.socket_path}"
self._client = BasePodmanClient(base_url=base_url)
# Test connection with ping (only if client supports it)
if hasattr(self._client, 'ping'):
self._client.ping()
except PodmanConnectionError:
# Re-raise our own exceptions
raise
except Exception as e:
raise PodmanConnectionError(
f"Failed to connect to Podman at {self.socket_path}: {e}"
) from e
def ping(self) -> bool:
"""
Test connection to Podman.
Returns:
True if connection is healthy
Raises:
PodmanConnectionError: If not connected or ping fails
"""
if self._client is None:
raise PodmanConnectionError("Not connected to Podman")
try:
result = self._client.ping()
return result == "OK" or result is True
except Exception as e:
raise PodmanConnectionError(f"Ping failed: {e}") from e
def disconnect(self) -> None:
"""Disconnect from Podman and cleanup."""
if self._client is not None:
try:
self._client.close()
except Exception:
pass # Ignore errors during cleanup
finally:
self._client = None
def verify_socket_access(self) -> None:
"""
Verify that socket exists and is accessible.
Raises:
PodmanConnectionError: If socket is not accessible
"""
if not self.socket_path.exists():
raise PodmanConnectionError(
f"Podman socket not found: {self.socket_path}"
)
if not os.access(self.socket_path, os.R_OK):
raise PodmanConnectionError(
f"Podman socket is not readable: {self.socket_path}"
)
def check_api_version(self) -> dict:
"""
Get Podman API version information.
Returns:
Dictionary with version information
Raises:
PodmanConnectionError: If not connected
"""
if self._client is None:
raise PodmanConnectionError("Not connected to Podman")
try:
return self._client.version()
except Exception as e:
raise PodmanConnectionError(
f"Failed to get API version: {e}"
) from e
@property
def client(self) -> BasePodmanClient:
"""
Get underlying Podman client (lazy connection).
Returns:
Connected Podman client
Raises:
PodmanConnectionError: If connection fails
"""
if self._client is None:
self.connect()
assert self._client is not None # Type narrowing for mypy
return self._client

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"""
Secure container management with security enforcement.
All container operations are validated against security policy
before being sent to Podman. Provides lifecycle management
with comprehensive audit logging.
"""
from typing import Optional, Dict, List
from datetime import datetime, timedelta
from pathlib import Path
from mcp_forge.podman.client import PodmanClient
from mcp_forge.security.allowlist import OperationValidator, SecurityError
from mcp_forge.security.audit import AuditLogger, AuditEventType, AuditSeverity
from mcp_forge.security.resource_limits import ResourceLimits
class ContainerConfig:
"""Container configuration with security defaults."""
def __init__(
self,
image: str,
command: Optional[List[str]] = None,
environment: Optional[Dict[str, str]] = None,
volumes: Optional[Dict[str, dict]] = None,
resource_limits: Optional[ResourceLimits] = None,
working_dir: Optional[str] = None,
user: str = "1000:1000"
):
"""
Initialize container configuration.
Args:
image: Container image to use
command: Command to run in container
environment: Environment variables
volumes: Volume mounts (host_path -> {bind, mode})
resource_limits: Resource limits to apply
working_dir: Working directory in container (None to use image default)
user: User to run as (UID:GID)
"""
self.image = image
self.command = command or []
self.environment = environment or {}
self.volumes = volumes or {}
self.resource_limits = resource_limits
self.working_dir = working_dir
self.user = user
def to_podman_params(self) -> dict:
"""
Convert to Podman container create parameters.
Ensures all security requirements are included:
- network_mode: none
- read_only: True
- security_opt: ["no-new-privileges"]
- resource limits
Returns:
Dictionary of parameters for Podman containers.create()
"""
params = {
"image": self.image,
"command": self.command if self.command else None,
"environment": self.environment,
"user": self.user,
# Security requirements
"network_mode": "none",
"read_only": True,
"security_opt": ["no-new-privileges"],
}
# Add working_dir only if explicitly set
if self.working_dir is not None:
params["working_dir"] = self.working_dir
# Add volumes if present
if self.volumes:
params["volumes"] = self.volumes
# Add resource limits if present
if self.resource_limits:
limit_params = self.resource_limits.to_podman_params()
params.update(limit_params)
# Disable swap to avoid cgroup swap.max issues on some systems
if "mem_limit" in params:
params["memswap_limit"] = -1 # Disable swap
return params
class SecureContainerManager:
"""Manages container lifecycle with security enforcement."""
def __init__(
self,
podman_client: PodmanClient,
validator: OperationValidator,
audit_logger: AuditLogger
):
"""
Initialize secure container manager.
Args:
podman_client: Podman client wrapper
validator: Operation validator for security checks
audit_logger: Audit logger for operation logging
"""
self.podman = podman_client
self.validator = validator
self.audit_logger = audit_logger
def create_container(
self,
config: ContainerConfig,
session_id: Optional[str] = None,
name: Optional[str] = None,
**extra_params
) -> str:
"""
Create a container with security validation.
Args:
config: Container configuration
session_id: Session ID for tracking
name: Optional container name
**extra_params: Additional parameters (checked for forbidden values)
Returns:
Container ID
Raises:
SecurityError: If configuration violates security policy
"""
# Convert config to Podman parameters
params = config.to_podman_params()
# Add session label if provided
labels = {}
if session_id:
labels["mcp-forge.session"] = session_id
if labels:
params["labels"] = labels
if name:
params["name"] = name
# Merge any extra parameters (will be validated)
params.update(extra_params)
# Validate against security policy
try:
# Extract image from params for validation
self.validator.validate_container_create(
image=config.image,
params=params,
session_id=session_id
)
except SecurityError as e:
# Log security violation
self.audit_logger.log_security_violation(
operation="container_create",
reason=str(e),
session_id=session_id
)
raise
# Create container
try:
container = self.podman.client.containers.create(**params)
container_id = container.id
# Register with validator
if session_id:
self.validator.register_session_container(container_id)
# Log successful creation
self.audit_logger.log_container_operation(
operation="create",
container_id=container_id,
image=config.image,
session_id=session_id,
details={
"name": name,
"command": config.command
}
)
return container_id
except Exception as e:
self.audit_logger.log(
event_type=AuditEventType.CONTAINER_CREATE,
severity=AuditSeverity.ERROR,
message=f"Container creation failed: {e}",
details={
"image": config.image,
"session_id": session_id,
"error": str(e)
}
)
raise
def start_container(self, container_id: str) -> None:
"""
Start a container.
Args:
container_id: Container ID to start
Raises:
SecurityError: If container is not a session container
"""
# Verify container is registered (security check)
if container_id not in self.validator.session_containers:
self.audit_logger.log_security_violation(
operation="container_start",
reason=f"Attempted to start unregistered container: {container_id}"
)
raise SecurityError(
f"Container {container_id} is not a registered session container"
)
try:
container = self.podman.client.containers.get(container_id)
container.start()
self.audit_logger.log_container_operation(
operation="start",
container_id=container_id,
image="" # Not available without extra lookup
)
except Exception as e:
self.audit_logger.log(
event_type=AuditEventType.CONTAINER_START,
severity=AuditSeverity.ERROR,
message=f"Container start failed: {e}",
details={"container_id": container_id, "error": str(e)}
)
raise
def stop_container(
self,
container_id: str,
timeout: int = 10
) -> None:
"""
Stop a container.
Args:
container_id: Container ID to stop
timeout: Timeout in seconds
"""
# Verify container is registered
if container_id not in self.validator.session_containers:
self.audit_logger.log_security_violation(
operation="container_stop",
reason=f"Attempted to stop unregistered container: {container_id}"
)
raise SecurityError(
f"Container {container_id} is not a registered session container"
)
try:
container = self.podman.client.containers.get(container_id)
container.stop(timeout=timeout)
self.audit_logger.log_container_operation(
operation="stop",
container_id=container_id,
image="",
details={"timeout": timeout}
)
except Exception as e:
self.audit_logger.log(
event_type=AuditEventType.CONTAINER_STOP,
severity=AuditSeverity.ERROR,
message=f"Container stop failed: {e}",
details={"container_id": container_id, "error": str(e)}
)
raise
def remove_container(
self,
container_id: str,
force: bool = False
) -> None:
"""
Remove a container.
Args:
container_id: Container ID to remove
force: Force removal even if running
"""
# Verify container is registered
if container_id not in self.validator.session_containers:
self.audit_logger.log_security_violation(
operation="container_remove",
reason=f"Attempted to remove unregistered container: {container_id}"
)
raise SecurityError(
f"Container {container_id} is not a registered session container"
)
try:
container = self.podman.client.containers.get(container_id)
container.remove(force=force)
# Unregister from validator
self.validator.unregister_session_container(container_id)
self.audit_logger.log_container_operation(
operation="remove",
container_id=container_id,
image="",
details={"force": force}
)
except Exception as e:
self.audit_logger.log(
event_type=AuditEventType.CONTAINER_REMOVE,
severity=AuditSeverity.ERROR,
message=f"Container removal failed: {e}",
details={"container_id": container_id, "error": str(e)}
)
raise
def get_container_logs(
self,
container_id: str,
tail: int = 100
) -> tuple[str, str]:
"""
Get container stdout and stderr logs.
Args:
container_id: Container ID
tail: Number of lines to retrieve
Returns:
(stdout, stderr) as strings
"""
if container_id not in self.validator.session_containers:
raise SecurityError(
f"Container {container_id} is not a registered session container"
)
try:
container = self.podman.client.containers.get(container_id)
logs = container.logs(tail=tail, stdout=True, stderr=True)
# Podman logs returns a generator of frames, need to consume it
if hasattr(logs, '__iter__') and not isinstance(logs, (str, bytes)):
# It's a generator/iterator, consume it
logs_bytes = b''.join(logs)
logs_str = logs_bytes.decode('utf-8', errors='replace')
elif isinstance(logs, bytes):
logs_str = logs.decode('utf-8', errors='replace')
else:
logs_str = str(logs)
# For simplicity, return all logs in stdout (Podman combines them)
return logs_str, ""
except Exception as e:
self.audit_logger.log(
event_type=AuditEventType.EXECUTION_REQUEST,
severity=AuditSeverity.ERROR,
message=f"Failed to get container logs: {e}",
details={"container_id": container_id, "error": str(e)}
)
raise
def wait_for_container(
self,
container_id: str,
timeout: int = 300
) -> int:
"""
Wait for container to exit.
Args:
container_id: Container ID
timeout: Timeout in seconds
Returns:
Exit code
Raises:
TimeoutError: If container doesn't exit within timeout
"""
if container_id not in self.validator.session_containers:
raise SecurityError(
f"Container {container_id} is not a registered session container"
)
try:
container = self.podman.client.containers.get(container_id)
result = container.wait(timeout=timeout)
# Extract exit code from result
if isinstance(result, dict):
exit_code = result.get("StatusCode", 0)
else:
exit_code = result
return exit_code
except Exception as e:
self.audit_logger.log(
event_type=AuditEventType.EXECUTION_REQUEST,
severity=AuditSeverity.ERROR,
message=f"Failed to wait for container: {e}",
details={"container_id": container_id, "error": str(e)}
)
raise
def cleanup_old_containers(
self,
max_age: timedelta = timedelta(hours=24)
) -> int:
"""
Cleanup containers older than max_age.
Args:
max_age: Maximum age for containers
Returns:
Number of containers removed
"""
try:
# Get all containers with mcp-forge.session label
containers = self.podman.client.containers.list(
all=True,
filters={"label": ["mcp-forge.session"]}
)
removed_count = 0
now = datetime.now()
for container in containers:
# Get creation time
created_str = container.attrs.get("Created", "")
if not created_str:
continue
# Parse ISO format timestamp
try:
# Remove fractional seconds and timezone for parsing
created_str = created_str.split('.')[0]
created = datetime.fromisoformat(created_str.replace('Z', ''))
except (ValueError, AttributeError):
continue
age = now - created
if age > max_age:
try:
container.remove(force=True)
removed_count += 1
self.audit_logger.log(
event_type=AuditEventType.CONTAINER_REMOVE,
severity=AuditSeverity.INFO,
message=f"Cleaned up old container: {container.id}",
details={
"container_id": container.id,
"age_hours": age.total_seconds() / 3600
}
)
except Exception as e:
self.audit_logger.log(
event_type=AuditEventType.CONTAINER_REMOVE,
severity=AuditSeverity.WARNING,
message=f"Failed to remove old container: {e}",
details={"container_id": container.id, "error": str(e)}
)
return removed_count
except Exception as e:
self.audit_logger.log(
event_type=AuditEventType.CONTAINER_REMOVE,
severity=AuditSeverity.ERROR,
message=f"Cleanup failed: {e}",
details={"error": str(e)}
)
raise

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"""Security module for resource validation and enforcement."""
from .resource_limits import (
parse_memory_string,
parse_cpu_quota,
parse_storage_string,
ResourceLimits,
)
from .allowlist import (
SecurityError,
OperationValidator,
)
from .audit import (
AuditEventType,
AuditSeverity,
AuditLogger,
)
__all__ = [
"parse_memory_string",
"parse_cpu_quota",
"parse_storage_string",
"ResourceLimits",
"SecurityError",
"OperationValidator",
"AuditEventType",
"AuditSeverity",
"AuditLogger",
]

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"""
Podman operation allowlist and security policy enforcement.
Defines and enforces allowed Podman operations with parameter validation.
Prevents privilege escalation and unauthorized resource access.
"""
from typing import Set, Optional, Dict, Any
from mcp_forge.config.schema import SecurityConfig
import fnmatch
class SecurityError(Exception):
"""Raised when security policy is violated."""
pass
# Allowed container images with wildcard support
ALLOWED_IMAGES = [
"python:3.11*",
"python:3.12*",
"jupyter/*",
"mcp-forge/*", # Legacy/custom images
]
# Parameters that are forbidden in container creation
FORBIDDEN_CONTAINER_PARAMS = [
"privileged",
"cap_add",
"devices",
"pid_mode",
"ipc_mode",
]
# Required parameters that must be set with specific values
REQUIRED_CONTAINER_PARAMS = {
"network_mode": "none",
"read_only": True,
"security_opt": ["no-new-privileges"],
"user": "1000:1000",
}
# Allowed volume mount patterns (with {session_id} placeholder)
ALLOWED_VOLUME_PATTERNS = [
"/mcp-forge/sessions/{session_id}/*",
"/mcp-forge/shared/readonly/*",
"/mcp-forge/uploads/{session_id}/*",
"/tmp/mcp-forge-bridge.sock", # MCP tool bridge socket
]
# Paths that must never be mounted
FORBIDDEN_MOUNT_PATHS = [
"/",
"/etc",
"/var/run/docker.sock",
"/var/run/podman/podman.sock",
"/sys",
"/proc",
]
class OperationValidator:
"""Validates Podman operations against security policy."""
def __init__(self, config: SecurityConfig):
"""
Initialize operation validator.
Args:
config: Security configuration
"""
self.config = config
self.session_containers: Set[str] = set()
def validate_container_create(
self,
image: str,
params: Dict[str, Any],
session_id: Optional[str] = None
) -> None:
"""
Validate container creation parameters against security policy.
Checks:
- Image is in allowlist
- No forbidden parameters present
- All required parameters set correctly
- Volume mounts are valid (if present)
Args:
image: Container image name
params: Container creation parameters
session_id: Optional session ID for volume validation
Raises:
SecurityError: If any security policy is violated
"""
# Validate image
self.validate_image_name(image)
# Check for forbidden parameters
for forbidden_param in FORBIDDEN_CONTAINER_PARAMS:
if forbidden_param in params:
raise SecurityError(
f"Forbidden parameter '{forbidden_param}' in container creation"
)
# Check required parameters
for required_param, required_value in REQUIRED_CONTAINER_PARAMS.items():
if required_param not in params:
raise SecurityError(
f"Required parameter '{required_param}' missing. "
f"Must be set to: {required_value}"
)
# Validate the value matches requirement
actual_value = params[required_param]
if actual_value != required_value:
raise SecurityError(
f"Parameter '{required_param}' must be {required_value}, "
f"got: {actual_value}"
)
# Validate volume mounts if present
if "volumes" in params and session_id:
for volume_spec in params["volumes"]:
# Volume specs can be in various formats, extract host path
# Simplified: assume it's a dict with 'bind' key or string "host:container"
if isinstance(volume_spec, dict):
host_path = volume_spec.get("bind", {}).get("source", "")
elif isinstance(volume_spec, str) and ":" in volume_spec:
host_path = volume_spec.split(":")[0]
else:
host_path = str(volume_spec)
if host_path:
self.validate_volume_mount(host_path, session_id)
def validate_container_start(self, container_id: str) -> None:
"""
Validate container start - must be session container.
Args:
container_id: Container ID to start
Raises:
SecurityError: If container is not a registered session container
"""
if container_id not in self.session_containers:
raise SecurityError(
f"Container '{container_id}' is not a registered session container"
)
def validate_container_stop(self, container_id: str) -> None:
"""
Validate container stop - must be session container.
Args:
container_id: Container ID to stop
Raises:
SecurityError: If container is not a registered session container
"""
if container_id not in self.session_containers:
raise SecurityError(
f"Container '{container_id}' is not a registered session container"
)
def validate_container_remove(self, container_id: str) -> None:
"""
Validate container remove - must be session container.
Args:
container_id: Container ID to remove
Raises:
SecurityError: If container is not a registered session container
"""
if container_id not in self.session_containers:
raise SecurityError(
f"Container '{container_id}' is not a registered session container"
)
def validate_volume_mount(self, mount_path: str, session_id: str) -> None:
"""
Validate volume mount path against allowlist patterns.
Checks:
- Path is not in forbidden paths
- Path matches one of the allowed patterns
- Session ID in path matches provided session_id
Args:
mount_path: Host path to mount
session_id: Session ID for path validation
Raises:
SecurityError: If mount path is forbidden or not in allowlist
"""
# Check forbidden paths
for forbidden_path in FORBIDDEN_MOUNT_PATHS:
if mount_path == forbidden_path or mount_path.startswith(forbidden_path + "/"):
raise SecurityError(
f"Mount path '{mount_path}' is forbidden (matches '{forbidden_path}')"
)
# Check against allowed patterns
allowed = False
for pattern in ALLOWED_VOLUME_PATTERNS:
# Substitute session_id in pattern
pattern_resolved = pattern.replace("{session_id}", session_id)
# Convert pattern to fnmatch format (already uses *)
if fnmatch.fnmatch(mount_path, pattern_resolved):
allowed = True
break
if not allowed:
raise SecurityError(
f"Mount path '{mount_path}' does not match any allowed pattern. "
f"Session ID: {session_id}"
)
# Additional check: if path contains session directory, verify it matches
if "/sessions/" in mount_path or "/uploads/" in mount_path:
# Extract session from path
parts = mount_path.split("/")
try:
if "sessions" in parts:
idx = parts.index("sessions")
path_session = parts[idx + 1]
elif "uploads" in parts:
idx = parts.index("uploads")
path_session = parts[idx + 1]
else:
return # No session in path
if path_session != session_id:
raise SecurityError(
f"Session ID in path ('{path_session}') does not match "
f"provided session ID ('{session_id}')"
)
except (IndexError, ValueError):
pass # Path structure doesn't match expected format
def validate_image_name(self, image: str) -> None:
"""
Validate image name against allowlist.
Supports wildcard patterns (e.g., "mcp-forge/custom:*").
Args:
image: Image name to validate
Raises:
SecurityError: If image is not in allowlist
"""
for allowed_image in ALLOWED_IMAGES:
if fnmatch.fnmatch(image, allowed_image):
return
raise SecurityError(
f"Image '{image}' is not in allowlist. "
f"Allowed images: {', '.join(ALLOWED_IMAGES)}"
)
def register_session_container(self, container_id: str) -> None:
"""
Register container as belonging to a session.
Args:
container_id: Container ID to register
"""
self.session_containers.add(container_id)
def unregister_session_container(self, container_id: str) -> None:
"""
Unregister session container.
Args:
container_id: Container ID to unregister
"""
self.session_containers.discard(container_id)

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"""
Audit logger for security-relevant operations.
Provides structured JSON logging of all security-relevant operations.
Thread-safe and includes automatic log rotation support.
"""
import json
import threading
from datetime import datetime
from enum import Enum
from pathlib import Path
from typing import Any, Optional, Dict
class AuditEventType(Enum):
"""Types of auditable events."""
CONTAINER_CREATE = "container.create"
CONTAINER_START = "container.start"
CONTAINER_STOP = "container.stop"
CONTAINER_REMOVE = "container.remove"
EXECUTION_REQUEST = "execution.request"
SECURITY_VIOLATION = "security.violation"
BUILD_REQUEST = "build.request"
BUILD_COMPLETE = "build.complete"
SESSION_CREATE = "session.create"
SESSION_DESTROY = "session.destroy"
IMAGE_BUILD_START = "image.build.start"
IMAGE_BUILD_SUCCESS = "image.build.success"
IMAGE_BUILD_FAILURE = "image.build.failure"
MCP_TOOL_CALL = "mcp.tool.call"
class AuditSeverity(Enum):
"""Severity levels for audit events."""
INFO = "info"
WARNING = "warning"
ERROR = "error"
CRITICAL = "critical"
class AuditLogger:
"""
Thread-safe structured audit logger.
Logs security-relevant events to JSON Lines format for easy parsing
and analysis. All operations are thread-safe using a lock.
"""
def __init__(self, log_path: Path):
"""
Initialize audit logger.
Args:
log_path: Path to audit log file
"""
self.log_path = Path(log_path)
self._lock = threading.Lock()
self._ensure_log_file()
def log(
self,
event_type: AuditEventType,
severity: AuditSeverity,
message: str,
session_id: Optional[str] = None,
user_id: Optional[str] = None,
details: Optional[Dict[str, Any]] = None,
error: Optional[str] = None
) -> None:
"""
Log an audit event.
Args:
event_type: Type of event being logged
severity: Severity level of the event
message: Human-readable message describing the event
session_id: Optional session ID associated with event
user_id: Optional user ID associated with event
details: Optional dictionary of additional details
error: Optional error message if event represents an error
Note:
All log entries are JSON objects, one per line.
Timestamps are in ISO 8601 format.
No PII (code content, tokens, file content) should be logged.
"""
from datetime import timezone
entry = {
"timestamp": datetime.now(timezone.utc).isoformat(),
"event_type": event_type.value,
"severity": severity.value,
"message": message,
}
if session_id is not None:
entry["session_id"] = session_id
if user_id is not None:
entry["user_id"] = user_id
if details is not None:
entry["details"] = details
if error is not None:
entry["error"] = error
self._write_log_entry(entry)
def log_container_operation(
self,
operation: str,
container_id: str,
image: str,
session_id: Optional[str] = None,
user_id: Optional[str] = None,
details: Optional[Dict[str, Any]] = None,
error: Optional[str] = None
) -> None:
"""
Log a container operation with standard fields.
Args:
operation: Operation type (create, start, stop, remove)
container_id: Container ID
image: Container image name
session_id: Optional session ID
user_id: Optional user ID
details: Optional additional details
error: Optional error message
"""
# Map operation to event type
event_type_map = {
"create": AuditEventType.CONTAINER_CREATE,
"start": AuditEventType.CONTAINER_START,
"stop": AuditEventType.CONTAINER_STOP,
"remove": AuditEventType.CONTAINER_REMOVE,
}
event_type = event_type_map.get(
operation,
AuditEventType.CONTAINER_CREATE
)
# Determine severity
severity = AuditSeverity.ERROR if error else AuditSeverity.INFO
# Build entry with container fields at top level
from datetime import timezone
entry = {
"timestamp": datetime.now(timezone.utc).isoformat(),
"event_type": event_type.value,
"severity": severity.value,
"message": f"Container {operation}: {container_id}",
"container_id": container_id,
"image": image,
}
if session_id is not None:
entry["session_id"] = session_id
if user_id is not None:
entry["user_id"] = user_id
if details:
entry["details"] = details
if error is not None:
entry["error"] = error
self._write_log_entry(entry)
def log_security_violation(
self,
operation: str,
reason: str,
session_id: Optional[str] = None
) -> None:
"""
Log a security violation at CRITICAL severity.
Args:
operation: Operation that was attempted
reason: Reason the operation was blocked
session_id: Optional session ID
"""
from datetime import timezone
entry = {
"timestamp": datetime.now(timezone.utc).isoformat(),
"event_type": AuditEventType.SECURITY_VIOLATION.value,
"severity": AuditSeverity.CRITICAL.value,
"message": f"Security violation: {operation}",
"operation": operation,
"reason": reason,
}
if session_id is not None:
entry["session_id"] = session_id
self._write_log_entry(entry)
def _ensure_log_file(self) -> None:
"""Ensure log file and directory exist."""
# Create parent directories if needed
self.log_path.parent.mkdir(parents=True, exist_ok=True)
# Create log file if it doesn't exist
if not self.log_path.exists():
self.log_path.touch()
def _write_log_entry(self, entry: Dict[str, Any]) -> None:
"""
Thread-safe write of log entry.
Args:
entry: Dictionary to write as JSON line
"""
with self._lock:
with open(self.log_path, "a") as f:
json.dump(entry, f)
f.write("\n")

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"""
Resource limit parser and validator.
Parses and validates resource limit strings (memory, CPU, storage).
All values must be positive and within reasonable limits.
"""
import re
from typing import Dict, Any
def parse_memory_string(memory: str) -> int:
"""
Parse memory string to bytes.
Supports: k, m, g suffixes (case-insensitive)
Examples: "512m" 536870912, "2g" 2147483648
Args:
memory: Memory string with suffix (e.g., "512m", "2g", "1024k")
Returns:
Memory in bytes
Raises:
ValueError: If format is invalid or value is <= 0
"""
memory = memory.strip()
# Pattern: optional sign, number (int or float), suffix (k/m/g)
pattern = r'^(-?\d+(?:\.\d+)?)\s*([kmgKMG])$'
match = re.match(pattern, memory)
if not match:
raise ValueError(
f"Invalid memory format: '{memory}'. "
f"Expected format: <number><k|m|g> (e.g., '512m', '2g')"
)
value_str, suffix = match.groups()
value = float(value_str)
if value <= 0:
raise ValueError(
f"Memory value must be positive, got: {value}"
)
# Convert to bytes
suffix_lower = suffix.lower()
multipliers = {
'k': 1024,
'm': 1024 * 1024,
'g': 1024 * 1024 * 1024,
}
bytes_value = int(value * multipliers[suffix_lower])
return bytes_value
def parse_cpu_quota(cpu_quota: int) -> int:
"""
Validate CPU quota value.
CPU quota is in microseconds per 100ms period.
100000 = 100% of one CPU core
Args:
cpu_quota: CPU quota in microseconds (e.g., 50000 for 50% of one core)
Returns:
Validated CPU quota value
Raises:
ValueError: If quota <= 0 or > 1000000 (10 cores max)
"""
if cpu_quota <= 0:
raise ValueError(
f"CPU quota must be positive, got: {cpu_quota}"
)
# Maximum of 10 cores (1000000 microseconds)
if cpu_quota > 1000000:
raise ValueError(
f"CPU quota exceeds maximum of 1000000 (10 cores), got: {cpu_quota}"
)
return cpu_quota
def parse_storage_string(storage: str) -> int:
"""
Parse storage string to bytes (same as memory).
Args:
storage: Storage string with suffix (e.g., "1g", "512m")
Returns:
Storage in bytes
Raises:
ValueError: If format is invalid or value is <= 0
"""
return parse_memory_string(storage)
class ResourceLimits:
"""
Resource limits with validation.
Encapsulates memory, storage, CPU, and timeout limits with validation.
Provides conversion to Podman container parameters.
"""
def __init__(
self,
memory: str,
storage: str,
cpu_quota: int,
timeout: int = 300
):
"""
Initialize resource limits with validation.
Args:
memory: Memory limit string (e.g., "512m", "2g")
storage: Storage limit string (e.g., "1g", "10g")
cpu_quota: CPU quota in microseconds per 100ms period
timeout: Execution timeout in seconds (default: 300)
Raises:
ValueError: If any limit is invalid
"""
self.memory_bytes = parse_memory_string(memory)
self.storage_bytes = parse_storage_string(storage)
self.cpu_quota = parse_cpu_quota(cpu_quota)
self.timeout = timeout
def to_podman_params(self) -> Dict[str, Any]:
"""
Convert to Podman container create parameters.
Returns:
Dictionary of parameters suitable for Podman container creation
"""
return {
"mem_limit": str(self.memory_bytes), # Podman expects string
"cpu_quota": self.cpu_quota
# Note: storage_bytes tracked internally but not passed to Podman (not supported)
}

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"""MCP Forge Server - MCP Tools and Resources."""
from .resources import ResourceHandler
from .server import ForgeServer
__all__ = ["ResourceHandler", "ForgeServer"]

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"""MCP resource handlers for discovery and state."""
import json
import re
from typing import Tuple, Dict, Any
from mcp.types import TextResourceContents
class ResourceHandler:
"""Handles MCP resource requests."""
def __init__(
self,
client_manager,
session_manager,
environment_builder,
config
):
"""Initialize resource handler with dependencies.
Args:
client_manager: MCPClientManager instance for tool discovery
session_manager: SessionManager instance for session state
environment_builder: EnvironmentBuilder instance for environments
config: ForgeConfig instance for configuration info
"""
self.client_manager = client_manager
self.session_manager = session_manager
self.environment_builder = environment_builder
self.config = config
async def handle_resource(self, uri: str) -> TextResourceContents:
"""Handle resource request based on URI.
Supported URIs:
- tools/available
- sessions/{id}/state
- sessions/{id}/variables
- environments/list
- environment/info
Args:
uri: Resource URI to handle
Returns:
TextResourceContents with JSON content
Raises:
KeyError: If resource not found or session doesn't exist
"""
resource_type, params = self._parse_uri(uri)
if resource_type == "tools_available":
return await self._handle_tools_available()
elif resource_type == "session_state":
return await self._handle_session_state(params["session_id"])
elif resource_type == "session_variables":
return await self._handle_session_variables(params["session_id"])
elif resource_type == "sessions_list":
return await self._handle_sessions_list()
elif resource_type == "environments_list":
return await self._handle_environments_list()
elif resource_type == "environment_info":
return await self._handle_environment_info()
else:
raise ValueError(f"Unknown resource URI: {uri}")
async def _handle_tools_available(self) -> TextResourceContents:
"""Return list of available MCP tools."""
tools = await self.client_manager.list_all_tools()
content = json.dumps({"tools": tools})
return TextResourceContents(
uri="mcp://forge/tools/available",
mimeType="application/json",
text=content
)
async def _handle_session_state(self, session_id: str) -> TextResourceContents:
"""Return documented state for session.
Args:
session_id: ID of session to get state for
Returns:
TextResourceContents with session state JSON
Raises:
KeyError: If session doesn't exist
"""
state = self.session_manager.get_session_state(session_id)
content = json.dumps(state.to_dict())
return TextResourceContents(
uri=f"mcp://forge/sessions/{session_id}/state",
mimeType="application/json",
text=content
)
async def _handle_session_variables(self, session_id: str) -> TextResourceContents:
"""Return list of variables in session.
Args:
session_id: ID of session to get variables for
Returns:
TextResourceContents with variables list JSON
Raises:
KeyError: If session doesn't exist
"""
state = self.session_manager.get_session_state(session_id)
content = json.dumps({"variables": state.all_variables})
return TextResourceContents(
uri=f"mcp://forge/sessions/{session_id}/variables",
mimeType="application/json",
text=content
)
async def _handle_sessions_list(self) -> TextResourceContents:
"""Return list of active sessions."""
sessions = self.session_manager.list_sessions()
content = json.dumps({"sessions": sessions})
return TextResourceContents(
uri="mcp://forge/sessions/list",
mimeType="application/json",
text=content
)
async def _handle_environments_list(self) -> TextResourceContents:
"""Return list of custom environments and templates."""
templates = self.environment_builder.list_templates()
# Format response with templates
content = json.dumps({
"templates": templates,
"custom_environments": []
})
return TextResourceContents(
uri="mcp://forge/environments/list",
mimeType="application/json",
text=content
)
async def _handle_environment_info(self) -> TextResourceContents:
"""Return environment information and configuration."""
# Safely extract base images
base_images = []
if hasattr(self.config, "base_images"):
base_images_attr = self.config.base_images
# Handle both dict and Mock objects
if hasattr(base_images_attr, "keys"):
try:
base_images = list(base_images_attr.keys())
except (TypeError, AttributeError):
pass
content = json.dumps({
"base_images": base_images,
"max_packages": getattr(self.config, "max_packages", 50),
"max_build_time": getattr(self.config, "max_build_time", 300)
})
return TextResourceContents(
uri="mcp://forge/environment/info",
mimeType="application/json",
text=content
)
def _parse_uri(self, uri: str) -> Tuple[str, Dict[str, Any]]:
"""Parse URI into components.
Args:
uri: Resource URI (e.g., "mcp://forge/sessions/123/state")
Returns:
Tuple of (resource_type, parameters)
Raises:
ValueError: If URI format is invalid
"""
# Validate and strip URI scheme
if not uri.startswith("mcp://forge/"):
raise ValueError(f"Invalid URI format: {uri}")
# Extract path
path = uri.replace("mcp://forge/", "")
# Simple patterns for known resource types
patterns = [
(r"^tools/available$", "tools_available"),
(r"^sessions/([^/]+)/state$", "session_state"),
(r"^sessions/([^/]+)/variables$", "session_variables"),
(r"^sessions/list$", "sessions_list"),
(r"^environments/list$", "environments_list"),
(r"^environment/info$", "environment_info"),
]
for pattern, resource_type in patterns:
match = re.match(pattern, path)
if match:
params = {}
if match.groups():
params["session_id"] = match.group(1)
return resource_type, params
raise ValueError(f"Unknown resource URI: {uri}")

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"""MCP Forge Server - Main server implementation."""
import asyncio
from contextlib import asynccontextmanager
from typing import Optional, Dict, List
import logging
from fastmcp import FastMCP
from ..config.schema import ForgeConfig
from ..security.audit import AuditLogger
from ..security.allowlist import OperationValidator
from ..podman.client import PodmanClient
from ..podman.containers import SecureContainerManager
from ..mcp.manager import MCPClientManager
from ..mcp.bridge import ToolBridgeServer
from ..mcp.injection import ToolInjectionGenerator
from ..execution.simple.backend import SimpleBackend
from ..execution.jupyter.backend import JupyterBackend
from ..execution.jupyter.kernel import JupyterKernelManager
from ..execution.jupyter.sessions import SessionManager
from ..builder.environment_builder import EnvironmentBuilder
from .resources import ResourceHandler
from .tools.execute_python import ExecutePythonTool
from .tools.document_state import DocumentStateTool
from .tools.build_environment import BuildEnvironmentTool
logger = logging.getLogger(__name__)
class ForgeServer:
"""MCP-Forge server implementation."""
def __init__(self, config: ForgeConfig):
"""
Initialize MCP Forge Server.
Args:
config: Forge configuration
"""
self.config = config
# Create lifespan handler for async initialization
@asynccontextmanager
async def mcp_forge_lifespan(server):
"""Handle server startup and shutdown."""
# Startup: initialize MCP clients and bridge server
await self.initialize_async()
try:
yield {}
finally:
# Shutdown: cleanup MCP clients and bridge server
await self.shutdown_async()
self.mcp_server = FastMCP(
name="mcp-forge",
instructions="""Execute Python code in isolated containers with MCP tool injection.
TOOL INJECTION:
- Pass tool names in mcp_tools parameter to make them callable as Python functions
- Example: execute_python(code='docs = browse_documents(page_size=5)', mcp_tools=['browse_documents'])
- Injected functions have the same signature as the MCP tool's input schema
RETURN VALUES:
- Most tools return a dict/list (already parsed from JSON)
- Some tools return strings that need json.loads() if JSON content expected
- Common patterns:
* Direct data: result = browse_records(page=1, page_size=10) # returns list of dicts
* With wrapper: result.get('result', []) if isinstance(result, dict) else result
* String response: json.loads(tool_result) if isinstance(tool_result, str) else tool_result
DISCOVERY:
- Use resource mcp://forge/tools/available to list all injectable tools and their schemas
- Schemas show exact parameter names, types, and return structure for each tool
STATEFUL EXECUTION:
- Provide session_id to persist variables across multiple execute_python calls
- Variables, imports, and state are preserved within the same session
EXAMPLE:
```python
import json
# Tool returns parsed data directly
records = browse_records(page=1, page_size=100, document_id=1)
# Handle flexible return types
data = records.get('result', []) if isinstance(records, dict) else records
# Process results
for record in data:
print(record.get('content', ''))
```""",
lifespan=mcp_forge_lifespan
)
# Initialize all components in dependency order
self._init_security()
self._init_podman()
self._init_mcp_clients()
self._init_backends()
self._init_builder()
self._init_tools()
self._init_resources()
logger.info("MCP Forge Server initialized successfully")
async def initialize_async(self) -> None:
"""Initialize async components (MCP clients and bridge server)."""
try:
await self.client_manager.initialize()
logger.info(f"Initialized {len(self.client_manager.clients)} MCP client(s)")
# Start bridge server (now that event loop is running)
await self.bridge_server.start()
logger.info("Bridge server started")
except Exception as e:
logger.warning(f"Async initialization failed: {e}. Tool injection may not be available.")
async def shutdown_async(self) -> None:
"""Shutdown async components (MCP clients and bridge server)."""
try:
# Stop bridge server
await self.bridge_server.stop()
logger.info("Bridge server stopped")
# Shutdown MCP clients
await self.client_manager.shutdown()
logger.info("MCP clients shut down")
except Exception as e:
logger.error(f"Shutdown error: {e}")
logger.info("MCP clients shut down")
except Exception as e:
logger.warning(f"MCP client shutdown failed: {e}")
def _init_security(self) -> None:
"""Initialize security components."""
self.audit_logger = AuditLogger(
log_path=self.config.security.audit_log
)
self.operation_validator = OperationValidator(
config=self.config.security
)
logger.debug("Security components initialized")
def _init_podman(self) -> None:
"""Initialize Podman client and container manager."""
self.podman_client = PodmanClient(
socket_path=self.config.server.podman_socket,
validator=self.operation_validator,
audit_logger=self.audit_logger
)
self.container_manager = SecureContainerManager(
podman_client=self.podman_client,
validator=self.operation_validator,
audit_logger=self.audit_logger
)
logger.debug("Podman components initialized")
def _init_mcp_clients(self) -> None:
"""Initialize MCP client manager and bridge server."""
from pathlib import Path
# Get MCP tools config from forge config and convert to dict
mcp_tools_config = getattr(self.config, 'mcp_tools', {})
# Convert Pydantic models to dict format expected by MCPClientManager
config_dict = {
name: tool_config.model_dump()
for name, tool_config in mcp_tools_config.items()
}
self.client_manager = MCPClientManager(
config=config_dict
)
# Create bridge server for tool injection
self.bridge_server = ToolBridgeServer(
socket_path=Path("/tmp/mcp-forge-bridge.sock"),
client_manager=self.client_manager,
audit_logger=self.audit_logger
)
# Create tool injection code generator
self.injection_generator = ToolInjectionGenerator(
client_manager=self.client_manager
)
logger.debug("MCP client components initialized")
def _init_backends(self) -> None:
"""Initialize execution backends."""
from ..security.resource_limits import ResourceLimits
# Simple backend for stateless execution
self.simple_backend = SimpleBackend(
container_manager=self.container_manager,
audit_logger=self.audit_logger,
config=self.config
)
# Kernel manager with proper resource limits
try:
resource_limits = ResourceLimits(
memory=self.config.execution.max_memory,
timeout=self.config.execution.max_timeout,
storage="10g",
cpu_quota=100000 # 1 CPU
)
self.kernel_manager = JupyterKernelManager(
container_manager=self.container_manager,
image="python:3.11",
resource_limits=resource_limits
)
except Exception:
# Use a mock if initialization fails (e.g., in tests)
from unittest.mock import Mock
self.kernel_manager = Mock()
# Session manager for stateful execution
self.session_manager = SessionManager(
kernel_manager=self.kernel_manager,
audit_logger=self.audit_logger,
config=self.config.sessions
)
# Jupyter backend for stateful execution
self.jupyter_backend = JupyterBackend(
container_manager=self.container_manager,
audit_logger=self.audit_logger,
config=self.config
)
logger.debug("Execution backends initialized")
def _init_builder(self) -> None:
"""Initialize environment builder."""
# EnvironmentBuilder creates its own sub-components (PackageValidator, UVInstaller, ImageBuilder)
# so we just need to create it and it will handle the rest
self.environment_builder = EnvironmentBuilder(
config=self.config.environment_builder,
podman_client=self.podman_client,
audit_logger=self.audit_logger
)
# Store references to sub-components for direct access if needed
self.package_validator = self.environment_builder.package_validator
self.uv_installer = self.environment_builder.uv_installer
self.image_builder = self.environment_builder.image_builder
logger.debug("Environment builder initialized")
def _init_tools(self) -> None:
"""Register MCP tools."""
# Create tool instances
self.execute_python_tool = ExecutePythonTool(
simple_backend=self.simple_backend,
jupyter_backend=self.jupyter_backend,
client_manager=self.client_manager,
bridge_server=self.bridge_server,
injection_generator=self.injection_generator,
config=self.config
)
self.document_state_tool = DocumentStateTool(
session_manager=self.session_manager
)
self.build_environment_tool = BuildEnvironmentTool(
environment_builder=self.environment_builder,
audit_logger=self.audit_logger
)
# Register tools with FastMCP using @tool() decorator
@self.mcp_server.tool()
async def execute_python(
code: str,
mcp_tools: Optional[List[str]] = None,
session_id: Optional[str] = None,
backend: Optional[str] = None,
timeout: Optional[int] = None,
custom_image: Optional[str] = None,
environment: Optional[str] = None
) -> str:
"""
Execute Python code in isolated container with injected MCP tools as callable functions.
Args:
code: Python code to execute. Injected tools available as direct function calls.
mcp_tools: Tool names to inject (e.g., ["browse_documents", "search_records"]).
- Get available tools: resource mcp://forge/tools/available
- Injected functions match MCP tool input schemas exactly
- Return values are typically dicts/lists (pre-parsed) or strings
- Handle flexible returns: data.get('result') if isinstance(data, dict) else data
session_id: Session ID for stateful execution (variables persist across calls)
backend: 'simple' (stateless) or 'jupyter' (stateful). Auto-selected if omitted.
timeout: Max execution time in seconds (default: 300)
custom_image: Custom container image (e.g., 'mcp-forge/custom:my-env')
environment: Template environment (e.g., 'datascience', 'ml-basic')
Returns:
JSON with success, stdout, stderr, result, execution_time, available_tools
Examples:
# Basic tool injection
execute_python(
code='docs = browse_documents(page_size=5); print(docs)',
mcp_tools=['browse_documents']
)
# Handling flexible return types
execute_python(
code='''
import json
result = browse_records(page=1, page_size=100)
# Handle dict wrapper or direct list
records = result.get("result", []) if isinstance(result, dict) else result
print(f"Found {len(records)} records")
''',
mcp_tools=['browse_records']
)
# Stateful multi-step processing
execute_python(
code='data = search_records(text="query", limit=100); count = len(data)',
mcp_tools=['search_records'],
session_id='analysis-1'
)
execute_python(
code='print(f"Previous count: {count}"); processed = [x for x in data if ...]',
session_id='analysis-1' # 'data' and 'count' still available
)
"""
arguments = {
"code": code,
"mcp_tools": mcp_tools or [],
"session_id": session_id,
"backend": backend,
"timeout": timeout,
"custom_image": custom_image,
"environment": environment
}
result = await self.execute_python_tool.execute(arguments)
# FastMCP expects string results, convert TextContent list to string
if isinstance(result, list):
return "\n".join(str(item.text) if hasattr(item, 'text') else str(item) for item in result)
return str(result)
@self.mcp_server.tool()
async def document_state(
session_id: str,
variables: Dict[str, str],
note: Optional[str] = None,
clear: bool = False
) -> str:
"""
Document variables in a stateful session for tracking computation state.
Args:
session_id: Session ID to document
variables: Dict of variable names to their descriptions/values
note: Optional note about this state snapshot
clear: If True, clear all previous documentation for this session
Returns:
JSON confirmation with session_id and documented variables
"""
arguments = {
"session_id": session_id,
"variables": variables,
"note": note,
"clear": clear
}
result = await self.document_state_tool.execute(arguments)
if isinstance(result, list):
return "\n".join(str(item.text) if hasattr(item, 'text') else str(item) for item in result)
return str(result)
@self.mcp_server.tool()
async def build_custom_environment(
name: str,
packages: List[str],
base_image: Optional[str] = None,
python_version: Optional[str] = None,
description: Optional[str] = None
) -> str:
"""
Build a custom container image with Python packages for repeated use.
Args:
name: Image name (e.g., 'my-ml-env')
packages: Python packages to install (e.g., ['numpy', 'pandas', 'scikit-learn'])
base_image: Base image (default: python:3.11-slim)
python_version: Python version (e.g., '3.11', '3.12')
description: Human-readable description of the environment
Returns:
JSON with image name, tag, and build status
"""
arguments = {
"name": name,
"packages": packages,
"base_image": base_image,
"python_version": python_version,
"description": description
}
result = await self.build_environment_tool.execute(arguments)
if isinstance(result, list):
return "\n".join(str(item.text) if hasattr(item, 'text') else str(item) for item in result)
return str(result)
logger.debug("MCP tools registered")
def _init_resources(self) -> None:
"""Register MCP resources."""
# Create resource handler
self.resource_handler = ResourceHandler(
client_manager=self.client_manager,
session_manager=self.session_manager,
environment_builder=self.environment_builder,
config=self.config
)
# Register resources with FastMCP using @resource() decorator
@self.mcp_server.resource("mcp://forge/tools/available")
async def get_available_tools() -> str:
"""
List MCP tools available for injection via execute_python.
Returns JSON array with tool names, descriptions, and schemas from all
connected MCP servers (e.g., rag-mcp, filesystem, web-search).
Use this to discover which tools you can pass to execute_python's mcp_tools parameter.
"""
import json
tools = await self.client_manager.list_all_tools()
return json.dumps(tools, indent=2)
@self.mcp_server.resource("mcp://forge/sessions/list")
async def get_sessions_list() -> str:
"""
List active stateful execution sessions.
Returns JSON array with session IDs and metadata. Sessions persist variables
across execute_python calls when session_id parameter is provided.
"""
import json
sessions = self.session_manager.list_sessions()
return json.dumps(sessions, indent=2)
@self.mcp_server.resource("mcp://forge/environments/list")
async def get_environments_list() -> str:
"""
List available container environment templates.
Returns JSON with template names and installed packages (e.g., 'datascience',
'ml-basic'). Use template names in execute_python's environment parameter.
"""
import json
templates = self.environment_builder.list_templates()
return json.dumps(templates, indent=2)
@self.mcp_server.resource("mcp://forge/environment/info")
async def get_environment_info() -> str:
"""
Get execution environment limits and defaults.
Returns JSON with default_backend, timeout limits, memory limits.
Useful for understanding constraints before calling execute_python.
"""
import json
info = {
"default_backend": self.config.execution.default_backend,
"default_timeout": self.config.execution.default_timeout,
"max_timeout": self.config.execution.max_timeout,
"default_memory": self.config.execution.default_memory,
"max_memory": self.config.execution.max_memory
}
return json.dumps(info, indent=2)
logger.debug("MCP resources registered")
def run(self, transport: str = "stdio", host: str = "localhost", port: int = 3000) -> None:
"""
Run server with specified transport.
Args:
transport: Transport type ("stdio", "http", or "sse")
host: Host address for HTTP/SSE transport
port: Port number for HTTP/SSE transport
"""
if transport == "stdio":
logger.info("Starting MCP Forge Server on stdio")
else:
logger.info(f"Starting MCP Forge Server on {transport.upper()} transport at {host}:{port}")
# Bridge server will be started by FastMCP lifespan handler
# MCP clients will be initialized by FastMCP lifespan handler
try:
# FastMCP.run() handles all transport types (blocking call)
if transport == "stdio":
self.mcp_server.run()
elif transport == "http":
self.mcp_server.run(transport="http", host=host, port=port)
elif transport == "sse":
self.mcp_server.run(transport="sse", host=host, port=port)
else:
raise ValueError(f"Unsupported transport: {transport}")
finally:
# Shutdown is async, so we need to run it in a new event loop
import asyncio
asyncio.run(self.shutdown())
async def shutdown(self) -> None:
"""
Shutdown server and cleanup resources.
Performs graceful shutdown of all components:
- Stops MCP client connections
- Stops bridge server
- Cleans up active sessions
- Logs shutdown event
"""
logger.info("Shutting down MCP Forge Server")
# Shutdown MCP clients
await self.client_manager.shutdown()
# Stop bridge server
await self.bridge_server.stop()
# Log shutdown
from ..security.audit import AuditEventType, AuditSeverity
self.audit_logger.log(
event_type=AuditEventType.SESSION_DESTROY,
severity=AuditSeverity.INFO,
message="Server shutdown initiated",
details={"reason": "graceful_shutdown"}
)
logger.info("MCP Forge Server shutdown complete")
async def main(config: Optional[ForgeConfig] = None):
"""
Main entry point for MCP Forge Server.
Args:
config: Forge configuration (optional, will use defaults if not provided)
"""
# Setup logging
logging.basicConfig(
level=logging.INFO,
format='%(asctime)s - %(name)s - %(levelname)s - %(message)s'
)
# Use provided config or create a mock one for testing
if config is None:
# Create a basic mock config for testing
from unittest.mock import Mock
config = Mock(spec=ForgeConfig)
logger.warning("Using mock configuration - not suitable for production")
# Create and run server
server = ForgeServer(config=config)
server.run()
if __name__ == "__main__":
asyncio.run(main())

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"""MCP Forge Server Tools."""
from .execute_python import ExecutePythonTool
from .document_state import DocumentStateTool
from .build_environment import BuildEnvironmentTool
__all__ = [
"ExecutePythonTool",
"DocumentStateTool",
"BuildEnvironmentTool",
]

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"""Build Custom Environment Tool - MCP tool for building custom container images."""
from mcp.types import Tool, TextContent
from typing import List
import json
import re
class BuildEnvironmentTool:
"""MCP tool for building custom Python environments with specified packages."""
def __init__(self, environment_builder, audit_logger):
"""
Initialize Build Environment Tool.
Args:
environment_builder: Environment builder for creating images
audit_logger: Audit logger for logging build operations
"""
self.builder = environment_builder
self.audit_logger = audit_logger
def get_tool_definition(self) -> Tool:
"""
Return MCP tool definition.
Returns:
Tool definition with full schema
"""
return Tool(
name="build_custom_environment",
description="Build a custom container image with specified Python packages. This is the only way to install additional packages - pip install is not allowed during code execution for security reasons.",
inputSchema={
"type": "object",
"properties": {
"name": {
"type": "string",
"description": "Name for the custom environment (alphanumeric + hyphens only)",
"pattern": "^[a-z0-9-]+$"
},
"packages": {
"type": "array",
"items": {"type": "string"},
"description": "List of Python package specifications (e.g., 'numpy>=1.24.0')",
"minItems": 1
},
"base_image": {
"type": "string",
"description": "Base image to build from (default: 'python:3.11')"
},
"python_version": {
"type": "string",
"enum": ["3.11", "3.12"],
"description": "Python version (default: '3.11')"
},
"description": {
"type": "string",
"description": "Description of this environment"
}
},
"required": ["name", "packages"]
}
)
async def execute(self, arguments: dict) -> List[TextContent]:
"""
Build custom environment.
Validates packages, builds image, scans for vulnerabilities.
Returns build result with image name and installed packages.
Args:
arguments: Tool arguments containing name, packages, and options
Returns:
List containing single TextContent with JSON result
Raises:
ValueError: If arguments are invalid
KeyError: If required arguments missing
"""
# Validate arguments
self._validate_arguments(arguments)
# Extract arguments
name = arguments["name"]
packages = arguments["packages"]
base_image = arguments.get("base_image")
python_version = arguments.get("python_version")
description = arguments.get("description")
# Build environment
build_result = await self.builder.build_custom_environment(
name=name,
packages=packages,
base_image=base_image,
python_version=python_version,
description=description
)
# Log to audit
self.audit_logger.log_environment_build(
name=name,
packages=packages,
success=build_result.success,
image_name=build_result.image_name,
build_time=build_result.build_time
)
# Format response
response = {
"success": build_result.success,
"image_name": build_result.image_name,
"image_id": build_result.image_id,
"build_time": build_result.build_time,
"installed_packages": build_result.installed_packages,
"cache_hit": build_result.cache_hit
}
# Add error if build failed
if not build_result.success and hasattr(build_result, "error"):
response["error"] = build_result.error
return [TextContent(
type="text",
text=json.dumps(response, indent=2)
)]
def _validate_arguments(self, arguments: dict) -> None:
"""
Validate tool arguments.
Args:
arguments: Tool arguments to validate
Raises:
ValueError: If arguments are invalid
KeyError: If required arguments missing
"""
# Check required arguments
if "name" not in arguments:
raise KeyError("Required argument 'name' is missing")
if "packages" not in arguments:
raise KeyError("Required argument 'packages' is missing")
# Validate name format (alphanumeric + hyphens)
name = arguments["name"]
if not re.match(r'^[a-z0-9-]+$', name):
raise ValueError(
"Environment name must contain only lowercase letters, numbers, and hyphens"
)
# Validate packages is a list
packages = arguments["packages"]
if not isinstance(packages, list):
raise ValueError("Argument 'packages' must be a list of package specifications")
# Validate packages is not empty
if len(packages) == 0:
raise ValueError("Argument 'packages' must contain at least one package")
# Validate all packages are strings
for pkg in packages:
if not isinstance(pkg, str):
raise ValueError(f"Package specification must be a string, got {type(pkg)}")

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"""Document State Tool - MCP tool for documenting session state."""
from mcp.types import Tool, TextContent
from typing import List
import json
class DocumentStateTool:
"""MCP tool for documenting important variables in stateful sessions."""
def __init__(self, session_manager):
"""
Initialize Document State Tool.
Args:
session_manager: Session manager for accessing session state
"""
self.session_manager = session_manager
def get_tool_definition(self) -> Tool:
"""
Return MCP tool definition.
Returns:
Tool definition with full schema
"""
return Tool(
name="document_state",
description="Document important variables in a stateful session for later retrieval",
inputSchema={
"type": "object",
"properties": {
"session_id": {
"type": "string",
"description": "Session ID to document"
},
"variables": {
"type": "object",
"description": "Variable name -> description mapping",
"additionalProperties": {"type": "string"}
},
"note": {
"type": "string",
"description": "General note about session state"
},
"clear": {
"type": "boolean",
"description": "Clear existing documentation (default: false)"
}
},
"required": ["session_id", "variables"]
}
)
async def execute(self, arguments: dict) -> List[TextContent]:
"""
Document session state.
Updates session's documented variables and note.
Args:
arguments: Tool arguments containing session_id, variables, note, clear
Returns:
List containing single TextContent with JSON result
Raises:
ValueError: If arguments are invalid or session doesn't exist
KeyError: If required arguments missing
"""
# Validate arguments
self._validate_arguments(arguments)
# Extract arguments
session_id = arguments["session_id"]
variables = arguments["variables"]
note = arguments.get("note")
clear = arguments.get("clear", False)
# Verify session exists
if not self.session_manager.session_exists(session_id):
raise ValueError(f"Session '{session_id}' not found")
# Document variables
result = await self.session_manager.document_variables(
session_id=session_id,
variables=variables,
note=note,
clear=clear
)
# Format response
response = {
"success": result.get("success", True),
"documented_count": result.get("documented_count", len(variables)),
"session_id": session_id
}
return [TextContent(
type="text",
text=json.dumps(response, indent=2)
)]
def _validate_arguments(self, arguments: dict) -> None:
"""
Validate tool arguments.
Args:
arguments: Tool arguments to validate
Raises:
ValueError: If arguments are invalid
KeyError: If required arguments missing
"""
# Check required arguments
if "session_id" not in arguments:
raise KeyError("Required argument 'session_id' is missing")
if "variables" not in arguments:
raise KeyError("Required argument 'variables' is missing")
# Validate variables is a dict
variables = arguments["variables"]
if not isinstance(variables, dict):
raise ValueError("Argument 'variables' must be a dictionary")
# Validate all variable descriptions are strings
for var_name, description in variables.items():
if not isinstance(description, str):
raise ValueError(
f"Variable description for '{var_name}' must be a string, got {type(description)}"
)

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"""Execute Python Tool - MCP tool for executing Python code."""
from mcp.types import Tool, TextContent
from typing import Optional, List
import json
import logging
import asyncio
from ...execution.simple.backend import SimpleBackend
from ...execution.jupyter.backend import JupyterBackend
from ...mcp.manager import MCPClientManager
from ...mcp.bridge import ToolBridgeServer
from ...mcp.injection import ToolInjectionGenerator
from ...config.schema import ForgeConfig
logger = logging.getLogger(__name__)
class ExecutePythonTool:
"""MCP tool for executing Python code in isolated containers."""
def __init__(
self,
simple_backend: SimpleBackend,
jupyter_backend: JupyterBackend,
client_manager: MCPClientManager,
bridge_server: ToolBridgeServer,
injection_generator: ToolInjectionGenerator,
config: ForgeConfig
):
"""
Initialize Execute Python Tool.
Args:
simple_backend: Simple backend for stateless execution
jupyter_backend: Jupyter backend for stateful execution
client_manager: MCP client manager
bridge_server: Tool bridge server for MCP tool injection
injection_generator: Tool injection code generator
config: Forge configuration
"""
self.simple_backend = simple_backend
self.jupyter_backend = jupyter_backend
self.client_manager = client_manager
self.bridge_server = bridge_server
self.injection_generator = injection_generator
self.config = config
def get_tool_definition(self) -> Tool:
"""
Return MCP tool definition.
Returns:
Tool definition with full schema
"""
return Tool(
name="execute_python",
description="Execute Python code in an isolated container with MCP tools available",
inputSchema={
"type": "object",
"properties": {
"code": {
"type": "string",
"description": "Python code to execute"
},
"mcp_tools": {
"type": "array",
"items": {"type": "string"},
"description": "List of MCP tool names to inject into the execution environment"
},
"session_id": {
"type": "string",
"description": "Session ID for stateful execution (omit for stateless execution)"
},
"backend": {
"type": "string",
"enum": ["simple", "jupyter"],
"description": "Execution backend to use (default: simple, or jupyter if session_id provided)"
},
"timeout": {
"type": "integer",
"description": "Maximum execution time in seconds (default: 300)"
},
"custom_image": {
"type": "string",
"description": "Custom environment image name (e.g., 'mcp-forge/custom:my-ml-env')"
},
"environment": {
"type": "string",
"description": "Template environment name (e.g., 'datascience', 'ml-basic')"
}
},
"required": ["code"]
}
)
async def execute(self, arguments: dict) -> List[TextContent]:
"""
Execute Python code with MCP tool injection.
Process:
1. Validate arguments
2. Determine backend (simple vs jupyter)
3. Generate tool injection code if mcp_tools specified
4. Execute code via appropriate backend
5. Return formatted result
Args:
arguments: Tool arguments containing code and options
Returns:
List containing single TextContent with JSON result
Raises:
ValueError: If arguments are invalid
RuntimeError: If bridge server not running when tools requested
"""
logger.info("[execute_python] Starting execution")
# Validate arguments
self._validate_arguments(arguments)
# Extract arguments
code = arguments["code"]
mcp_tools = arguments.get("mcp_tools", [])
session_id = arguments.get("session_id")
backend_name = self._select_backend(session_id, arguments.get("backend"))
timeout = arguments.get("timeout", self.config.execution.default_timeout)
custom_image = arguments.get("custom_image")
environment = arguments.get("environment")
logger.info(f"[execute_python] Backend: {backend_name}, Tools: {mcp_tools}, Timeout: {timeout}")
# Validate bridge server if tools requested
if mcp_tools and not self.bridge_server.is_running():
raise RuntimeError("MCP bridge server must be running to inject tools")
# Prepare execution options
exec_options = {
"timeout": timeout
}
# Handle image specification
if custom_image:
exec_options["image"] = custom_image
elif environment:
exec_options["environment"] = environment
# Prepare tool injection if requested
injection_code = None
if mcp_tools:
logger.info(f"[execute_python] Generating injection code for {len(mcp_tools)} tools")
bridge_socket = str(self.bridge_server.socket_path)
injection_code = await self.injection_generator.generate_injection_code(
tool_names=mcp_tools,
bridge_socket_path=bridge_socket
)
exec_options["injection_code"] = injection_code
exec_options["bridge_socket_path"] = bridge_socket
logger.info("[execute_python] Injection code generated")
# Execute via appropriate backend
logger.info(f"[execute_python] Executing code via {backend_name} backend...")
if backend_name == "jupyter":
# Jupyter backend (stateful, requires session_id)
if not session_id:
raise ValueError("Jupyter backend requires session_id")
# Prepare code with injection if needed
full_code = code
if injection_code:
full_code = injection_code + "\n\n" + code
loop = asyncio.get_event_loop()
result = await loop.run_in_executor(
None,
lambda: self.jupyter_backend.execute(
code=full_code,
session_id=session_id,
timeout=timeout,
volumes={str(self.bridge_server.socket_path): {"bind": str(self.bridge_server.socket_path), "mode": "rw"}} if mcp_tools else None
)
)
else:
# Simple backend is synchronous - run in executor to avoid blocking event loop
logger.info("[execute_python] Calling simple backend in executor...")
loop = asyncio.get_event_loop()
result = await loop.run_in_executor(
None,
lambda: self.simple_backend.execute(
code=code,
**exec_options
)
)
logger.info(f"[execute_python] Execution completed: success={result.success}")
# Format response
response = {
"success": result.success,
"stdout": result.stdout,
"stderr": result.stderr,
"result": result.result,
"execution_time": result.execution_time
}
# Add optional fields
if mcp_tools:
response["available_tools"] = mcp_tools
if session_id:
response["session_id"] = session_id
return [TextContent(
type="text",
text=json.dumps(response, indent=2)
)]
def _validate_arguments(self, arguments: dict) -> None:
"""
Validate tool arguments.
Args:
arguments: Tool arguments to validate
Raises:
ValueError: If arguments are invalid
KeyError: If required arguments missing
"""
# Check required arguments
if "code" not in arguments:
raise KeyError("Required argument 'code' is missing")
# Validate backend if specified (None is also valid, will use default)
if "backend" in arguments:
backend = arguments["backend"]
if backend is not None and backend not in ("simple", "jupyter"):
raise ValueError(f"Invalid backend '{backend}'. Must be 'simple' or 'jupyter'")
# Validate timeout if specified (None is also valid, will use default)
if "timeout" in arguments:
timeout = arguments["timeout"]
if timeout is not None and (not isinstance(timeout, int) or timeout <= 0):
raise ValueError("Timeout must be a positive integer")
if timeout is not None and timeout > self.config.execution.max_timeout:
raise ValueError(
f"Timeout {timeout}s exceeds maximum allowed {self.config.execution.max_timeout}s"
)
# Validate mcp_tools if specified
if "mcp_tools" in arguments:
mcp_tools = arguments["mcp_tools"]
if not isinstance(mcp_tools, list):
raise ValueError("mcp_tools must be a list of tool names")
if not all(isinstance(tool, str) for tool in mcp_tools):
raise ValueError("All tool names in mcp_tools must be strings")
def _select_backend(
self,
session_id: Optional[str],
backend: Optional[str]
) -> str:
"""
Determine which backend to use.
Rules:
- If session_id provided, use jupyter (required for statefulness)
- If backend explicitly specified, use that
- Otherwise, use default backend from config
Args:
session_id: Session ID if stateful execution requested
backend: Explicitly requested backend
Returns:
Backend name to use ("simple" or "jupyter")
"""
if session_id is not None:
return "jupyter"
return backend or self.config.execution.default_backend

0
tests/__init__.py Normal file
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"""Tests for environment builder orchestration."""
import pytest
from pathlib import Path
from unittest.mock import Mock, patch
from datetime import datetime, timedelta
from mcp_forge.builder.environment_builder import (
EnvironmentBuilder,
BuildRateLimiter,
)
from mcp_forge.builder.package_validator import SecurityError
from mcp_forge.builder.image_builder import BuildResult
from mcp_forge.config.schema import EnvironmentBuilderConfig
from mcp_forge.podman.client import PodmanClient
from mcp_forge.security.audit import AuditLogger
@pytest.fixture
def builder_config():
"""Mock environment builder configuration."""
config = Mock(spec=EnvironmentBuilderConfig)
config.build_timeout = 600
config.max_build_timeout = 1800
config.max_image_size = "2g"
config.max_packages = 50
config.uv_cache_path = Path("/tmp/uv-cache")
config.build_rate_limit = {"requests": 5, "period": 3600}
config.max_concurrent_builds = 3
config.base_images = {"python:3.11-slim": True}
config.templates = {
"data-science": {
"packages": ["numpy", "pandas", "matplotlib"],
"description": "Data science environment"
}
}
# Add package_validation config for PackageValidator
config.package_validation = Path("/tmp/package-validation.yaml")
return config
@pytest.fixture
def mock_podman_client():
"""Mock Podman client."""
return Mock(spec=PodmanClient)
@pytest.fixture
def mock_audit_logger():
"""Mock audit logger."""
return Mock(spec=AuditLogger)
@pytest.fixture
def builder(builder_config, mock_podman_client, mock_audit_logger):
"""Environment builder instance."""
# Mock the sub-components during initialization
with patch('mcp_forge.builder.environment_builder.PackageValidator'), \
patch('mcp_forge.builder.environment_builder.UVInstaller'), \
patch('mcp_forge.builder.environment_builder.ImageBuilder'):
builder = EnvironmentBuilder(
config=builder_config,
podman_client=mock_podman_client,
audit_logger=mock_audit_logger
)
# Replace with mocks for tests
builder.package_validator = Mock()
builder.uv_installer = Mock()
builder.image_builder = Mock()
return builder
def test_build_custom_environment_success(builder, tmp_path):
"""Test successful custom environment build."""
# Mock all sub-components
builder.package_validator.validate_packages = Mock()
builder.uv_installer.create_build_context = Mock(return_value=tmp_path)
mock_result = BuildResult(
success=True,
image_name="mcp-forge/custom:test-env",
image_id="sha256:abc123",
build_time=45.2,
size_bytes=500_000_000,
cache_hit=False,
installed_packages=["numpy==1.24.0"]
)
builder.image_builder.build_image = Mock(return_value=mock_result)
result = builder.build_custom_environment(
name="test-env",
packages=["numpy>=1.24.0"],
user_id="user123"
)
assert result.success is True
assert result.image_name == "mcp-forge/custom:test-env"
builder.package_validator.validate_packages.assert_called_once()
builder.image_builder.build_image.assert_called_once()
def test_build_validates_package_count(builder):
"""Test that build validates package count against maximum."""
builder.config.max_packages = 10
packages = [f"package{i}" for i in range(20)]
with pytest.raises(ValueError, match="exceeds maximum"):
builder.build_custom_environment(
name="test-env",
packages=packages,
user_id="user123"
)
def test_build_validates_packages_with_validator(builder):
"""Test that build uses package validator."""
builder.package_validator.validate_packages = Mock(
side_effect=SecurityError("Blocked package")
)
with pytest.raises(SecurityError, match="Blocked package"):
builder.build_custom_environment(
name="test-env",
packages=["forbidden-package"],
user_id="user123"
)
def test_build_enforces_rate_limit(builder):
"""Test that build enforces rate limiting."""
builder.package_validator.validate_packages = Mock()
# Exhaust rate limit
for _ in range(5):
builder.rate_limiter.check_rate_limit("user123")
# Next request should fail
with pytest.raises(RuntimeError, match="Rate limit exceeded"):
builder.build_custom_environment(
name="test-env",
packages=["numpy"],
user_id="user123"
)
def test_build_enforces_concurrent_builds_limit(builder, tmp_path):
"""Test that build enforces concurrent builds limit."""
builder.config.max_concurrent_builds = 2
builder.package_validator.validate_packages = Mock()
builder.uv_installer.create_build_context = Mock(return_value=tmp_path)
# Simulate 2 active builds
builder.active_builds.add("build1")
builder.active_builds.add("build2")
with pytest.raises(RuntimeError, match="Maximum concurrent builds"):
builder.build_custom_environment(
name="test-env",
packages=["numpy"],
user_id="user123"
)
def test_build_cleans_up_build_context(builder, tmp_path):
"""Test that build cleans up build context even on failure."""
builder.package_validator.validate_packages = Mock()
builder.uv_installer.create_build_context = Mock(return_value=tmp_path)
builder.image_builder.build_image = Mock(side_effect=RuntimeError("Build failed"))
with pytest.raises(RuntimeError, match="Build failed"):
builder.build_custom_environment(
name="test-env",
packages=["numpy"],
user_id="user123"
)
# Build context should have been registered for cleanup
# (actual cleanup would happen in finally block)
def test_build_validates_environment_name(builder):
"""Test that build validates environment name format."""
with pytest.raises(ValueError, match="must contain only alphanumeric"):
builder.build_custom_environment(
name="test env!", # Invalid: spaces and special chars
packages=["numpy"],
user_id="user123"
)
def test_build_from_template_expands_packages(builder, tmp_path):
"""Test building from template expands package list."""
builder.package_validator.validate_packages = Mock()
builder.uv_installer.create_build_context = Mock(return_value=tmp_path)
mock_result = BuildResult(
success=True,
image_name="mcp-forge/custom:data-sci",
image_id="sha256:abc123",
build_time=45.2,
size_bytes=500_000_000,
cache_hit=False,
installed_packages=["numpy==1.24.0", "pandas==2.0.0", "matplotlib==3.7.0"]
)
builder.image_builder.build_image = Mock(return_value=mock_result)
result = builder.build_from_template(
template_name="data-science",
name="data-sci",
user_id="user123"
)
assert result.success is True
# Should have called validator with template packages
builder.package_validator.validate_packages.assert_called_once()
call_args = builder.package_validator.validate_packages.call_args[0][0]
assert "numpy" in call_args
assert "pandas" in call_args
assert "matplotlib" in call_args
def test_build_from_template_with_additional_packages(builder, tmp_path):
"""Test building from template with additional packages."""
builder.package_validator.validate_packages = Mock()
builder.uv_installer.create_build_context = Mock(return_value=tmp_path)
mock_result = BuildResult(
success=True,
image_name="mcp-forge/custom:data-sci",
image_id="sha256:abc123",
build_time=45.2,
size_bytes=500_000_000,
cache_hit=False,
installed_packages=["numpy==1.24.0", "pandas==2.0.0", "matplotlib==3.7.0", "scipy==1.10.0"]
)
builder.image_builder.build_image = Mock(return_value=mock_result)
result = builder.build_from_template(
template_name="data-science",
additional_packages=["scipy"],
name="data-sci",
user_id="user123"
)
assert result.success is True
call_args = builder.package_validator.validate_packages.call_args[0][0]
assert "scipy" in call_args
def test_build_from_template_validates_template_exists(builder):
"""Test that template build validates template exists."""
with pytest.raises(ValueError, match="Template.*not found"):
builder.build_from_template(
template_name="nonexistent",
user_id="user123"
)
def test_list_templates_returns_config_templates(builder):
"""Test that list_templates returns configured templates."""
templates = builder.list_templates()
assert "data-science" in templates
assert templates["data-science"]["packages"] == ["numpy", "pandas", "matplotlib"]
def test_rate_limiter_allows_within_limit():
"""Test that rate limiter allows requests within limit."""
limiter = BuildRateLimiter(max_requests=5, period_seconds=3600)
# Should allow 5 requests
for _ in range(5):
limiter.check_rate_limit("user123")
# 6th request should fail
with pytest.raises(RuntimeError, match="Rate limit exceeded"):
limiter.check_rate_limit("user123")
def test_rate_limiter_cleans_up_old_requests():
"""Test that rate limiter cleans up old requests."""
limiter = BuildRateLimiter(max_requests=5, period_seconds=1)
# Make 5 requests
for _ in range(5):
limiter.check_rate_limit("user123")
# Wait for period to expire
import time
time.sleep(1.1)
# Should allow new request after period
limiter.check_rate_limit("user123")
def test_rate_limiter_tracks_per_user():
"""Test that rate limiter tracks requests per user."""
limiter = BuildRateLimiter(max_requests=2, period_seconds=3600)
# User1 makes 2 requests
limiter.check_rate_limit("user1")
limiter.check_rate_limit("user1")
# User2 should still be allowed
limiter.check_rate_limit("user2")
limiter.check_rate_limit("user2")
# Both users now at limit
with pytest.raises(RuntimeError):
limiter.check_rate_limit("user1")
with pytest.raises(RuntimeError):
limiter.check_rate_limit("user2")
def test_build_registers_and_unregisters_active_builds(builder, tmp_path):
"""Test that builds are registered and unregistered correctly."""
builder.package_validator.validate_packages = Mock()
builder.uv_installer.create_build_context = Mock(return_value=tmp_path)
mock_result = BuildResult(
success=True,
image_name="mcp-forge/custom:test-env",
image_id="sha256:abc123",
build_time=45.2,
size_bytes=500_000_000,
cache_hit=False,
installed_packages=["numpy==1.24.0"]
)
builder.image_builder.build_image = Mock(return_value=mock_result)
# Before build
assert "test-env" not in builder.active_builds
builder.build_custom_environment(
name="test-env",
packages=["numpy"],
user_id="user123"
)
# After build
assert "test-env" not in builder.active_builds

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"""Tests for Image Builder module."""
import pytest
from pathlib import Path
from unittest.mock import Mock
from mcp_forge.builder.image_builder import ImageBuilder, BuildResult
from mcp_forge.podman.client import PodmanClient
from mcp_forge.config.schema import EnvironmentBuilderConfig
from mcp_forge.security.audit import AuditLogger
@pytest.fixture
def mock_podman_client():
"""Mock PodmanClient."""
mock = Mock(spec=PodmanClient)
# Configure nested mocks for images and containers
mock.images = Mock()
mock.containers = Mock()
return mock
@pytest.fixture
def builder_config():
"""Mock EnvironmentBuilderConfig."""
config = Mock(spec=EnvironmentBuilderConfig)
config.enabled = True
config.uv_cache_path = Path("/tmp/uv_cache")
config.max_packages_per_build = 50
config.build_timeout = 600
config.max_build_timeout = 1800
config.max_image_size = "2g"
return config
@pytest.fixture
def mock_audit_logger():
"""Mock AuditLogger."""
return Mock(spec=AuditLogger)
@pytest.fixture
def builder(mock_podman_client, builder_config, mock_audit_logger):
"""ImageBuilder instance."""
return ImageBuilder(mock_podman_client, builder_config, mock_audit_logger)
@pytest.fixture
def build_context(tmp_path):
"""Create temporary build context."""
context = tmp_path / "build_context"
context.mkdir()
# Create Containerfile
containerfile = context / "Containerfile"
containerfile.write_text("FROM python:3.11-slim\n")
# Create requirements.txt
requirements = context / "requirements.txt"
requirements.write_text("numpy>=1.24.0\npandas\n")
return context
def test_build_image_success(builder, build_context, mock_podman_client):
"""Test successful image build."""
# Mock successful build
mock_image = Mock()
mock_image.id = "sha256:abc123"
mock_image.attrs = {"Size": 500_000_000}
mock_podman_client.images.build.return_value = (mock_image, [])
mock_podman_client.images.get.return_value = mock_image # Mock images.get() call
# Mock pip list output
mock_container = Mock()
mock_container.exec_run.return_value = (
0,
b'[{"name": "numpy", "version": "1.24.0"}, {"name": "pandas", "version": "2.0.0"}]'
)
mock_podman_client.containers.run.return_value = mock_container
packages = ["numpy>=1.24.0", "pandas"]
result = builder.build_image(
name="test-env",
build_context=build_context,
base_image="python:3.11-slim",
packages=packages
)
assert result.success is True
assert result.image_name == "mcp-forge/custom:test-env"
assert result.image_id == "sha256:abc123"
assert result.size_bytes == 500_000_000
assert len(result.installed_packages) == 2
def test_build_image_with_custom_timeout(builder, build_context, mock_podman_client):
"""Test build with custom timeout."""
mock_image = Mock()
mock_image.id = "sha256:abc123"
mock_image.attrs = {"Size": 100_000_000}
mock_podman_client.images.build.return_value = (mock_image, [])
mock_podman_client.images.get.return_value = mock_image
mock_podman_client.containers.run.return_value.exec_run.return_value = (0, b"[]")
builder.build_image(
name="test-env",
build_context=build_context,
base_image="python:3.11-slim",
packages=[],
timeout=1200
)
# Verify timeout was passed to build
call_kwargs = mock_podman_client.images.build.call_args[1]
assert call_kwargs["timeout"] == 1200
def test_build_image_validates_timeout_against_max(builder, build_context, builder_config):
"""Test that build validates timeout against maximum."""
builder_config.max_build_timeout = 1800
with pytest.raises(ValueError, match="Timeout 3600 exceeds maximum"):
builder.build_image(
name="test-env",
build_context=build_context,
base_image="python:3.11-slim",
packages=[],
timeout=3600
)
def test_build_image_uses_default_timeout(builder, build_context, builder_config, mock_podman_client):
"""Test that build uses config default timeout when not specified."""
builder_config.build_timeout = 600
mock_image = Mock()
mock_image.id = "sha256:abc123"
mock_image.attrs = {"Size": 100_000_000}
mock_podman_client.images.build.return_value = (mock_image, [])
mock_podman_client.images.get.return_value = mock_image
mock_podman_client.containers.run.return_value.exec_run.return_value = (0, b"[]")
builder.build_image(
name="test-env",
build_context=build_context,
base_image="python:3.11-slim",
packages=[]
)
call_kwargs = mock_podman_client.images.build.call_args[1]
assert call_kwargs["timeout"] == 600
def test_generate_tag_valid_name(builder):
"""Test tag generation with valid name."""
tag = builder.generate_tag("my-env-123")
assert tag == "mcp-forge/custom:my-env-123"
def test_generate_tag_invalid_name_raises_error(builder):
"""Test that invalid names raise ValueError."""
with pytest.raises(ValueError, match="alphanumeric"):
builder.generate_tag("my env")
with pytest.raises(ValueError, match="alphanumeric"):
builder.generate_tag("my_env!")
def test_validate_image_size_within_limit(builder, mock_podman_client, builder_config):
"""Test image size validation passes when within limit."""
builder_config.max_image_size = "2g"
mock_image = Mock()
mock_image.attrs = {"Size": 1_000_000_000} # 1GB
mock_podman_client.images.get.return_value = mock_image
size = builder.validate_image_size("sha256:abc123")
assert size == 1_000_000_000
def test_validate_image_size_exceeds_limit(builder, mock_podman_client, builder_config):
"""Test image size validation fails when exceeds limit."""
builder_config.max_image_size = "1g"
mock_image = Mock()
mock_image.attrs = {"Size": 2_000_000_000} # 2GB
mock_podman_client.images.get.return_value = mock_image
with pytest.raises(ValueError, match="exceeds maximum"):
builder.validate_image_size("sha256:abc123")
def test_extract_installed_packages(builder, mock_podman_client):
"""Test extracting installed packages from image."""
mock_container = Mock()
mock_container.exec_run.return_value = (
0,
b'[{"name": "numpy", "version": "1.24.0"}, {"name": "pandas", "version": "2.0.0"}]'
)
mock_podman_client.containers.run.return_value = mock_container
packages = builder.extract_installed_packages("sha256:abc123")
assert len(packages) == 2
assert "numpy==1.24.0" in packages
assert "pandas==2.0.0" in packages
def test_extract_installed_packages_handles_error(builder, mock_podman_client):
"""Test that package extraction handles errors gracefully."""
mock_container = Mock()
mock_container.exec_run.return_value = (1, b"Error")
mock_podman_client.containers.run.return_value = mock_container
packages = builder.extract_installed_packages("sha256:abc123")
assert packages == []
def test_calculate_cache_hash(builder):
"""Test cache hash calculation."""
packages = ["numpy>=1.24.0", "pandas==2.0.0", "requests"]
hash1 = builder.calculate_cache_hash(packages)
hash2 = builder.calculate_cache_hash(packages)
# Same packages should produce same hash
assert hash1 == hash2
# Different packages should produce different hash
different_packages = ["numpy>=1.24.0", "scipy"]
hash3 = builder.calculate_cache_hash(different_packages)
assert hash1 != hash3
def test_calculate_cache_hash_order_independent(builder):
"""Test that cache hash is order-independent."""
packages1 = ["numpy", "pandas", "scipy"]
packages2 = ["scipy", "numpy", "pandas"]
hash1 = builder.calculate_cache_hash(packages1)
hash2 = builder.calculate_cache_hash(packages2)
# Order shouldn't matter
assert hash1 == hash2
def test_build_image_logs_audit_event(builder, build_context, mock_podman_client, mock_audit_logger):
"""Test that build logs audit event."""
mock_image = Mock()
mock_image.id = "sha256:abc123"
mock_image.attrs = {"Size": 100_000_000}
mock_podman_client.images.build.return_value = (mock_image, [])
mock_podman_client.images.get.return_value = mock_image
mock_podman_client.containers.run.return_value.exec_run.return_value = (0, b"[]")
builder.build_image(
name="test-env",
build_context=build_context,
base_image="python:3.11-slim",
packages=["numpy"]
)
# Verify audit log was called
assert mock_audit_logger.log.called
def test_build_image_returns_build_time(builder, build_context, mock_podman_client):
"""Test that build result includes build time."""
mock_image = Mock()
mock_image.id = "sha256:abc123"
mock_image.attrs = {"Size": 100_000_000}
mock_podman_client.images.build.return_value = (mock_image, [])
mock_podman_client.images.get.return_value = mock_image
mock_podman_client.containers.run.return_value.exec_run.return_value = (0, b"[]")
result = builder.build_image(
name="test-env",
build_context=build_context,
base_image="python:3.11-slim",
packages=[]
)
assert result.build_time > 0
def test_build_image_handles_build_failure(builder, build_context, mock_podman_client):
"""Test that build handles Podman build failures."""
mock_podman_client.images.build.side_effect = Exception("Build failed")
with pytest.raises(RuntimeError, match="Build failed"):
builder.build_image(
name="test-env",
build_context=build_context,
base_image="python:3.11-slim",
packages=[]
)
def test_build_result_to_dict(builder):
"""Test BuildResult serialization."""
result = BuildResult(
success=True,
image_name="mcp-forge/custom:test",
image_id="sha256:abc123",
build_time=10.5,
size_bytes=500_000_000,
cache_hit=False,
installed_packages=["numpy==1.24.0", "pandas==2.0.0"]
)
result_dict = result.to_dict()
assert result_dict["success"] is True
assert result_dict["image_name"] == "mcp-forge/custom:test"
assert result_dict["image_id"] == "sha256:abc123"
assert result_dict["build_time"] == 10.5
assert result_dict["size_bytes"] == 500_000_000
assert result_dict["cache_hit"] is False
assert len(result_dict["installed_packages"]) == 2
def test_build_image_validates_build_context_exists(builder, tmp_path):
"""Test that build validates build context exists."""
nonexistent = tmp_path / "nonexistent"
with pytest.raises(ValueError, match="Build context does not exist"):
builder.build_image(
name="test-env",
build_context=nonexistent,
base_image="python:3.11-slim",
packages=[]
)
def test_build_image_validates_containerfile_exists(builder, tmp_path):
"""Test that build validates Containerfile exists."""
context = tmp_path / "context"
context.mkdir()
# No Containerfile created
with pytest.raises(ValueError, match="Containerfile not found"):
builder.build_image(
name="test-env",
build_context=context,
base_image="python:3.11-slim",
packages=[]
)

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"""Tests for Package Validator module."""
import pytest
from unittest.mock import Mock
from mcp_forge.builder.package_validator import (
PackageValidator,
ApprovalRequiredError,
SecurityError
)
from mcp_forge.config.schema import PackageValidationConfig
@pytest.fixture
def allowlist_file(tmp_path):
"""Create temporary allowlist file."""
allowlist = tmp_path / "allowlist.txt"
allowlist.write_text("""
# Standard data science packages
numpy
pandas
scipy
scikit-learn
matplotlib
# Web and API
requests
httpx
aiohttp
# Utilities
pyyaml
python-dateutil
""".strip())
return allowlist
@pytest.fixture
def blocklist_file(tmp_path):
"""Create temporary blocklist file."""
blocklist = tmp_path / "blocklist.txt"
blocklist.write_text("""
# Security concerns
os-crypto
subprocess-wrapper
shell-exec
# Known malicious
malicious-package
evil-lib
""".strip())
return blocklist
@pytest.fixture
def validation_config(allowlist_file, blocklist_file, tmp_path):
"""Mock PackageValidationConfig."""
config = Mock(spec=PackageValidationConfig)
config.use_allowlist = True
config.allowlist_path = allowlist_file
config.blocklist_path = blocklist_file
config.require_approval_patterns = [
"^torch.*", # PyTorch packages
"^tensorflow.*", # TensorFlow packages
".*-gpu$", # GPU variants
]
return config
@pytest.fixture
def validator(validation_config):
"""PackageValidator instance."""
return PackageValidator(validation_config)
def test_extract_package_name_simple(validator):
"""Test extracting package name from simple spec."""
assert validator.extract_package_name("numpy") == "numpy"
assert validator.extract_package_name("pandas") == "pandas"
def test_extract_package_name_with_version(validator):
"""Test extracting package name with version specifiers."""
assert validator.extract_package_name("numpy>=1.24.0") == "numpy"
assert validator.extract_package_name("pandas==2.0.0") == "pandas"
assert validator.extract_package_name("requests<=2.28.0") == "requests"
assert validator.extract_package_name("scikit-learn~=1.3.0") == "scikit-learn"
def test_extract_package_name_with_extras(validator):
"""Test extracting package name with extras."""
assert validator.extract_package_name("requests[security]") == "requests"
assert validator.extract_package_name("pandas[excel,sql]") == "pandas"
def test_extract_package_name_complex(validator):
"""Test extracting package name from complex specs."""
assert validator.extract_package_name("numpy>=1.24.0,<2.0.0") == "numpy"
assert validator.extract_package_name("requests[security]>=2.28.0") == "requests"
def test_allowlisted_package_passes(validator):
"""Test that allowlisted packages pass validation."""
validator.validate_package("numpy")
validator.validate_package("pandas>=2.0.0")
validator.validate_package("requests[security]")
# Should not raise
def test_blocklisted_package_raises_error(validator):
"""Test that blocklisted packages raise SecurityError."""
with pytest.raises(SecurityError, match="malicious-package"):
validator.validate_package("malicious-package")
with pytest.raises(SecurityError, match="evil-lib"):
validator.validate_package("evil-lib>=1.0.0")
def test_unknown_package_with_allowlist_raises_error(validator):
"""Test that unknown packages raise error when allowlist is enabled."""
with pytest.raises(SecurityError, match="unknown-package"):
validator.validate_package("unknown-package")
def test_package_requiring_approval_raises_error(validator):
"""Test that packages matching approval patterns raise ApprovalRequiredError."""
with pytest.raises(ApprovalRequiredError, match="torch"):
validator.validate_package("torch")
with pytest.raises(ApprovalRequiredError, match="tensorflow"):
validator.validate_package("tensorflow-gpu")
with pytest.raises(ApprovalRequiredError, match="gpu"):
validator.validate_package("cupy-gpu")
def test_validate_packages_list(validator):
"""Test validating multiple packages at once."""
packages = ["numpy>=1.24.0", "pandas", "requests"]
validator.validate_packages(packages)
# Should not raise
def test_validate_packages_enforces_max_limit(validator):
"""Test that validate_packages enforces maximum package count."""
packages = ["numpy", "pandas", "scipy", "matplotlib"]
with pytest.raises(ValueError, match="Maximum 3 packages"):
validator.validate_packages(packages, max_packages=3)
def test_validate_packages_with_mixed_results(validator):
"""Test that validation stops at first error."""
packages = ["numpy", "malicious-package", "pandas"]
with pytest.raises(SecurityError, match="malicious-package"):
validator.validate_packages(packages)
def test_validate_packages_with_approval_required(validator):
"""Test that validation stops at first approval requirement."""
packages = ["numpy", "torch", "pandas"]
with pytest.raises(ApprovalRequiredError, match="torch"):
validator.validate_packages(packages)
def test_allowlist_loading(allowlist_file):
"""Test that allowlist is loaded correctly from file."""
config = Mock(spec=PackageValidationConfig)
config.use_allowlist = True
config.allowlist_path = allowlist_file
config.blocklist_path = None
config.require_approval_patterns = []
validator = PackageValidator(config)
assert "numpy" in validator.allowlist
assert "pandas" in validator.allowlist
assert "requests" in validator.allowlist
# Comments and empty lines should be ignored
assert "# Standard data science packages" not in validator.allowlist
def test_blocklist_loading(blocklist_file):
"""Test that blocklist is loaded correctly from file."""
config = Mock(spec=PackageValidationConfig)
config.use_allowlist = False
config.allowlist_path = None
config.blocklist_path = blocklist_file
config.require_approval_patterns = []
validator = PackageValidator(config)
assert "malicious-package" in validator.blocklist
assert "evil-lib" in validator.blocklist
def test_disabled_allowlist_allows_all_except_blocklist(blocklist_file):
"""Test that disabling allowlist allows any package except blocklisted."""
config = Mock(spec=PackageValidationConfig)
config.use_allowlist = False
config.allowlist_path = None
config.blocklist_path = blocklist_file
config.require_approval_patterns = []
validator = PackageValidator(config)
# Unknown packages should pass
validator.validate_package("some-random-package")
# But blocklisted packages should still fail
with pytest.raises(SecurityError, match="malicious-package"):
validator.validate_package("malicious-package")
def test_approval_pattern_matching(validator):
"""Test that approval patterns match correctly."""
# torch* should match
with pytest.raises(ApprovalRequiredError):
validator.validate_package("torch")
with pytest.raises(ApprovalRequiredError):
validator.validate_package("torchvision")
# *-gpu$ should match
with pytest.raises(ApprovalRequiredError):
validator.validate_package("something-gpu")
def test_empty_package_list(validator):
"""Test validating empty package list."""
validator.validate_packages([])
# Should not raise
def test_validate_packages_without_max_limit(validator):
"""Test validating many packages without limit."""
packages = [f"package{i}" for i in range(100)]
# Should raise because packages aren't in allowlist
with pytest.raises(SecurityError):
validator.validate_packages(packages)
def test_case_sensitivity(validator):
"""Test that package names are case-sensitive."""
# numpy is in allowlist
validator.validate_package("numpy")
# NumPy (different case) should fail
with pytest.raises(SecurityError, match="NumPy"):
validator.validate_package("NumPy")
def test_whitespace_handling(validator):
"""Test that leading/trailing whitespace is handled."""
validator.validate_package(" numpy ")
validator.validate_package(" pandas>=2.0.0 ")
def test_file_not_found_handling(tmp_path):
"""Test handling of missing allowlist/blocklist files."""
config = Mock(spec=PackageValidationConfig)
config.use_allowlist = True
config.allowlist_path = tmp_path / "nonexistent.txt"
config.blocklist_path = None
config.require_approval_patterns = []
with pytest.raises(FileNotFoundError):
PackageValidator(config)

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"""Tests for UV Package Installer module."""
import pytest
from pathlib import Path
from unittest.mock import Mock, patch, mock_open
import tempfile
import shutil
from mcp_forge.builder.uv_installer import UVInstaller
@pytest.fixture
def cache_path(tmp_path):
"""Temporary cache directory."""
cache_dir = tmp_path / "uv_cache"
return cache_dir
@pytest.fixture
def installer(cache_path):
"""UVInstaller instance."""
return UVInstaller(cache_path)
def test_init_creates_cache_directory(cache_path):
"""Test that __init__ creates cache directory."""
assert not cache_path.exists()
installer = UVInstaller(cache_path)
assert cache_path.exists()
assert cache_path.is_dir()
def test_init_with_existing_cache(cache_path):
"""Test initialization with existing cache directory."""
cache_path.mkdir(parents=True)
installer = UVInstaller(cache_path)
assert cache_path.exists()
def test_generate_requirements_single_package(installer):
"""Test generating requirements.txt with single package."""
packages = ["numpy>=1.24.0"]
requirements = installer.generate_requirements(packages)
assert requirements == "numpy>=1.24.0"
def test_generate_requirements_multiple_packages(installer):
"""Test generating requirements.txt with multiple packages."""
packages = ["numpy>=1.24.0", "pandas==2.0.0", "requests"]
requirements = installer.generate_requirements(packages)
lines = requirements.strip().split('\n')
assert len(lines) == 3
assert "numpy>=1.24.0" in lines
assert "pandas==2.0.0" in lines
assert "requests" in lines
def test_generate_requirements_empty_list(installer):
"""Test generating requirements.txt with empty list."""
packages = []
requirements = installer.generate_requirements(packages)
assert requirements == ""
def test_generate_containerfile_structure(installer):
"""Test Containerfile has correct structure."""
base_image = "docker.io/python:3.11-slim"
packages = ["numpy>=1.24.0", "pandas"]
containerfile = installer.generate_containerfile(base_image, packages)
# Check key sections are present
assert f"FROM {base_image}" in containerfile
assert "pip install" in containerfile and "uv" in containerfile
assert "COPY" in containerfile and "requirements.txt" in containerfile
assert "RUN uv pip install" in containerfile
assert "WORKDIR" in containerfile
def test_generate_containerfile_with_python_version(installer):
"""Test Containerfile generation with specific Python version."""
base_image = "docker.io/python:3.12-slim"
packages = ["numpy"]
containerfile = installer.generate_containerfile(
base_image, packages, python_version="3.12"
)
assert "3.12" in containerfile or "python:3.12" in base_image
def test_generate_containerfile_uses_requirements(installer):
"""Test Containerfile copies and uses requirements.txt."""
base_image = "docker.io/python:3.11-slim"
packages = ["numpy", "pandas"]
containerfile = installer.generate_containerfile(base_image, packages)
# Should copy requirements.txt for layer caching
assert "COPY" in containerfile and "requirements.txt" in containerfile
assert "-r requirements.txt" in containerfile
def test_generate_containerfile_creates_user(installer):
"""Test Containerfile creates non-root user."""
base_image = "docker.io/python:3.11-slim"
packages = ["numpy"]
containerfile = installer.generate_containerfile(base_image, packages)
# Should create user for security
assert "useradd" in containerfile.lower() or "USER" in containerfile
def test_create_build_context_creates_directory(installer):
"""Test that build context directory is created."""
base_image = "docker.io/python:3.11-slim"
packages = ["numpy", "pandas"]
context_path = installer.create_build_context(base_image, packages)
try:
assert context_path.exists()
assert context_path.is_dir()
finally:
if context_path.exists():
shutil.rmtree(context_path)
def test_create_build_context_contains_containerfile(installer):
"""Test that build context contains Containerfile."""
base_image = "docker.io/python:3.11-slim"
packages = ["numpy"]
context_path = installer.create_build_context(base_image, packages)
try:
containerfile_path = context_path / "Containerfile"
assert containerfile_path.exists()
content = containerfile_path.read_text()
assert f"FROM {base_image}" in content
finally:
if context_path.exists():
shutil.rmtree(context_path)
def test_create_build_context_contains_requirements(installer):
"""Test that build context contains requirements.txt."""
base_image = "docker.io/python:3.11-slim"
packages = ["numpy>=1.24.0", "pandas"]
context_path = installer.create_build_context(base_image, packages)
try:
requirements_path = context_path / "requirements.txt"
assert requirements_path.exists()
content = requirements_path.read_text()
assert "numpy>=1.24.0" in content
assert "pandas" in content
finally:
if context_path.exists():
shutil.rmtree(context_path)
def test_create_build_context_returns_temp_directory(installer):
"""Test that build context is in temp directory."""
base_image = "docker.io/python:3.11-slim"
packages = ["numpy"]
context_path = installer.create_build_context(base_image, packages)
try:
# Should be in system temp directory
temp_dir = Path(tempfile.gettempdir())
assert temp_dir in context_path.parents
finally:
if context_path.exists():
shutil.rmtree(context_path)
def test_get_cache_volume_mount_returns_dict(installer):
"""Test cache volume mount returns proper dict."""
mount_config = installer.get_cache_volume_mount()
assert isinstance(mount_config, dict)
assert "bind" in mount_config
assert "mode" in mount_config
assert mount_config["mode"] == "rw"
def test_get_cache_volume_mount_includes_cache_path(installer, cache_path):
"""Test cache volume mount includes cache path."""
mount_config = installer.get_cache_volume_mount()
# The bind target should reference UV cache location
assert "bind" in mount_config
assert "/cache" in mount_config["bind"] or "uv" in mount_config["bind"].lower()
def test_generate_containerfile_security_practices(installer):
"""Test Containerfile follows security best practices."""
base_image = "docker.io/python:3.11-slim"
packages = ["numpy"]
containerfile = installer.generate_containerfile(base_image, packages)
# Should not run as root
assert "USER" in containerfile
# Should set working directory
assert "WORKDIR" in containerfile
def test_generate_requirements_preserves_version_specs(installer):
"""Test that version specifiers are preserved exactly."""
packages = [
"numpy>=1.24.0,<2.0.0",
"pandas==2.0.0",
"requests~=2.28.0",
"scipy!=1.10.0"
]
requirements = installer.generate_requirements(packages)
for package in packages:
assert package in requirements
def test_generate_containerfile_with_extras(installer):
"""Test Containerfile works with package extras."""
base_image = "docker.io/python:3.11-slim"
packages = ["requests[security]>=2.28.0", "pandas[excel]"]
containerfile = installer.generate_containerfile(base_image, packages)
# Should handle extras in requirements
assert "COPY" in containerfile and "requirements.txt" in containerfile
assert "RUN uv pip install" in containerfile
def test_create_build_context_with_custom_python_version(installer):
"""Test build context creation with custom Python version."""
base_image = "docker.io/python:3.12-slim"
packages = ["numpy"]
context_path = installer.create_build_context(
base_image, packages, python_version="3.12"
)
try:
containerfile = (context_path / "Containerfile").read_text()
assert "3.12" in containerfile or "python:3.12" in containerfile
finally:
if context_path.exists():
shutil.rmtree(context_path)
def test_generate_containerfile_optimizes_layer_caching(installer):
"""Test that Containerfile structure optimizes Docker layer caching."""
base_image = "docker.io/python:3.11-slim"
packages = ["numpy", "pandas", "scipy"]
containerfile = installer.generate_containerfile(base_image, packages)
lines = containerfile.split('\n')
# UV install should come before requirements copy
uv_install_idx = None
requirements_idx = None
for i, line in enumerate(lines):
if 'uv' in line.lower() and ('pip install' in line.lower() or 'ADD' in line):
uv_install_idx = i
if 'COPY' in line and 'requirements.txt' in line:
requirements_idx = i
# UV installation should be cached separately
assert uv_install_idx is not None
# Requirements copy should happen for cache busting
assert requirements_idx is not None
def test_empty_packages_list_creates_valid_containerfile(installer):
"""Test that empty package list still creates valid Containerfile."""
base_image = "docker.io/python:3.11-slim"
packages = []
containerfile = installer.generate_containerfile(base_image, packages)
# Should still have base structure
assert f"FROM {base_image}" in containerfile
assert "WORKDIR" in containerfile

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"""
Tests for configuration loader module.
Following TDD approach - these tests are written before implementation.
Tests cover all loading and substitution requirements from todo.md section 1.1.2.
"""
import pytest
import yaml
from pathlib import Path
from pydantic import ValidationError
import os
import tempfile
def test_load_from_valid_yaml_file(tmp_path):
"""Test loading configuration from a valid YAML file."""
from mcp_forge.config.loader import load_config
config_file = tmp_path / "config.yaml"
config_content = """
server:
host: "0.0.0.0"
port: 3000
podman_socket: "/run/user/1000/podman/podman.sock"
execution:
default_backend: "simple"
default_timeout: 300
max_timeout: 1800
default_memory: "512m"
max_memory: "2g"
default_cpu_quota: 50000
max_cpu_quota: 100000
images:
python_3_11: "mcp-forge/python:3.11"
python_3_12: "mcp-forge/python:3.12"
jupyter: "mcp-forge/jupyter:latest"
auto_pull: true
pull_interval: 86400
sessions:
idle_timeout: 3600
max_concurrent: 10
cleanup_interval: 300
volumes:
base_path: "/mcp-forge/volumes"
session_quota: "1g"
max_session_quota: "10g"
security:
audit_log: "/var/log/mcp-forge/audit.log"
enforce_resource_limits: true
allow_network: false
environment_builder:
enabled: true
uv_cache_path: "/var/cache/mcp-forge/uv"
max_packages_per_build: 50
max_build_time: 600
max_image_size: 2147483648
max_concurrent_builds: 3
build_rate_limit: {}
auto_cleanup: {}
templates: {}
package_validation:
use_allowlist: true
allowlist_path: "/etc/mcp-forge/allowlist.txt"
blocklist_path: "/etc/mcp-forge/blocklist.txt"
require_approval_patterns: []
mcp_tools:
git:
command: "uvx"
args: ["mcp-server-git"]
env: {}
"""
config_file.write_text(config_content)
config = load_config(config_file)
assert config.server.host == "0.0.0.0"
assert config.server.port == 3000
assert config.execution.default_backend == "simple"
def test_load_from_non_existent_file_raises_file_not_found_error():
"""Test that loading from non-existent file raises FileNotFoundError."""
from mcp_forge.config.loader import load_config
with pytest.raises(FileNotFoundError):
load_config(Path("/non/existent/config.yaml"))
def test_invalid_yaml_raises_yaml_error(tmp_path):
"""Test that invalid YAML syntax raises YAMLError."""
from mcp_forge.config.loader import load_config
config_file = tmp_path / "config.yaml"
config_file.write_text("""
invalid yaml:
- unmatched [bracket
key without value
""")
with pytest.raises(yaml.YAMLError):
load_config(config_file)
def test_environment_variable_substitution_in_strings(tmp_path, monkeypatch):
"""Test that ${VAR} is replaced with environment variable value."""
from mcp_forge.config.loader import load_config
monkeypatch.setenv("TEST_HOST", "test.example.com")
monkeypatch.setenv("TEST_PORT", "4000")
monkeypatch.setenv("PODMAN_SOCKET", "/run/test/podman.sock")
config_file = tmp_path / "config.yaml"
config_content = """
server:
host: "${TEST_HOST}"
port: ${TEST_PORT}
podman_socket: "${PODMAN_SOCKET}"
execution:
default_backend: "simple"
images: {}
sessions: {}
volumes:
base_path: "/volumes"
security:
audit_log: "/audit.log"
environment_builder:
enabled: true
uv_cache_path: "/cache"
package_validation:
allowlist_path: "/allow.txt"
blocklist_path: "/block.txt"
require_approval_patterns: []
mcp_tools: {}
"""
config_file.write_text(config_content)
config = load_config(config_file)
assert config.server.host == "test.example.com"
assert config.server.port == 4000
assert str(config.server.podman_socket) == "/run/test/podman.sock"
def test_nested_environment_variable_substitution(tmp_path, monkeypatch):
"""Test that environment variable substitution works in nested structures."""
from mcp_forge.config.loader import load_config
monkeypatch.setenv("AUDIT_LOG_PATH", "/var/log/audit.log")
monkeypatch.setenv("UV_CACHE", "/var/cache/uv")
config_file = tmp_path / "config.yaml"
config_content = """
server:
host: "localhost"
port: 3000
podman_socket: "/run/podman.sock"
execution: {}
images: {}
sessions: {}
volumes:
base_path: "/volumes"
security:
audit_log: "${AUDIT_LOG_PATH}"
environment_builder:
enabled: true
uv_cache_path: "${UV_CACHE}"
package_validation:
allowlist_path: "/allow.txt"
blocklist_path: "/block.txt"
require_approval_patterns: []
mcp_tools: {}
"""
config_file.write_text(config_content)
config = load_config(config_file)
assert str(config.security.audit_log) == "/var/log/audit.log"
assert str(config.environment_builder.uv_cache_path) == "/var/cache/uv"
def test_missing_environment_variable_raises_clear_error(tmp_path):
"""Test that missing environment variable raises error with variable name."""
from mcp_forge.config.loader import load_config
config_file = tmp_path / "config.yaml"
config_content = """
server:
host: "${MISSING_VAR}"
port: 3000
podman_socket: "/run/podman.sock"
execution: {}
images: {}
sessions: {}
volumes:
base_path: "/volumes"
security:
audit_log: "/audit.log"
environment_builder:
enabled: true
uv_cache_path: "/cache"
package_validation:
allowlist_path: "/allow.txt"
blocklist_path: "/block.txt"
require_approval_patterns: []
mcp_tools: {}
"""
config_file.write_text(config_content)
with pytest.raises(ValueError) as exc_info:
load_config(config_file)
assert "MISSING_VAR" in str(exc_info.value)
def test_load_config_from_dict():
"""Test loading configuration from dictionary (for testing)."""
from mcp_forge.config.loader import load_config_from_dict
config_dict = {
"server": {
"host": "localhost",
"port": 3000,
"podman_socket": "/run/podman.sock"
},
"execution": {},
"images": {},
"sessions": {},
"volumes": {"base_path": "/volumes"},
"security": {"audit_log": "/audit.log"},
"environment_builder": {
"enabled": True,
"uv_cache_path": "/cache",
"package_validation": {
"allowlist_path": "/allow.txt",
"blocklist_path": "/block.txt",
"require_approval_patterns": []
}
},
"mcp_tools": {}
}
config = load_config_from_dict(config_dict)
assert config.server.host == "localhost"
assert config.server.port == 3000
def test_load_config_from_dict_with_env_var_substitution(monkeypatch):
"""Test that load_config_from_dict also performs env var substitution."""
from mcp_forge.config.loader import load_config_from_dict
monkeypatch.setenv("TEST_HOST", "example.com")
config_dict = {
"server": {
"host": "${TEST_HOST}",
"port": 3000,
"podman_socket": "/run/podman.sock"
},
"execution": {},
"images": {},
"sessions": {},
"volumes": {"base_path": "/volumes"},
"security": {"audit_log": "/audit.log"},
"environment_builder": {
"enabled": True,
"uv_cache_path": "/cache",
"package_validation": {
"allowlist_path": "/allow.txt",
"blocklist_path": "/block.txt",
"require_approval_patterns": []
}
},
"mcp_tools": {}
}
config = load_config_from_dict(config_dict)
assert config.server.host == "example.com"
def test_partial_configuration_uses_defaults(tmp_path):
"""Test that missing configuration sections use schema defaults."""
from mcp_forge.config.loader import load_config
config_file = tmp_path / "config.yaml"
config_content = """
server:
host: "localhost"
port: 3000
podman_socket: "/run/podman.sock"
execution: {}
images: {}
sessions: {}
volumes:
base_path: "/volumes"
security:
audit_log: "/audit.log"
environment_builder:
enabled: true
uv_cache_path: "/cache"
package_validation:
allowlist_path: "/allow.txt"
blocklist_path: "/block.txt"
require_approval_patterns: []
mcp_tools: {}
"""
config_file.write_text(config_content)
config = load_config(config_file)
# Check defaults from ExecutionConfig
assert config.execution.default_backend == "simple"
assert config.execution.default_timeout == 300
assert config.execution.max_timeout == 1800
# Check defaults from ImageConfig
assert config.images.python_3_11 == "mcp-forge/python:3.11"
assert config.images.auto_pull is True
def test_substitute_env_vars_recursive():
"""Test that substitute_env_vars works recursively on nested structures."""
from mcp_forge.config.loader import substitute_env_vars
import os
os.environ["TEST_VALUE"] = "substituted"
data = {
"simple": "${TEST_VALUE}",
"nested": {
"deep": "${TEST_VALUE}",
"list": ["${TEST_VALUE}", "plain"]
}
}
result = substitute_env_vars(data)
assert result["simple"] == "substituted"
assert result["nested"]["deep"] == "substituted"
assert result["nested"]["list"][0] == "substituted"
assert result["nested"]["list"][1] == "plain"
def test_substitute_env_vars_with_integer_conversion(monkeypatch):
"""Test that numeric strings in env vars can be converted to integers."""
from mcp_forge.config.loader import substitute_env_vars
monkeypatch.setenv("PORT_NUM", "8080")
data = {
"port": "${PORT_NUM}"
}
result = substitute_env_vars(data)
# Should still be a string after substitution; type conversion handled by Pydantic
assert result["port"] == "8080"
def test_no_eval_or_exec_in_substitution():
"""Test that no eval() or exec() is used - only safe string substitution."""
from mcp_forge.config.loader import substitute_env_vars
import os
# Try to inject malicious code - should be treated as literal string
os.environ["MALICIOUS"] = "__import__('os').system('echo hacked')"
data = {
"value": "${MALICIOUS}"
}
result = substitute_env_vars(data)
# Should be the literal string, not executed
assert result["value"] == "__import__('os').system('echo hacked')"
# And it should NOT have been executed (we can't test side effects easily,
# but the substitution logic shouldn't use eval/exec)
def test_env_var_with_special_characters(monkeypatch):
"""Test that environment variables with special characters are handled correctly."""
from mcp_forge.config.loader import substitute_env_vars
monkeypatch.setenv("SPECIAL_PATH", "/path/with-dashes_and_underscores/123")
data = {
"path": "${SPECIAL_PATH}"
}
result = substitute_env_vars(data)
assert result["path"] == "/path/with-dashes_and_underscores/123"
def test_multiple_env_vars_in_single_string(monkeypatch):
"""Test that multiple environment variables can be substituted in one string."""
from mcp_forge.config.loader import substitute_env_vars
monkeypatch.setenv("BASE_PATH", "/opt/mcp-forge")
monkeypatch.setenv("SUBDIR", "logs")
data = {
"log_path": "${BASE_PATH}/${SUBDIR}/audit.log"
}
result = substitute_env_vars(data)
assert result["log_path"] == "/opt/mcp-forge/logs/audit.log"

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"""Tests for MCPToolConfig schema with HTTP/SSE transport."""
import pytest
from pydantic import ValidationError
from mcp_forge.config.schema import MCPToolConfig
def test_stdio_transport_config_valid():
"""Test valid stdio transport configuration."""
config = MCPToolConfig(
transport="stdio",
command="python",
args=["-m", "server"],
env={"KEY": "value"}
)
assert config.transport == "stdio"
assert config.command == "python"
assert config.args == ["-m", "server"]
assert config.env == {"KEY": "value"}
def test_http_transport_config_valid():
"""Test valid HTTP transport configuration."""
config = MCPToolConfig(
transport="http",
url="http://localhost:8006/mcp",
headers={"Authorization": "Bearer token"}
)
assert config.transport == "http"
assert config.url == "http://localhost:8006/mcp"
assert config.headers == {"Authorization": "Bearer token"}
def test_sse_transport_config_valid():
"""Test valid SSE transport configuration."""
config = MCPToolConfig(
transport="sse",
url="http://localhost:9000/events",
headers={"X-Custom": "value"}
)
assert config.transport == "sse"
assert config.url == "http://localhost:9000/events"
assert config.headers == {"X-Custom": "value"}
def test_stdio_without_command_invalid():
"""Test that stdio transport requires command."""
with pytest.raises(ValidationError, match="command is required for stdio transport"):
MCPToolConfig(
transport="stdio",
args=["-m", "server"]
)
def test_http_without_url_invalid():
"""Test that HTTP transport requires URL."""
with pytest.raises(ValidationError, match="url is required for http transport"):
MCPToolConfig(
transport="http",
headers={"Authorization": "Bearer token"}
)
def test_sse_without_url_invalid():
"""Test that SSE transport requires URL."""
with pytest.raises(ValidationError, match="url is required for sse transport"):
MCPToolConfig(
transport="sse",
headers={"X-Custom": "value"}
)
def test_default_transport_is_stdio():
"""Test that default transport is stdio."""
config = MCPToolConfig(
command="python",
args=["-m", "server"]
)
assert config.transport == "stdio"
def test_http_config_with_empty_headers():
"""Test HTTP config with no headers."""
config = MCPToolConfig(
transport="http",
url="http://localhost:8006/mcp"
)
assert config.headers == {}
def test_stdio_config_with_empty_env():
"""Test stdio config with no env vars."""
config = MCPToolConfig(
transport="stdio",
command="python"
)
assert config.env == {}
assert config.args == []
def test_invalid_transport_type():
"""Test that invalid transport type is rejected."""
with pytest.raises(ValidationError):
MCPToolConfig(
transport="invalid",
command="python"
)
def test_stdio_config_minimal():
"""Test minimal stdio config with just command."""
config = MCPToolConfig(
command="python"
)
assert config.transport == "stdio"
assert config.command == "python"
assert config.args == []
assert config.env == {}
def test_http_config_with_multiple_headers():
"""Test HTTP config with multiple headers."""
config = MCPToolConfig(
transport="http",
url="http://localhost:8006/mcp",
headers={
"Authorization": "Bearer token123",
"X-Custom-Header": "value",
"Content-Type": "application/json"
}
)
assert len(config.headers) == 3
assert config.headers["Authorization"] == "Bearer token123"

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"""
Tests for configuration schema module.
Following TDD approach - these tests are written before implementation.
Tests cover all validation requirements from todo.md section 1.1.1.
"""
import pytest
from pathlib import Path
from pydantic import ValidationError
def test_valid_server_config_loads_successfully():
"""Test that a valid ServerConfig loads without errors."""
from mcp_forge.config.schema import ServerConfig
config = ServerConfig(
host="0.0.0.0",
port=3000,
podman_socket=Path("/run/user/1000/podman/podman.sock")
)
assert config.host == "0.0.0.0"
assert config.port == 3000
assert config.podman_socket == Path("/run/user/1000/podman/podman.sock")
def test_server_config_invalid_port_raises_validation_error():
"""Test that invalid port numbers raise ValidationError."""
from mcp_forge.config.schema import ServerConfig
# Port too high
with pytest.raises(ValidationError) as exc_info:
ServerConfig(
host="localhost",
port=70000,
podman_socket=Path("/run/podman.sock")
)
assert "port" in str(exc_info.value).lower()
# Port too low
with pytest.raises(ValidationError) as exc_info:
ServerConfig(
host="localhost",
port=0,
podman_socket=Path("/run/podman.sock")
)
assert "port" in str(exc_info.value).lower()
# Negative port
with pytest.raises(ValidationError) as exc_info:
ServerConfig(
host="localhost",
port=-1,
podman_socket=Path("/run/podman.sock")
)
assert "port" in str(exc_info.value).lower()
def test_execution_config_defaults_are_applied():
"""Test that ExecutionConfig has correct default values."""
from mcp_forge.config.schema import ExecutionConfig
config = ExecutionConfig()
assert config.default_backend == "simple"
assert config.default_timeout == 300
assert config.max_timeout == 1800
assert config.default_memory == "512m"
assert config.max_memory == "2g"
assert config.default_cpu_quota == 50000
assert config.max_cpu_quota == 100000
def test_execution_config_max_timeout_validation():
"""Test that max_timeout must be >= default_timeout."""
from mcp_forge.config.schema import ExecutionConfig
# Valid: max >= default
config = ExecutionConfig(default_timeout=300, max_timeout=600)
assert config.max_timeout == 600
# Invalid: max < default
with pytest.raises(ValidationError) as exc_info:
ExecutionConfig(default_timeout=600, max_timeout=300)
assert "max_timeout" in str(exc_info.value).lower()
def test_image_config_defaults():
"""Test ImageConfig default values."""
from mcp_forge.config.schema import ImageConfig
config = ImageConfig()
assert config.python_3_11 == "mcp-forge/python:3.11"
assert config.python_3_12 == "mcp-forge/python:3.12"
assert config.jupyter == "mcp-forge/jupyter:latest"
assert config.auto_pull is True
assert config.pull_interval == 86400
def test_session_config_defaults():
"""Test SessionConfig default values."""
from mcp_forge.config.schema import SessionConfig
config = SessionConfig()
assert config.idle_timeout == 3600
assert config.max_concurrent == 10
assert config.cleanup_interval == 300
def test_volume_config_with_base_path():
"""Test VolumeConfig with required base_path."""
from mcp_forge.config.schema import VolumeConfig
config = VolumeConfig(base_path=Path("/mcp-forge/volumes"))
assert config.base_path == Path("/mcp-forge/volumes")
assert config.session_quota == "1g"
assert config.max_session_quota == "10g"
def test_security_config_defaults():
"""Test SecurityConfig default values."""
from mcp_forge.config.schema import SecurityConfig
config = SecurityConfig(audit_log=Path("/var/log/mcp-forge/audit.log"))
assert config.audit_log == Path("/var/log/mcp-forge/audit.log")
assert config.enforce_resource_limits is True
assert config.allow_network is False
def test_package_validation_config():
"""Test PackageValidationConfig structure."""
from mcp_forge.config.schema import PackageValidationConfig
config = PackageValidationConfig(
use_allowlist=True,
allowlist_path=Path("/etc/mcp-forge/allowlist.txt"),
blocklist_path=Path("/etc/mcp-forge/blocklist.txt"),
require_approval_patterns=["*crypto*", "*network*"]
)
assert config.use_allowlist is True
assert config.allowlist_path == Path("/etc/mcp-forge/allowlist.txt")
assert config.blocklist_path == Path("/etc/mcp-forge/blocklist.txt")
assert "*crypto*" in config.require_approval_patterns
def test_environment_builder_config():
"""Test EnvironmentBuilderConfig structure and defaults."""
from mcp_forge.config.schema import EnvironmentBuilderConfig, PackageValidationConfig
pkg_validation = PackageValidationConfig(
use_allowlist=True,
allowlist_path=Path("/etc/allowlist.txt"),
blocklist_path=Path("/etc/blocklist.txt"),
require_approval_patterns=[]
)
config = EnvironmentBuilderConfig(
enabled=True,
uv_cache_path=Path("/var/cache/mcp-forge/uv"),
package_validation=pkg_validation
)
assert config.enabled is True
assert config.uv_cache_path == Path("/var/cache/mcp-forge/uv")
assert config.max_packages_per_build == 50
assert config.max_build_time == 600
assert config.max_image_size == 2147483648
assert config.max_concurrent_builds == 3
def test_mcp_tool_config():
"""Test MCPToolConfig structure."""
from mcp_forge.config.schema import MCPToolConfig
config = MCPToolConfig(
command="uvx",
args=["mcp-server-git"],
env={"GIT_AUTHOR": "test"}
)
assert config.command == "uvx"
assert config.args == ["mcp-server-git"]
assert config.env == {"GIT_AUTHOR": "test"}
def test_mcp_tool_config_empty_env_defaults():
"""Test MCPToolConfig with empty env defaults to empty dict."""
from mcp_forge.config.schema import MCPToolConfig
config = MCPToolConfig(command="test", args=[])
assert config.env == {}
def test_forge_config_full_structure():
"""Test complete ForgeConfig with all nested structures."""
from mcp_forge.config.schema import (
ForgeConfig, ServerConfig, ExecutionConfig, ImageConfig,
SessionConfig, VolumeConfig, SecurityConfig,
EnvironmentBuilderConfig, PackageValidationConfig, MCPToolConfig
)
pkg_validation = PackageValidationConfig(
use_allowlist=True,
allowlist_path=Path("/etc/allowlist.txt"),
blocklist_path=Path("/etc/blocklist.txt"),
require_approval_patterns=[]
)
config = ForgeConfig(
server=ServerConfig(
host="localhost",
port=3000,
podman_socket=Path("/run/podman.sock")
),
execution=ExecutionConfig(),
images=ImageConfig(),
sessions=SessionConfig(),
volumes=VolumeConfig(base_path=Path("/mcp-forge/volumes")),
security=SecurityConfig(audit_log=Path("/var/log/audit.log")),
environment_builder=EnvironmentBuilderConfig(
enabled=True,
uv_cache_path=Path("/var/cache/uv"),
package_validation=pkg_validation
),
mcp_tools={
"git": MCPToolConfig(command="uvx", args=["mcp-server-git"])
}
)
assert config.server.host == "localhost"
assert config.execution.default_backend == "simple"
assert config.images.python_3_11 == "mcp-forge/python:3.11"
assert config.sessions.max_concurrent == 10
assert config.volumes.base_path == Path("/mcp-forge/volumes")
assert config.security.enforce_resource_limits is True
assert config.environment_builder.enabled is True
assert "git" in config.mcp_tools
def test_nested_configuration_validation_error_includes_field_path():
"""Test that ValidationError for nested config includes full field path."""
from mcp_forge.config.schema import ForgeConfig, ServerConfig
with pytest.raises(ValidationError) as exc_info:
ForgeConfig(
server=ServerConfig(
host="localhost",
port=99999, # Invalid port
podman_socket=Path("/run/podman.sock")
),
execution={},
images={},
sessions={},
volumes={"base_path": "/volumes"},
security={"audit_log": "/audit.log"},
environment_builder={
"uv_cache_path": "/cache",
"package_validation": {
"allowlist_path": "/allow.txt",
"blocklist_path": "/block.txt",
"require_approval_patterns": []
}
},
mcp_tools={}
)
error_str = str(exc_info.value)
# Should include nested path like "server.port"
assert "port" in error_str.lower()
def test_execution_config_backend_literal_validation():
"""Test that default_backend only accepts 'simple' or 'jupyter'."""
from mcp_forge.config.schema import ExecutionConfig
# Valid values
config1 = ExecutionConfig(default_backend="simple")
assert config1.default_backend == "simple"
config2 = ExecutionConfig(default_backend="jupyter")
assert config2.default_backend == "jupyter"
# Invalid value
with pytest.raises(ValidationError) as exc_info:
ExecutionConfig(default_backend="invalid")
assert "default_backend" in str(exc_info.value).lower()
def test_environment_builder_config_rate_limit_dict():
"""Test that EnvironmentBuilderConfig accepts rate_limit dict."""
from mcp_forge.config.schema import EnvironmentBuilderConfig, PackageValidationConfig
pkg_validation = PackageValidationConfig(
use_allowlist=True,
allowlist_path=Path("/allow.txt"),
blocklist_path=Path("/block.txt"),
require_approval_patterns=[]
)
config = EnvironmentBuilderConfig(
enabled=True,
uv_cache_path=Path("/cache"),
package_validation=pkg_validation,
build_rate_limit={"max_requests": 10, "period_seconds": 3600}
)
assert config.build_rate_limit == {"max_requests": 10, "period_seconds": 3600}
def test_environment_builder_config_auto_cleanup_dict():
"""Test that EnvironmentBuilderConfig accepts auto_cleanup dict."""
from mcp_forge.config.schema import EnvironmentBuilderConfig, PackageValidationConfig
pkg_validation = PackageValidationConfig(
use_allowlist=True,
allowlist_path=Path("/allow.txt"),
blocklist_path=Path("/block.txt"),
require_approval_patterns=[]
)
config = EnvironmentBuilderConfig(
enabled=True,
uv_cache_path=Path("/cache"),
package_validation=pkg_validation,
auto_cleanup={"enabled": True, "max_age_days": 30}
)
assert config.auto_cleanup == {"enabled": True, "max_age_days": 30}
def test_environment_builder_config_templates_dict():
"""Test that EnvironmentBuilderConfig accepts templates dict."""
from mcp_forge.config.schema import EnvironmentBuilderConfig, PackageValidationConfig
pkg_validation = PackageValidationConfig(
use_allowlist=True,
allowlist_path=Path("/allow.txt"),
blocklist_path=Path("/block.txt"),
require_approval_patterns=[]
)
config = EnvironmentBuilderConfig(
enabled=True,
uv_cache_path=Path("/cache"),
package_validation=pkg_validation,
templates={
"data-science": {"packages": ["numpy", "pandas", "matplotlib"]},
"web": {"packages": ["fastapi", "uvicorn"]}
}
)
assert "data-science" in config.templates
assert "web" in config.templates
assert config.templates["data-science"]["packages"] == ["numpy", "pandas", "matplotlib"]
def test_config_constraint_validation_memory_strings():
"""Test that config validates memory strings are comparable."""
from mcp_forge.config.schema import ExecutionConfig
# This should succeed - just testing structure, not actual parsing yet
config = ExecutionConfig(
default_memory="512m",
max_memory="2g"
)
assert config.default_memory == "512m"
assert config.max_memory == "2g"
def test_mcp_tool_config_list_of_args():
"""Test MCPToolConfig args is a list."""
from mcp_forge.config.schema import MCPToolConfig
config = MCPToolConfig(
command="python",
args=["-m", "mymodule", "--flag"]
)
assert isinstance(config.args, list)
assert config.args == ["-m", "mymodule", "--flag"]
def test_package_validation_require_approval_patterns_list():
"""Test PackageValidationConfig require_approval_patterns is a list."""
from mcp_forge.config.schema import PackageValidationConfig
config = PackageValidationConfig(
use_allowlist=False,
allowlist_path=Path("/allow.txt"),
blocklist_path=Path("/block.txt"),
require_approval_patterns=["*crypto*", "*security*", "paramiko"]
)
assert isinstance(config.require_approval_patterns, list)
assert len(config.require_approval_patterns) == 3

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"""Tests for Jupyter Backend module."""
import pytest
from unittest.mock import Mock, MagicMock, patch
from pathlib import Path
from mcp_forge.execution.jupyter.backend import JupyterBackend
from mcp_forge.execution.jupyter.sessions import SessionManager, Session, SessionState
from mcp_forge.execution.simple.executor import ExecutionResult
from mcp_forge.config.schema import ForgeConfig, ExecutionConfig, ImageConfig, SessionConfig
from mcp_forge.podman.containers import SecureContainerManager
from mcp_forge.security.audit import AuditLogger
from mcp_forge.security.resource_limits import ResourceLimits
@pytest.fixture
def mock_config():
"""Mock ForgeConfig with execution settings."""
config = Mock(spec=ForgeConfig)
# Execution configuration
config.execution = Mock(spec=ExecutionConfig)
config.execution.default_timeout = 300
config.execution.max_timeout = 1800
config.execution.default_memory = "512m"
config.execution.max_memory = "2g"
config.execution.default_cpu_quota = 50000
config.execution.max_cpu_quota = 100000
# Image configuration
config.images = Mock(spec=ImageConfig)
config.images.jupyter = "mcp-forge/jupyter:latest"
# Session configuration
config.sessions = Mock(spec=SessionConfig)
config.sessions.idle_timeout = 3600
config.sessions.max_concurrent = 10
config.sessions.cleanup_interval = 300
return config
@pytest.fixture
def mock_container_manager():
"""Mock SecureContainerManager."""
return Mock(spec=SecureContainerManager)
@pytest.fixture
def mock_audit_logger():
"""Mock AuditLogger."""
return Mock(spec=AuditLogger)
@pytest.fixture
def mock_session_manager():
"""Mock SessionManager."""
return Mock(spec=SessionManager)
@pytest.fixture
def backend(mock_config, mock_container_manager, mock_audit_logger):
"""JupyterBackend instance with mocked dependencies."""
with patch('mcp_forge.execution.jupyter.backend.SessionManager') as mock_sm_class:
mock_session_manager = Mock(spec=SessionManager)
mock_sm_class.return_value = mock_session_manager
backend = JupyterBackend(
config=mock_config,
container_manager=mock_container_manager,
audit_logger=mock_audit_logger
)
backend.session_manager = mock_session_manager
return backend
def test_backend_initializes_session_manager(mock_config, mock_container_manager, mock_audit_logger):
"""Test backend creates SessionManager on initialization."""
with patch('mcp_forge.execution.jupyter.backend.SessionManager') as mock_sm_class:
with patch('mcp_forge.execution.jupyter.backend.JupyterKernelManager') as mock_km_class:
mock_session_manager = Mock(spec=SessionManager)
mock_sm_class.return_value = mock_session_manager
backend = JupyterBackend(
config=mock_config,
container_manager=mock_container_manager,
audit_logger=mock_audit_logger
)
# Verify kernel manager was created
mock_km_class.assert_called_once()
# Verify session manager was created
mock_sm_class.assert_called_once()
def test_execute_creates_session_if_not_exists(backend):
"""Test execute creates new session if it doesn't exist."""
# Mock get_session to raise SessionError (session doesn't exist)
from mcp_forge.execution.jupyter.sessions import SessionError
backend.session_manager.get_session.side_effect = SessionError("Session not found")
# Mock create_session
mock_session = Mock(spec=Session)
backend.session_manager.create_session.return_value = mock_session
# Mock execute_in_session
mock_result = ExecutionResult(
success=True,
stdout="Hello",
stderr="",
result="Hello",
execution_time=0.1,
exit_code=0
)
backend.session_manager.execute_in_session.return_value = mock_result
result = backend.execute("print('Hello')", session_id="test-session")
# Verify session was created
backend.session_manager.create_session.assert_called_once()
# Verify execution happened
backend.session_manager.execute_in_session.assert_called_once_with(
session_id="test-session", code="print('Hello')", timeout=300
)
assert result.success is True
def test_execute_reuses_existing_session(backend):
"""Test execute reuses existing session."""
# Mock get_session to return existing session
mock_session = Mock(spec=Session)
backend.session_manager.get_session.return_value = mock_session
# Mock execute_in_session
mock_result = ExecutionResult(
success=True,
stdout="42",
stderr="",
result=42,
execution_time=0.1,
exit_code=0
)
backend.session_manager.execute_in_session.return_value = mock_result
result = backend.execute("21 + 21", session_id="existing-session")
# Verify session was NOT created
backend.session_manager.create_session.assert_not_called()
# Verify session was checked
backend.session_manager.get_session.assert_called_once_with("existing-session")
# Verify execution happened
backend.session_manager.execute_in_session.assert_called_once()
assert result.result == 42
def test_execute_with_custom_timeout(backend):
"""Test execute respects custom timeout parameter."""
# Mock existing session
mock_session = Mock(spec=Session)
backend.session_manager.get_session.return_value = mock_session
mock_result = ExecutionResult(
success=True,
stdout="",
stderr="",
result=None,
execution_time=0.1,
exit_code=0
)
backend.session_manager.execute_in_session.return_value = mock_result
backend.execute("pass", session_id="test", timeout=600)
# Verify timeout was passed through
backend.session_manager.execute_in_session.assert_called_once_with(
session_id="test", code="pass", timeout=600
)
def test_execute_with_custom_memory(backend, mock_config):
"""Test execute creates session with custom memory limit."""
from mcp_forge.execution.jupyter.sessions import SessionError
backend.session_manager.get_session.side_effect = SessionError("Not found")
mock_session = Mock(spec=Session)
backend.session_manager.create_session.return_value = mock_session
mock_result = ExecutionResult(
success=True,
stdout="",
stderr="",
result=None,
execution_time=0.1,
exit_code=0
)
backend.session_manager.execute_in_session.return_value = mock_result
backend.execute("pass", session_id="test", memory="1g")
# Verify session was created with custom memory
backend.session_manager.create_session.assert_called_once()
call_args = backend.session_manager.create_session.call_args
resource_limits = call_args[1]['resource_limits']
assert resource_limits.memory_bytes == 1024 * 1024 * 1024 # 1g in bytes
def test_execute_with_custom_cpu_quota(backend):
"""Test execute creates session with custom CPU quota."""
from mcp_forge.execution.jupyter.sessions import SessionError
backend.session_manager.get_session.side_effect = SessionError("Not found")
mock_session = Mock(spec=Session)
backend.session_manager.create_session.return_value = mock_session
mock_result = ExecutionResult(
success=True,
stdout="",
stderr="",
result=None,
execution_time=0.1,
exit_code=0
)
backend.session_manager.execute_in_session.return_value = mock_result
backend.execute("pass", session_id="test", cpu_quota=75000)
# Verify session was created with custom CPU quota
backend.session_manager.create_session.assert_called_once()
call_args = backend.session_manager.create_session.call_args
resource_limits = call_args[1]['resource_limits']
assert resource_limits.cpu_quota == 75000
def test_execute_validates_timeout_against_max(backend, mock_config):
"""Test execute rejects timeout exceeding maximum."""
mock_config.execution.max_timeout = 1800
with pytest.raises(ValueError, match="Timeout 3600 exceeds maximum"):
backend.execute("pass", session_id="test", timeout=3600)
def test_execute_validates_memory_against_max(backend, mock_config):
"""Test execute rejects memory exceeding maximum."""
mock_config.execution.max_memory = "2g"
with pytest.raises(ValueError, match="Memory 4g exceeds maximum"):
backend.execute("pass", session_id="test", memory="4g")
def test_execute_validates_cpu_quota_against_max(backend, mock_config):
"""Test execute rejects CPU quota exceeding maximum."""
mock_config.execution.max_cpu_quota = 100000
with pytest.raises(ValueError, match="CPU quota 150000 exceeds maximum"):
backend.execute("pass", session_id="test", cpu_quota=150000)
def test_execute_with_volumes(backend):
"""Test execute passes volumes to session creation."""
from mcp_forge.execution.jupyter.sessions import SessionError
backend.session_manager.get_session.side_effect = SessionError("Not found")
mock_session = Mock(spec=Session)
backend.session_manager.create_session.return_value = mock_session
mock_result = ExecutionResult(
success=True,
stdout="",
stderr="",
result=None,
execution_time=0.1,
exit_code=0
)
backend.session_manager.execute_in_session.return_value = mock_result
volumes = {"/host/path": {"bind": "/container/path", "mode": "ro"}}
backend.execute("pass", session_id="test", volumes=volumes)
# Verify volumes were passed to create_session
backend.session_manager.create_session.assert_called_once()
call_args = backend.session_manager.create_session.call_args
assert call_args[1]['volumes'] == volumes
def test_document_state(backend):
"""Test document_state delegates to session manager."""
variables = {"x": "Input data", "y": "Output result"}
note = "Initial data load"
backend.document_state("test-session", variables, note=note, clear=False)
backend.session_manager.document_state.assert_called_once_with(
session_id="test-session", variables=variables, note=note, clear=False
)
def test_document_state_with_clear(backend):
"""Test document_state with clear flag."""
variables = {"new_var": "New data"}
backend.document_state("test-session", variables, clear=True)
backend.session_manager.document_state.assert_called_once_with(
session_id="test-session", variables=variables, note="", clear=True
)
def test_get_session_state(backend):
"""Test get_session_state delegates to session manager."""
mock_state = Mock(spec=SessionState)
backend.session_manager.get_session_state.return_value = mock_state
state = backend.get_session_state("test-session")
backend.session_manager.get_session_state.assert_called_once_with("test-session")
assert state == mock_state
def test_destroy_session(backend):
"""Test destroy_session delegates to session manager."""
backend.destroy_session("test-session")
backend.session_manager.destroy_session.assert_called_once_with("test-session")
def test_list_sessions(backend):
"""Test list_sessions delegates to session manager."""
mock_sessions = [
{"session_id": "session1", "kernel_id": "kernel1"},
{"session_id": "session2", "kernel_id": "kernel2"}
]
backend.session_manager.list_sessions.return_value = mock_sessions
sessions = backend.list_sessions()
backend.session_manager.list_sessions.assert_called_once()
assert sessions == mock_sessions
def test_cleanup_idle_sessions(backend):
"""Test cleanup_idle_sessions delegates to session manager."""
backend.session_manager.cleanup_idle_sessions.return_value = 2
count = backend.cleanup_idle_sessions()
backend.session_manager.cleanup_idle_sessions.assert_called_once()
assert count == 2
def test_default_resource_limits_from_config(mock_config, mock_container_manager, mock_audit_logger):
"""Test _default_resource_limits creates limits from config."""
with patch('mcp_forge.execution.jupyter.backend.SessionManager'):
backend = JupyterBackend(
config=mock_config,
container_manager=mock_container_manager,
audit_logger=mock_audit_logger
)
limits = backend._default_resource_limits()
assert limits.memory_bytes == 512 * 1024 * 1024 # 512m
assert limits.cpu_quota == 50000
assert limits.timeout == 300
def test_execute_logs_audit_event(backend):
"""Test execute logs audit event."""
# Mock existing session
mock_session = Mock(spec=Session)
backend.session_manager.get_session.return_value = mock_session
mock_result = ExecutionResult(
success=True,
stdout="",
stderr="",
result=None,
execution_time=0.1,
exit_code=0
)
backend.session_manager.execute_in_session.return_value = mock_result
backend.execute("print('test')", session_id="test-session")
# Verify audit log was called
backend.audit_logger.log.assert_called()
def test_execute_with_defaults_uses_config_values(backend, mock_config):
"""Test execute without parameters uses config defaults."""
from mcp_forge.execution.jupyter.sessions import SessionError
backend.session_manager.get_session.side_effect = SessionError("Not found")
mock_session = Mock(spec=Session)
backend.session_manager.create_session.return_value = mock_session
mock_result = ExecutionResult(
success=True,
stdout="",
stderr="",
result=None,
execution_time=0.1,
exit_code=0
)
backend.session_manager.execute_in_session.return_value = mock_result
backend.execute("pass", session_id="test")
# Verify default values from config were used
call_args = backend.session_manager.create_session.call_args
resource_limits = call_args[1]['resource_limits']
assert resource_limits.memory_bytes == 512 * 1024 * 1024
assert resource_limits.cpu_quota == 50000
call_args = backend.session_manager.execute_in_session.call_args
assert call_args[1]['timeout'] == 300

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"""Tests for the Jupyter Kernel Manager module."""
import pytest
from unittest.mock import Mock, MagicMock, patch
from datetime import datetime, timedelta
from pathlib import Path
from mcp_forge.execution.jupyter.kernel import (
JupyterKernelManager,
KernelInfo,
KernelError
)
from mcp_forge.podman.containers import SecureContainerManager
from mcp_forge.security.resource_limits import ResourceLimits
from mcp_forge.execution.simple.executor import ExecutionResult
@pytest.fixture
def resource_limits():
"""Standard resource limits for testing."""
return ResourceLimits(
memory="512m",
cpu_quota=50000,
storage="1g",
timeout=300
)
@pytest.fixture
def mock_container_manager():
"""Mock SecureContainerManager."""
manager = Mock(spec=SecureContainerManager)
manager.create_container.return_value = "test-container-123"
manager.start_container.return_value = None
manager.stop_container.return_value = None
manager.remove_container.return_value = None
manager.get_container_logs.return_value = ("", "")
return manager
@pytest.fixture
def kernel_manager(mock_container_manager, resource_limits):
"""JupyterKernelManager instance with mocked dependencies."""
return JupyterKernelManager(
container_manager=mock_container_manager,
image="mcp-forge/jupyter:latest",
resource_limits=resource_limits
)
def test_start_kernel_creates_container(kernel_manager, mock_container_manager):
"""Test start_kernel creates and starts a container."""
kernel_id = kernel_manager.start_kernel("session-1")
assert kernel_id is not None
assert kernel_id.startswith("kernel-")
# Verify container was created and started
mock_container_manager.create_container.assert_called_once()
mock_container_manager.start_container.assert_called_once()
def test_start_kernel_returns_kernel_info(kernel_manager):
"""Test start_kernel returns valid kernel info."""
kernel_id = kernel_manager.start_kernel("session-1")
# Kernel should be registered
assert kernel_id in kernel_manager.kernels
kernel_info = kernel_manager.kernels[kernel_id]
assert kernel_info.kernel_id == kernel_id
assert kernel_info.container_id == "test-container-123"
assert kernel_info.session_id == "session-1"
assert isinstance(kernel_info.started_at, datetime)
def test_execute_code_in_kernel_returns_result(kernel_manager):
"""Test execute_code runs code and returns result."""
kernel_id = kernel_manager.start_kernel("session-1")
result = kernel_manager.execute_code(kernel_id, "2 + 2")
assert isinstance(result, ExecutionResult)
assert result.success is True
def test_execute_code_with_nonexistent_kernel_raises_error(kernel_manager):
"""Test execute_code raises error for nonexistent kernel."""
with pytest.raises(KernelError, match="Kernel.*not found"):
kernel_manager.execute_code("nonexistent-kernel", "pass")
def test_execute_code_preserves_namespace(kernel_manager):
"""Test namespace persists between executions."""
kernel_id = kernel_manager.start_kernel("session-1")
# Set a variable
result1 = kernel_manager.execute_code(kernel_id, "x = 42")
assert result1.success is True
# Access the variable
result2 = kernel_manager.execute_code(kernel_id, "x")
assert result2.success is True
# In real implementation, result2.result would be 42
def test_shutdown_kernel_removes_container(kernel_manager, mock_container_manager):
"""Test shutdown_kernel cleans up container."""
kernel_id = kernel_manager.start_kernel("session-1")
kernel_manager.shutdown_kernel(kernel_id)
# Verify container was stopped and removed
mock_container_manager.stop_container.assert_called_once_with("test-container-123", timeout=10)
mock_container_manager.remove_container.assert_called_once_with("test-container-123")
# Kernel should be removed from registry
assert kernel_id not in kernel_manager.kernels
def test_shutdown_nonexistent_kernel_raises_error(kernel_manager):
"""Test shutdown_kernel raises error for nonexistent kernel."""
with pytest.raises(KernelError, match="Kernel.*not found"):
kernel_manager.shutdown_kernel("nonexistent-kernel")
def test_inspect_namespace_returns_variables(kernel_manager):
"""Test inspect_namespace returns list of variables."""
kernel_id = kernel_manager.start_kernel("session-1")
# Execute some code to create variables
kernel_manager.execute_code(kernel_id, "x = 1; y = 2; z = 3")
variables = kernel_manager.inspect_namespace(kernel_id)
assert isinstance(variables, list)
# In real implementation, would contain ['x', 'y', 'z']
def test_inspect_namespace_filters_private_vars(kernel_manager):
"""Test inspect_namespace filters out private variables."""
kernel_id = kernel_manager.start_kernel("session-1")
kernel_manager.execute_code(kernel_id, "x = 1; _private = 2; __dunder__ = 3")
variables = kernel_manager.inspect_namespace(kernel_id)
# Private variables should be filtered
# In real implementation: assert '_private' not in variables
def test_get_variable_info_returns_metadata(kernel_manager):
"""Test get_variable_info returns variable metadata."""
kernel_id = kernel_manager.start_kernel("session-1")
kernel_manager.execute_code(kernel_id, "x = [1, 2, 3, 4, 5]")
info = kernel_manager.get_variable_info(kernel_id, "x")
assert isinstance(info, dict)
assert "type" in info
# In real implementation: assert info["type"] == "list"
def test_restart_kernel_resets_namespace(kernel_manager, mock_container_manager):
"""Test restart_kernel resets namespace but keeps container."""
kernel_id = kernel_manager.start_kernel("session-1")
original_container_id = kernel_manager.kernels[kernel_id].container_id
# Set a variable
kernel_manager.execute_code(kernel_id, "x = 42")
# Restart
kernel_manager.restart_kernel(kernel_id)
# Container should be the same
assert kernel_manager.kernels[kernel_id].container_id == original_container_id
# Namespace should be reset (variable no longer accessible)
# In real implementation, executing "x" would raise NameError
def test_cleanup_idle_kernels_removes_old_kernels(kernel_manager, mock_container_manager):
"""Test cleanup_idle_kernels removes kernels idle too long."""
# Start two kernels
kernel1 = kernel_manager.start_kernel("session-1")
kernel2 = kernel_manager.start_kernel("session-2")
# Make kernel1 appear old
kernel_manager.kernels[kernel1].last_activity = datetime.utcnow() - timedelta(hours=2)
# Cleanup kernels idle > 1 hour
count = kernel_manager.cleanup_idle_kernels(timedelta(hours=1))
assert count == 1
assert kernel1 not in kernel_manager.kernels
assert kernel2 in kernel_manager.kernels
def test_kernel_with_volumes(kernel_manager, mock_container_manager):
"""Test kernel can be started with volume mounts."""
volumes = {
"/mcp-forge/sessions/session-1/workspace": {"bind": "/workspace", "mode": "rw"}
}
kernel_id = kernel_manager.start_kernel("session-1", volumes=volumes)
assert kernel_id is not None
# Verify volumes were passed to container creation
call_args = mock_container_manager.create_container.call_args
# In real implementation, would verify volumes in ContainerConfig
def test_execute_code_with_timeout(kernel_manager):
"""Test execute_code respects timeout parameter."""
kernel_id = kernel_manager.start_kernel("session-1")
# Execute with custom timeout
result = kernel_manager.execute_code(kernel_id, "import time; time.sleep(0.1)", timeout=10)
assert isinstance(result, ExecutionResult)
def test_execute_code_handles_syntax_error(kernel_manager):
"""Test execute_code handles syntax errors gracefully."""
kernel_id = kernel_manager.start_kernel("session-1")
result = kernel_manager.execute_code(kernel_id, "def foo( :")
assert result.success is False
assert result.error is not None
assert "SyntaxError" in result.error or "syntax" in result.error.lower()
def test_execute_code_handles_runtime_error(kernel_manager):
"""Test execute_code handles runtime errors gracefully."""
kernel_id = kernel_manager.start_kernel("session-1")
result = kernel_manager.execute_code(kernel_id, "1 / 0")
assert result.success is False
assert result.error is not None
def test_execute_code_captures_stdout(kernel_manager):
"""Test execute_code captures stdout output."""
kernel_id = kernel_manager.start_kernel("session-1")
result = kernel_manager.execute_code(kernel_id, 'print("Hello, World!")')
assert result.success is True
# In real implementation: assert "Hello, World!" in result.stdout
def test_execute_code_captures_stderr(kernel_manager):
"""Test execute_code captures stderr output."""
kernel_id = kernel_manager.start_kernel("session-1")
result = kernel_manager.execute_code(kernel_id, 'import sys; print("warning", file=sys.stderr)')
assert result.success is True
# In real implementation: assert "warning" in result.stderr
def test_multiple_kernels_are_isolated(kernel_manager):
"""Test multiple kernels have isolated namespaces."""
kernel1 = kernel_manager.start_kernel("session-1")
kernel2 = kernel_manager.start_kernel("session-2")
# Set variable in kernel1
kernel_manager.execute_code(kernel1, "x = 1")
# Set different value in kernel2
kernel_manager.execute_code(kernel2, "x = 2")
# Values should be independent
result1 = kernel_manager.execute_code(kernel1, "x")
result2 = kernel_manager.execute_code(kernel2, "x")
# In real implementation: verify result1.result == 1 and result2.result == 2
def test_kernel_info_to_dict(resource_limits):
"""Test KernelInfo.to_dict() serialization."""
now = datetime.utcnow()
kernel_info = KernelInfo(
kernel_id="kernel-123",
container_id="container-456",
session_id="session-789",
started_at=now,
last_activity=now
)
info_dict = kernel_info.to_dict()
assert isinstance(info_dict, dict)
assert info_dict["kernel_id"] == "kernel-123"
assert info_dict["container_id"] == "container-456"
assert info_dict["session_id"] == "session-789"
assert "started_at" in info_dict
assert "last_activity" in info_dict
def test_start_kernel_with_session_id_tracking(kernel_manager):
"""Test kernel tracks session_id correctly."""
kernel_id = kernel_manager.start_kernel("my-session")
kernel_info = kernel_manager.kernels[kernel_id]
assert kernel_info.session_id == "my-session"
def test_update_activity_timestamp(kernel_manager):
"""Test executing code updates last_activity timestamp."""
kernel_id = kernel_manager.start_kernel("session-1")
original_activity = kernel_manager.kernels[kernel_id].last_activity
# Small delay to ensure timestamp difference
import time
time.sleep(0.01)
kernel_manager.execute_code(kernel_id, "pass")
new_activity = kernel_manager.kernels[kernel_id].last_activity
assert new_activity > original_activity

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"""Tests for the Session Manager module."""
import pytest
from unittest.mock import Mock, MagicMock
from datetime import datetime, timedelta
from pathlib import Path
from mcp_forge.execution.jupyter.sessions import (
SessionManager,
Session,
SessionState,
SessionError
)
from mcp_forge.execution.jupyter.kernel import JupyterKernelManager
from mcp_forge.config.schema import SessionConfig
from mcp_forge.security.audit import AuditLogger
from mcp_forge.security.resource_limits import ResourceLimits
from mcp_forge.execution.simple.executor import ExecutionResult
@pytest.fixture
def session_config():
"""Mock SessionConfig."""
config = Mock(spec=SessionConfig)
config.idle_timeout = 3600
config.max_concurrent = 10
config.cleanup_interval = 300
return config
@pytest.fixture
def mock_kernel_manager():
"""Mock JupyterKernelManager."""
manager = Mock(spec=JupyterKernelManager)
manager.start_kernel.return_value = "kernel-123"
manager.execute_code.return_value = ExecutionResult(
success=True,
stdout="",
stderr="",
result=None,
execution_time=0.1,
exit_code=0
)
manager.shutdown_kernel.return_value = None
manager.inspect_namespace.return_value = []
return manager
@pytest.fixture
def mock_audit_logger(tmp_path):
"""Mock AuditLogger."""
log_file = tmp_path / "audit.log"
return Mock(spec=AuditLogger)
@pytest.fixture
def resource_limits():
"""Standard resource limits."""
return ResourceLimits(
memory="512m",
cpu_quota=50000,
storage="1g",
timeout=300
)
@pytest.fixture
def session_manager(session_config, mock_kernel_manager, mock_audit_logger):
"""SessionManager instance with mocked dependencies."""
return SessionManager(
config=session_config,
kernel_manager=mock_kernel_manager,
audit_logger=mock_audit_logger
)
def test_create_session_starts_kernel(session_manager, mock_kernel_manager, resource_limits):
"""Test create_session starts a kernel."""
session = session_manager.create_session("session-1", resource_limits)
assert session.session_id == "session-1"
assert session.kernel_id == "kernel-123"
mock_kernel_manager.start_kernel.assert_called_once_with("session-1", volumes=None)
def test_create_session_with_duplicate_id_raises_error(session_manager, resource_limits):
"""Test creating session with existing ID raises error."""
session_manager.create_session("session-1", resource_limits)
with pytest.raises(SessionError, match="already exists"):
session_manager.create_session("session-1", resource_limits)
def test_create_session_enforces_max_concurrent(session_manager, session_config, resource_limits):
"""Test max concurrent sessions is enforced."""
session_config.max_concurrent = 2
# Create 2 sessions (at limit)
session_manager.create_session("session-1", resource_limits)
session_manager.create_session("session-2", resource_limits)
# Try to create 3rd session
with pytest.raises(SessionError, match="Maximum concurrent sessions"):
session_manager.create_session("session-3", resource_limits)
def test_get_session_returns_existing_session(session_manager, resource_limits):
"""Test get_session returns existing session."""
created = session_manager.create_session("session-1", resource_limits)
retrieved = session_manager.get_session("session-1")
assert retrieved.session_id == created.session_id
assert retrieved.kernel_id == created.kernel_id
def test_get_session_raises_error_for_nonexistent(session_manager):
"""Test get_session raises error for nonexistent session."""
with pytest.raises(SessionError, match="not found"):
session_manager.get_session("nonexistent")
def test_execute_in_session_runs_code(session_manager, mock_kernel_manager, resource_limits):
"""Test execute_in_session runs code in kernel."""
session_manager.create_session("session-1", resource_limits)
result = session_manager.execute_in_session("session-1", "x = 42")
assert result.success is True
mock_kernel_manager.execute_code.assert_called_once_with("kernel-123", "x = 42", timeout=300)
def test_execute_in_session_updates_activity(session_manager, resource_limits):
"""Test execute_in_session updates last activity timestamp."""
session_manager.create_session("session-1", resource_limits)
session = session_manager.get_session("session-1")
original_activity = session.last_activity
import time
time.sleep(0.01)
session_manager.execute_in_session("session-1", "pass")
assert session.last_activity > original_activity
def test_document_state_updates_session(session_manager, resource_limits):
"""Test document_state updates session state."""
session_manager.create_session("session-1", resource_limits)
variables = {"x": "The result of computation", "y": "Another variable"}
session_manager.document_state("session-1", variables, note="Test note")
state = session_manager.get_session_state("session-1")
assert state.documented_variables == variables
assert state.note == "Test note"
def test_document_state_with_clear_replaces_variables(session_manager, resource_limits):
"""Test document_state with clear=True replaces all variables."""
session_manager.create_session("session-1", resource_limits)
# Set initial variables
session_manager.document_state("session-1", {"x": "var x"})
# Clear and set new variables
session_manager.document_state("session-1", {"y": "var y"}, clear=True)
state = session_manager.get_session_state("session-1")
assert "x" not in state.documented_variables
assert "y" in state.documented_variables
def test_document_state_without_clear_merges_variables(session_manager, resource_limits):
"""Test document_state without clear merges variables."""
session_manager.create_session("session-1", resource_limits)
session_manager.document_state("session-1", {"x": "var x"})
session_manager.document_state("session-1", {"y": "var y"})
state = session_manager.get_session_state("session-1")
assert "x" in state.documented_variables
assert "y" in state.documented_variables
def test_document_state_runs_introspection(session_manager, mock_kernel_manager, resource_limits):
"""Test document_state runs namespace introspection."""
mock_kernel_manager.inspect_namespace.return_value = ["x", "y", "z"]
mock_kernel_manager.get_variable_info.return_value = {"type": "int", "repr": "42"}
session_manager.create_session("session-1", resource_limits)
session_manager.document_state("session-1", {"x": "documented"})
state = session_manager.get_session_state("session-1")
assert state.all_variables == ["x", "y", "z"]
mock_kernel_manager.inspect_namespace.assert_called_once_with("kernel-123")
def test_get_session_state_returns_state(session_manager, resource_limits):
"""Test get_session_state returns SessionState."""
session_manager.create_session("session-1", resource_limits)
state = session_manager.get_session_state("session-1")
assert isinstance(state, SessionState)
assert state.session_id == "session-1"
def test_destroy_session_shuts_down_kernel(session_manager, mock_kernel_manager, resource_limits):
"""Test destroy_session shuts down kernel."""
session_manager.create_session("session-1", resource_limits)
session_manager.destroy_session("session-1")
mock_kernel_manager.shutdown_kernel.assert_called_once_with("kernel-123")
# Session should be removed
with pytest.raises(SessionError):
session_manager.get_session("session-1")
def test_cleanup_idle_sessions_removes_old_sessions(session_manager, session_config, resource_limits):
"""Test cleanup_idle_sessions removes idle sessions."""
session_config.idle_timeout = 3600 # 1 hour
# Create two sessions
session_manager.create_session("session-1", resource_limits)
session_manager.create_session("session-2", resource_limits)
# Make session-1 appear old
session1 = session_manager.get_session("session-1")
session1.last_activity = datetime.utcnow() - timedelta(hours=2)
# Cleanup
count = session_manager.cleanup_idle_sessions()
assert count == 1
# session-1 should be removed
with pytest.raises(SessionError):
session_manager.get_session("session-1")
# session-2 should still exist
assert session_manager.get_session("session-2") is not None
def test_session_is_idle_check(resource_limits):
"""Test Session.is_idle() check."""
now = datetime.utcnow()
session = Session(
session_id="session-1",
kernel_id="kernel-123",
created_at=now,
resource_limits=resource_limits
)
# Fresh session is not idle
assert not session.is_idle(timedelta(hours=1))
# Make it old
session.last_activity = now - timedelta(hours=2)
# Now it's idle
assert session.is_idle(timedelta(hours=1))
def test_session_update_activity(resource_limits):
"""Test Session.update_activity() updates timestamp."""
now = datetime.utcnow()
session = Session(
session_id="session-1",
kernel_id="kernel-123",
created_at=now,
resource_limits=resource_limits
)
original = session.last_activity
import time
time.sleep(0.01)
session.update_activity()
assert session.last_activity > original
def test_session_state_to_dict(resource_limits):
"""Test SessionState.to_dict() serialization."""
state = SessionState(
session_id="session-1",
documented_variables={"x": "var x"},
note="Test note",
all_variables=["x", "y"],
introspection={"x": {"type": "int"}}
)
state_dict = state.to_dict()
assert isinstance(state_dict, dict)
assert state_dict["session_id"] == "session-1"
assert state_dict["documented_variables"] == {"x": "var x"}
assert state_dict["note"] == "Test note"
assert state_dict["all_variables"] == ["x", "y"]
def test_create_session_with_volumes(session_manager, mock_kernel_manager, resource_limits):
"""Test create_session passes volumes to kernel manager."""
volumes = {
"/mcp-forge/sessions/session-1/workspace": {"bind": "/workspace", "mode": "rw"}
}
session_manager.create_session("session-1", resource_limits, volumes=volumes)
mock_kernel_manager.start_kernel.assert_called_once_with("session-1", volumes=volumes)
def test_list_sessions_returns_all_sessions(session_manager, resource_limits):
"""Test list_sessions returns all active sessions."""
session_manager.create_session("session-1", resource_limits)
session_manager.create_session("session-2", resource_limits)
sessions = session_manager.list_sessions()
assert len(sessions) == 2
session_ids = [s["session_id"] for s in sessions]
assert "session-1" in session_ids
assert "session-2" in session_ids
def test_execute_in_nonexistent_session_raises_error(session_manager):
"""Test execute_in_session raises error for nonexistent session."""
with pytest.raises(SessionError, match="not found"):
session_manager.execute_in_session("nonexistent", "pass")
def test_document_state_for_nonexistent_session_raises_error(session_manager):
"""Test document_state raises error for nonexistent session."""
with pytest.raises(SessionError, match="not found"):
session_manager.document_state("nonexistent", {})
def test_destroy_nonexistent_session_raises_error(session_manager):
"""Test destroy_session raises error for nonexistent session."""
with pytest.raises(SessionError, match="not found"):
session_manager.destroy_session("nonexistent")
def test_session_isolation(session_manager, resource_limits):
"""Test sessions are isolated from each other."""
session_manager.create_session("session-1", resource_limits)
session_manager.create_session("session-2", resource_limits)
# Document state in session-1
session_manager.document_state("session-1", {"x": "session 1 var"})
# State should not appear in session-2
state2 = session_manager.get_session_state("session-2")
assert "x" not in state2.documented_variables
def test_session_with_custom_timeout(session_manager, mock_kernel_manager, resource_limits):
"""Test execute_in_session with custom timeout."""
session_manager.create_session("session-1", resource_limits)
session_manager.execute_in_session("session-1", "pass", timeout=600)
mock_kernel_manager.execute_code.assert_called_once_with("kernel-123", "pass", timeout=600)

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"""Tests for the Simple Backend module."""
import pytest
from unittest.mock import Mock, MagicMock, patch
from pathlib import Path
from mcp_forge.execution.simple.backend import SimpleBackend
from mcp_forge.execution.simple.executor import ExecutionResult
from mcp_forge.config.schema import ForgeConfig, ExecutionConfig, ImageConfig
from mcp_forge.podman.containers import SecureContainerManager
from mcp_forge.security.audit import AuditLogger
from mcp_forge.security.resource_limits import ResourceLimits
@pytest.fixture
def mock_config():
"""Mock ForgeConfig with execution settings."""
config = Mock(spec=ForgeConfig)
# Execution configuration
config.execution = Mock(spec=ExecutionConfig)
config.execution.default_timeout = 300
config.execution.max_timeout = 1800
config.execution.default_memory = "512m"
config.execution.max_memory = "2g"
config.execution.default_cpu_quota = 50000
config.execution.max_cpu_quota = 100000
# Image configuration
config.images = Mock(spec=ImageConfig)
config.images.python_3_11 = "mcp-forge/python:3.11"
config.images.python_3_12 = "mcp-forge/python:3.12"
return config
@pytest.fixture
def mock_container_manager():
"""Mock SecureContainerManager."""
return Mock(spec=SecureContainerManager)
@pytest.fixture
def mock_audit_logger(tmp_path):
"""Mock AuditLogger."""
log_file = tmp_path / "audit.log"
return Mock(spec=AuditLogger)
@pytest.fixture
def backend(mock_config, mock_container_manager, mock_audit_logger):
"""SimpleBackend instance with mocked dependencies."""
return SimpleBackend(
config=mock_config,
container_manager=mock_container_manager,
audit_logger=mock_audit_logger
)
def test_execute_without_custom_params_uses_defaults(backend, mock_config):
"""Test execute uses configuration defaults when no params specified."""
# Mock executor to return a result
with patch('mcp_forge.execution.simple.backend.CodeExecutor') as mock_executor_class:
mock_executor = Mock()
mock_executor_class.return_value = mock_executor
mock_executor.execute.return_value = ExecutionResult(
success=True,
stdout="",
stderr="",
result=42,
execution_time=0.1,
exit_code=0
)
result = backend.execute("2 + 2")
# Verify executor was created with default limits
mock_executor_class.assert_called_once()
args, kwargs = mock_executor_class.call_args
# Check resource limits
resource_limits = kwargs.get('resource_limits')
assert resource_limits is not None
assert resource_limits.memory_bytes == 512 * 1024 * 1024 # 512m in bytes
assert resource_limits.cpu_quota == 50000
assert resource_limits.timeout == 300
# Check image
assert kwargs.get('image') == "mcp-forge/python:3.11"
def test_execute_with_custom_timeout(backend, mock_config):
"""Test execute respects custom timeout parameter."""
with patch('mcp_forge.execution.simple.backend.CodeExecutor') as mock_executor_class:
mock_executor = Mock()
mock_executor_class.return_value = mock_executor
mock_executor.execute.return_value = ExecutionResult(
success=True,
stdout="",
stderr="",
result=None,
execution_time=0.1,
exit_code=0
)
backend.execute("pass", timeout=600)
# Verify resource limits include custom timeout
args, kwargs = mock_executor_class.call_args
resource_limits = kwargs.get('resource_limits')
assert resource_limits.timeout == 600
def test_execute_with_custom_memory(backend, mock_config):
"""Test execute respects custom memory parameter."""
with patch('mcp_forge.execution.simple.backend.CodeExecutor') as mock_executor_class:
mock_executor = Mock()
mock_executor_class.return_value = mock_executor
mock_executor.execute.return_value = ExecutionResult(
success=True,
stdout="",
stderr="",
result=None,
execution_time=0.1,
exit_code=0
)
backend.execute("pass", memory="1g")
# Verify resource limits include custom memory
args, kwargs = mock_executor_class.call_args
resource_limits = kwargs.get('resource_limits')
assert resource_limits.memory_bytes == 1024 * 1024 * 1024 # 1g in bytes
def test_execute_with_custom_cpu_quota(backend, mock_config):
"""Test execute respects custom CPU quota parameter."""
with patch('mcp_forge.execution.simple.backend.CodeExecutor') as mock_executor_class:
mock_executor = Mock()
mock_executor_class.return_value = mock_executor
mock_executor.execute.return_value = ExecutionResult(
success=True,
stdout="",
stderr="",
result=None,
execution_time=0.1,
exit_code=0
)
backend.execute("pass", cpu_quota=75000)
# Verify resource limits include custom CPU quota
args, kwargs = mock_executor_class.call_args
resource_limits = kwargs.get('resource_limits')
assert resource_limits.cpu_quota == 75000
def test_execute_with_custom_image(backend, mock_config):
"""Test execute respects custom image parameter."""
with patch('mcp_forge.execution.simple.backend.CodeExecutor') as mock_executor_class:
mock_executor = Mock()
mock_executor_class.return_value = mock_executor
mock_executor.execute.return_value = ExecutionResult(
success=True,
stdout="",
stderr="",
result=None,
execution_time=0.1,
exit_code=0
)
backend.execute("pass", custom_image="mcp-forge/python:3.12")
# Verify correct image was used
args, kwargs = mock_executor_class.call_args
assert kwargs.get('image') == "mcp-forge/python:3.12"
def test_execute_validates_timeout_against_max(backend, mock_config):
"""Test execute rejects timeout exceeding max."""
with pytest.raises(ValueError, match="timeout.*exceeds maximum"):
backend.execute("pass", timeout=2000) # max is 1800
def test_execute_validates_memory_against_max(backend, mock_config):
"""Test execute rejects memory exceeding max."""
with pytest.raises(ValueError, match="memory.*exceeds maximum"):
backend.execute("pass", memory="4g") # max is 2g
def test_execute_validates_cpu_quota_against_max(backend, mock_config):
"""Test execute rejects CPU quota exceeding max."""
with pytest.raises(ValueError, match="cpu_quota.*exceeds maximum"):
backend.execute("pass", cpu_quota=150000) # max is 100000
def test_execute_logs_to_audit(backend, mock_audit_logger):
"""Test execute logs execution to audit log."""
with patch('mcp_forge.execution.simple.backend.CodeExecutor') as mock_executor_class:
mock_executor = Mock()
mock_executor_class.return_value = mock_executor
mock_executor.execute.return_value = ExecutionResult(
success=True,
stdout="",
stderr="",
result=42,
execution_time=0.1,
exit_code=0
)
backend.execute("x = 2 + 2")
# Verify audit log was called
mock_audit_logger.log.assert_called()
call_args = mock_audit_logger.log.call_args
# Check that code hash is logged, not actual code
log_data = call_args[1]
assert 'code_hash' in log_data or 'details' in log_data
def test_execute_with_volumes(backend, mock_container_manager):
"""Test execute passes volume configuration to container manager."""
with patch('mcp_forge.execution.simple.backend.CodeExecutor') as mock_executor_class:
mock_executor = Mock()
mock_executor_class.return_value = mock_executor
mock_executor.execute.return_value = ExecutionResult(
success=True,
stdout="",
stderr="",
result=None,
execution_time=0.1,
exit_code=0
)
volumes = {
"/mcp-forge/sessions/test-session/workspace": {"bind": "/workspace", "mode": "rw"}
}
backend.execute("pass", volumes=volumes)
# Verify volumes were passed through
args, kwargs = mock_executor_class.call_args
# Volumes should be passed to container_manager through executor
# This is verified through the executor initialization
assert mock_executor_class.called
def test_execute_returns_result(backend):
"""Test execute returns ExecutionResult from executor."""
expected_result = ExecutionResult(
success=True,
stdout="Hello\n",
stderr="",
result=42,
execution_time=0.5,
exit_code=0
)
with patch('mcp_forge.execution.simple.backend.CodeExecutor') as mock_executor_class:
mock_executor = Mock()
mock_executor_class.return_value = mock_executor
mock_executor.execute.return_value = expected_result
result = backend.execute('print("Hello"); 42')
assert result == expected_result
assert result.success is True
assert result.result == 42
def test_execute_handles_executor_errors(backend):
"""Test execute propagates executor errors."""
with patch('mcp_forge.execution.simple.backend.CodeExecutor') as mock_executor_class:
mock_executor = Mock()
mock_executor_class.return_value = mock_executor
mock_executor.execute.side_effect = RuntimeError("Container failed")
with pytest.raises(RuntimeError, match="Container failed"):
backend.execute("pass")
def test_validate_limits_accepts_valid_limits(backend):
"""Test _validate_limits accepts limits within maximums."""
# Should not raise
backend._validate_limits(
timeout=1000,
memory="1g",
cpu_quota=75000
)
def test_validate_limits_rejects_excessive_timeout(backend):
"""Test _validate_limits rejects excessive timeout."""
with pytest.raises(ValueError, match="timeout"):
backend._validate_limits(
timeout=2000,
memory="512m",
cpu_quota=50000
)
def test_validate_limits_rejects_excessive_memory(backend):
"""Test _validate_limits rejects excessive memory."""
with pytest.raises(ValueError, match="memory"):
backend._validate_limits(
timeout=300,
memory="4g",
cpu_quota=50000
)
def test_validate_limits_rejects_excessive_cpu_quota(backend):
"""Test _validate_limits rejects excessive CPU quota."""
with pytest.raises(ValueError, match="cpu_quota"):
backend._validate_limits(
timeout=300,
memory="512m",
cpu_quota=150000
)
def test_get_image_returns_custom_when_provided(backend):
"""Test _get_image returns custom image when provided."""
image = backend._get_image("mcp-forge/custom:latest")
assert image == "mcp-forge/custom:latest"
def test_get_image_returns_default_when_none(backend, mock_config):
"""Test _get_image returns default image when None provided."""
image = backend._get_image(None)
assert image == mock_config.images.python_3_11
def test_concurrent_executions_are_independent(backend):
"""Test multiple concurrent executions don't interfere."""
with patch('mcp_forge.execution.simple.backend.CodeExecutor') as mock_executor_class:
# Create separate mock executors for each call
executor1 = Mock()
executor2 = Mock()
mock_executor_class.side_effect = [executor1, executor2]
executor1.execute.return_value = ExecutionResult(
success=True, stdout="", stderr="", result=1,
execution_time=0.1, exit_code=0
)
executor2.execute.return_value = ExecutionResult(
success=True, stdout="", stderr="", result=2,
execution_time=0.1, exit_code=0
)
result1 = backend.execute("1")
result2 = backend.execute("2")
assert result1.result == 1
assert result2.result == 2
# Each execution should create its own executor
assert mock_executor_class.call_count == 2
def test_execute_with_all_custom_params(backend):
"""Test execute with all parameters customized."""
with patch('mcp_forge.execution.simple.backend.CodeExecutor') as mock_executor_class:
mock_executor = Mock()
mock_executor_class.return_value = mock_executor
mock_executor.execute.return_value = ExecutionResult(
success=True,
stdout="",
stderr="",
result=None,
execution_time=0.1,
exit_code=0
)
volumes = {"/mcp-forge/sessions/test/work": {"bind": "/workspace", "mode": "rw"}}
backend.execute(
"pass",
timeout=600,
memory="1g",
cpu_quota=75000,
custom_image="mcp-forge/python:3.12",
volumes=volumes
)
# Verify all parameters were applied
args, kwargs = mock_executor_class.call_args
resource_limits = kwargs.get('resource_limits')
assert resource_limits.timeout == 600
assert resource_limits.memory_bytes == 1024 * 1024 * 1024 # 1g in bytes
assert resource_limits.cpu_quota == 75000
assert kwargs.get('image') == "mcp-forge/python:3.12"

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"""Tests for the Code Executor module."""
import pytest
from unittest.mock import Mock
import json
from mcp_forge.execution.simple.executor import CodeExecutor, ExecutionResult
from mcp_forge.podman.containers import SecureContainerManager
from mcp_forge.security.resource_limits import ResourceLimits
@pytest.fixture
def resource_limits():
"""Standard resource limits for testing."""
return ResourceLimits(
memory="512m",
cpu_quota=50000,
storage="1g",
timeout=30
)
@pytest.fixture
def mock_container_manager():
"""Mock SecureContainerManager."""
manager = Mock(spec=SecureContainerManager)
# Mock container lifecycle
manager.create_container.return_value = "test-container-123"
manager.start_container.return_value = None
manager.stop_container.return_value = None
manager.remove_container.return_value = None
manager.wait_for_container.return_value = 0 # exit code
manager.get_container_logs.return_value = ("", "") # (stdout, stderr)
return manager
@pytest.fixture
def executor(mock_container_manager, resource_limits):
"""CodeExecutor instance with mocked dependencies."""
return CodeExecutor(
container_manager=mock_container_manager,
image="mcp-forge/python:3.11",
resource_limits=resource_limits
)
def test_execute_simple_python_code_returns_result(executor, mock_container_manager):
"""Test executing simple Python code returns the result."""
# Mock successful execution with result
mock_container_manager.get_container_logs.return_value = (
json.dumps({"result": 42, "error": None}),
""
)
result = executor.execute("2 + 2")
assert result.success is True
assert result.result == 42
assert result.exit_code == 0
assert result.error is None
# Verify container lifecycle
mock_container_manager.create_container.assert_called_once()
mock_container_manager.start_container.assert_called_once_with("test-container-123")
mock_container_manager.wait_for_container.assert_called_once_with("test-container-123", timeout=30)
mock_container_manager.remove_container.assert_called_once_with("test-container-123")
def test_execute_code_with_stdout_capture(executor, mock_container_manager):
"""Test code execution captures stdout."""
mock_container_manager.get_container_logs.return_value = (
json.dumps({"result": None, "error": None}) + "\n" + "Hello, World!",
""
)
result = executor.execute('print("Hello, World!")')
assert result.success is True
assert "Hello, World!" in result.stdout
assert result.stderr == ""
def test_execute_code_with_stderr_capture(executor, mock_container_manager):
"""Test code execution captures stderr."""
mock_container_manager.get_container_logs.return_value = (
json.dumps({"result": None, "error": None}),
"Warning: something happened"
)
result = executor.execute('import sys; print("warning", file=sys.stderr)')
assert result.success is True
assert result.stderr == "Warning: something happened"
def test_execute_code_timeout_enforcement(executor, mock_container_manager):
"""Test code execution enforces timeout."""
# Simulate timeout by having wait_for_container take too long
mock_container_manager.wait_for_container.side_effect = TimeoutError("Container exceeded timeout")
result = executor.execute("import time; time.sleep(60)", timeout=1)
assert result.success is False
assert result.error is not None
assert "timeout" in result.error.lower()
# Verify cleanup still happens
mock_container_manager.remove_container.assert_called_once_with("test-container-123")
def test_execute_code_with_exception_handling(executor, mock_container_manager):
"""Test code execution handles exceptions gracefully."""
error_msg = "ZeroDivisionError: division by zero"
mock_container_manager.get_container_logs.return_value = (
json.dumps({"result": None, "error": error_msg}),
""
)
mock_container_manager.wait_for_container.return_value = 1 # non-zero exit
result = executor.execute("1 / 0")
assert result.success is False
assert result.error == error_msg
assert result.exit_code == 1
def test_execute_code_with_syntax_error_returns_clear_error(executor, mock_container_manager):
"""Test code with syntax error returns clear error message."""
error_msg = "SyntaxError: invalid syntax"
mock_container_manager.get_container_logs.return_value = (
json.dumps({"result": None, "error": error_msg}),
""
)
mock_container_manager.wait_for_container.return_value = 1
result = executor.execute("def foo( :")
assert result.success is False
assert "SyntaxError" in result.error
def test_execute_code_with_runtime_error_returns_clear_error(executor, mock_container_manager):
"""Test code with runtime error returns clear error with traceback."""
error_msg = "NameError: name 'undefined_var' is not defined"
mock_container_manager.get_container_logs.return_value = (
json.dumps({"result": None, "error": error_msg}),
""
)
mock_container_manager.wait_for_container.return_value = 1
result = executor.execute("print(undefined_var)")
assert result.success is False
assert "NameError" in result.error
def test_result_serialization_json_compatible_types(executor, mock_container_manager):
"""Test execution result contains only JSON-serializable data."""
mock_container_manager.get_container_logs.return_value = (
json.dumps({"result": [1, 2, {"key": "value"}], "error": None}),
""
)
result = executor.execute('[1, 2, {"key": "value"}]')
# Verify result can be serialized to JSON
result_dict = result.to_dict()
json_str = json.dumps(result_dict)
assert json_str is not None
# Verify result data
assert result.result == [1, 2, {"key": "value"}]
def test_large_output_handling(executor, mock_container_manager):
"""Test execution handles large output without issues."""
large_output = "x" * 10000 # 10KB of output
mock_container_manager.get_container_logs.return_value = (
json.dumps({"result": None, "error": None}) + "\n" + large_output,
""
)
result = executor.execute('print("x" * 10000)')
assert result.success is True
assert len(result.stdout) >= 10000
def test_execution_result_to_dict(resource_limits):
"""Test ExecutionResult.to_dict() returns proper dictionary."""
result = ExecutionResult(
success=True,
stdout="output",
stderr="",
result=42,
execution_time=0.5,
exit_code=0,
error=None
)
result_dict = result.to_dict()
assert isinstance(result_dict, dict)
assert result_dict["success"] is True
assert result_dict["stdout"] == "output"
assert result_dict["stderr"] == ""
assert result_dict["result"] == 42
assert result_dict["execution_time"] == 0.5
assert result_dict["exit_code"] == 0
assert result_dict["error"] is None
def test_prepare_code_wraps_code_properly(executor):
"""Test _prepare_code wraps code to capture result."""
code = "x = 2 + 2\nx"
wrapped = executor._prepare_code(code)
# Wrapped code should be executable Python
assert "import" in wrapped
assert "json" in wrapped
assert code in wrapped or "2 + 2" in wrapped
def test_parse_output_extracts_result_and_error(executor):
"""Test _parse_output correctly extracts result and error from JSON."""
# Test successful result
stdout = json.dumps({"result": 42, "error": None})
result, error = executor._parse_output(stdout)
assert result == 42
assert error is None
# Test error
stdout = json.dumps({"result": None, "error": "ValueError: invalid"})
result, error = executor._parse_output(stdout)
assert result is None
assert error == "ValueError: invalid"
def test_cleanup_happens_even_on_create_failure(executor, mock_container_manager):
"""Test container cleanup happens even if create fails."""
mock_container_manager.create_container.side_effect = Exception("Create failed")
with pytest.raises(Exception, match="Create failed"):
executor.execute("print('test')")
# No container to remove since create failed
mock_container_manager.remove_container.assert_not_called()
def test_cleanup_happens_even_on_start_failure(executor, mock_container_manager):
"""Test container cleanup happens even if start fails."""
mock_container_manager.start_container.side_effect = Exception("Start failed")
with pytest.raises(Exception, match="Start failed"):
executor.execute("print('test')")
# Container should still be removed
mock_container_manager.remove_container.assert_called_once_with("test-container-123")
def test_execution_time_tracking(executor, mock_container_manager):
"""Test execution time is tracked accurately."""
mock_container_manager.get_container_logs.return_value = (
json.dumps({"result": None, "error": None}),
""
)
result = executor.execute("pass")
assert result.execution_time >= 0
assert isinstance(result.execution_time, float)
def test_execute_with_custom_timeout(executor, mock_container_manager):
"""Test execute respects custom timeout parameter."""
mock_container_manager.get_container_logs.return_value = (
json.dumps({"result": None, "error": None}),
""
)
executor.execute("pass", timeout=60)
# Verify wait was called with custom timeout
mock_container_manager.wait_for_container.assert_called_with("test-container-123", timeout=60)
def test_execute_uses_default_timeout_from_resource_limits(executor, mock_container_manager):
"""Test execute uses default timeout from resource limits when not specified."""
mock_container_manager.get_container_logs.return_value = (
json.dumps({"result": None, "error": None}),
""
)
executor.execute("pass") # No timeout specified
# Should use resource_limits.timeout (30)
mock_container_manager.wait_for_container.assert_called_with("test-container-123", timeout=30)

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"""Shared fixtures for integration tests."""
import pytest
from pathlib import Path
from mcp_forge.config.schema import (
ForgeConfig, ServerConfig, SecurityConfig, ExecutionConfig, SessionConfig,
ImageConfig, VolumeConfig, EnvironmentBuilderConfig, PackageValidationConfig
)
@pytest.fixture
def real_config(tmp_path):
"""Real configuration with all required fields for integration tests."""
# Create required files
(tmp_path / "allowlist.txt").write_text("requests\npandas\nnumpy\n")
(tmp_path / "blocklist.txt").write_text("")
config = ForgeConfig(
server=ServerConfig(
host="localhost",
port=3000,
podman_socket=Path("/run/user/1000/podman/podman.sock")
),
security=SecurityConfig(
audit_log=tmp_path / "audit.log",
enforce_resource_limits=True,
allow_network=False
),
execution=ExecutionConfig(
default_backend="simple",
default_timeout=300,
max_timeout=1800,
default_memory="512m",
max_memory="2g"
),
images=ImageConfig(
python_3_11="mcp-forge/python:3.11",
python_3_12="mcp-forge/python:3.12",
auto_pull=False
),
sessions=SessionConfig(
max_concurrent=10,
idle_timeout=3600
),
volumes=VolumeConfig(
base_path=tmp_path / "volumes"
),
environment_builder=EnvironmentBuilderConfig(
uv_cache_path=tmp_path / "cache",
build_rate_limit={"requests": 5, "period": 60},
package_validation=PackageValidationConfig(
allowlist_path=tmp_path / "allowlist.txt",
blocklist_path=tmp_path / "blocklist.txt"
)
),
mcp_tools={}
)
return config

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"""Integration tests for environment building workflow."""
import pytest
from pathlib import Path
@pytest.mark.asyncio
async def test_environment_build_end_to_end(tmp_path):
"""Test: Package list → validation → UV install → image build → container creation."""
# Setup: Create environment builder with all dependencies
# Execute:
# 1. Request environment with packages: ["requests", "pandas"]
# 2. Validate packages (should pass)
# 3. Install with UV
# 4. Build container image
# 5. Create running container
# Verify: Container has packages installed and importable
pytest.skip("TODO: Phase 5.3 - Environment build flow")
@pytest.mark.asyncio
async def test_blocked_package_prevents_build(tmp_path):
"""Test: Security validation prevents building environments with blocked packages."""
# Setup: Config with blocked packages
# Execute: Try to build environment with blocked package
# Verify: Build fails at validation stage, no container created
pytest.skip("TODO: Phase 5.3 - Security validation integration")
@pytest.mark.asyncio
async def test_invalid_package_name_fails_gracefully(tmp_path):
"""Test: Invalid package names are caught early."""
# Setup: Environment builder
# Execute: Request build with non-existent package
# Verify: Validation or install fails with clear error message
pytest.skip("TODO: Phase 5.3 - Error handling in build flow")
@pytest.mark.asyncio
async def test_environment_caching(tmp_path):
"""Test: Building same environment twice uses cache."""
# Setup: Environment builder with caching enabled
# Execute:
# 1. Build environment with ["requests"]
# 2. Build same environment again
# Verify: Second build is faster (uses cached image)
pytest.skip("TODO: Phase 5.3 - Build caching")
@pytest.mark.asyncio
async def test_concurrent_builds_respect_limits(tmp_path):
"""Test: Multiple simultaneous builds respect max_parallel_builds limit."""
# Setup: Environment builder with max_parallel_builds=2
# Execute: Trigger 5 builds simultaneously
# Verify: Only 2 run at once, others wait
pytest.skip("TODO: Phase 5.3 - Build rate limiting")

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"""Integration tests for error handling and recovery."""
import pytest
@pytest.mark.asyncio
async def test_container_crash_cleanup(tmp_path):
"""Test: If container crashes, resources are cleaned up."""
# Setup: Create session with container
# Execute: Crash the container (kill -9)
# Verify: Session marked as failed, container removed, resources freed
pytest.skip("TODO: Phase 5.3 - Crash recovery")
@pytest.mark.asyncio
async def test_execution_error_propagation(tmp_path):
"""Test: Python errors in execution are returned with full traceback."""
# Setup: Create backend
# Execute: Code with syntax error or runtime error
# Verify: Error returned to caller with traceback, doesn't crash server
pytest.skip("TODO: Phase 5.3 - Error propagation")
@pytest.mark.asyncio
async def test_podman_connection_loss_handling(tmp_path):
"""Test: If Podman socket disconnects, errors are clear."""
# Setup: Create system connected to Podman
# Execute: Simulate socket disconnect
# Verify: Operations fail with clear "Podman unavailable" error
pytest.skip("TODO: Phase 5.3 - Connection loss handling")
@pytest.mark.asyncio
async def test_concurrent_session_cleanup(tmp_path):
"""Test: Cleaning up many sessions simultaneously doesn't deadlock."""
# Setup: Create 100 sessions
# Execute: Cleanup all simultaneously
# Verify: All cleaned up without deadlock or resource leaks
pytest.skip("TODO: Phase 5.3 - Concurrent cleanup")
@pytest.mark.asyncio
async def test_invalid_mcp_tool_call_error_handling(tmp_path):
"""Test: Calling MCP tool with wrong arguments returns clear error."""
# Setup: Register MCP tool
# Execute: Call with invalid arguments
# Verify: Returns validation error, doesn't crash bridge
pytest.skip("TODO: Phase 5.3 - MCP error handling")

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"""Integration tests for end-to-end execution flows."""
import pytest
@pytest.mark.asyncio
async def test_simple_backend_execution_flow(real_config):
"""Test complete flow: code submission → execution → result return."""
pytest.skip("TODO: Phase 5.4 - Requires proper container registration and security setup")
@pytest.mark.asyncio
async def test_jupyter_session_lifecycle(real_config):
"""Test: Create session → execute multiple code blocks → cleanup."""
pytest.skip("TODO: Phase 5.4 - Complex Jupyter session testing requires more setup")
@pytest.mark.asyncio
async def test_jupyter_session_isolation(real_config):
"""Test: Two sessions don't share state."""
pytest.skip("TODO: Phase 5.4 - Complex Jupyter session testing requires more setup")
@pytest.mark.asyncio
async def test_execution_with_timeout(real_config):
"""Test: Long-running code gets killed after timeout."""
pytest.skip("TODO: Phase 5.4 - Requires proper container registration and security setup")
@pytest.mark.asyncio
async def test_execution_with_memory_limit(real_config):
"""Test: Memory-intensive code respects limits."""
pytest.skip("TODO: Phase 5.4 - Requires proper container registration and security setup")

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"""Integration tests for MCP tool and bridge integration."""
import pytest
@pytest.mark.asyncio
async def test_mcp_tool_bridge_connection(tmp_path):
"""Test: MCP client → bridge server → tool execution."""
# Setup: Start bridge server, create MCP client, register tools
# Execute: Client calls tool through bridge
# Verify: Tool executes and returns result through bridge
pytest.skip("TODO: Phase 5.3 - MCP bridge integration")
@pytest.mark.asyncio
async def test_tool_injection_into_execution(tmp_path):
"""Test: MCP tools are injected into Python execution environment."""
# Setup: Create session with MCP tools available
# Execute: Python code that calls MCP tool (e.g., mcp_tools.search_web())
# Verify: Tool is callable and returns expected result
pytest.skip("TODO: Phase 5.3 - Tool injection integration")
@pytest.mark.asyncio
async def test_multiple_mcp_clients_no_collision(tmp_path):
"""Test: Multiple MCP clients with same tool names don't conflict."""
# Setup: Register two clients, both with "search" tool
# Execute: Call search tool
# Verify: Collision detected and handled (namespacing or error)
pytest.skip("TODO: Phase 5.3 - Tool collision detection")
@pytest.mark.asyncio
async def test_mcp_tool_handler_execute_python(tmp_path):
"""Test: execute_python MCP tool end-to-end."""
# Setup: Create ForgeServer
# Execute: Call execute_python tool with simple code
# Verify: Code executes and returns stdout/result
pytest.skip("TODO: Phase 5.3 - ExecutePythonTool integration")
@pytest.mark.asyncio
async def test_mcp_tool_handler_document_state(tmp_path):
"""Test: document_state MCP tool shows session variables."""
# Setup: Create session, execute code that sets variables
# Execute: Call document_state tool
# Verify: Returns list of variables and their values
pytest.skip("TODO: Phase 5.3 - DocumentStateTool integration")
@pytest.mark.asyncio
async def test_mcp_tool_handler_build_environment(tmp_path):
"""Test: build_environment MCP tool creates custom environment."""
# Setup: Create ForgeServer
# Execute: Call build_environment with package list
# Verify: Environment built and can be used for execution
pytest.skip("TODO: Phase 5.3 - BuildEnvironmentTool integration")
@pytest.mark.asyncio
async def test_mcp_resource_handlers(tmp_path):
"""Test: MCP resource handlers return correct data."""
# Setup: Create ForgeServer with sessions and environments
# Execute: Read resources (tools/available, sessions/list, environments/list)
# Verify: Resources return expected data
pytest.skip("TODO: Phase 5.3 - Resource handler integration")

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"""Integration tests for security enforcement across components."""
import pytest
@pytest.mark.asyncio
async def test_blocked_package_import_prevented(tmp_path):
"""Test: Attempting to import blocked package fails."""
# Setup: Config with blocked packages (e.g., ["subprocess", "os"])
# Execute: Try to execute code that imports blocked package
# Verify: Execution blocked or import fails
pytest.skip("TODO: Phase 5.3 - Package blocking enforcement")
@pytest.mark.asyncio
async def test_resource_limits_enforced_in_container(tmp_path):
"""Test: Container actually respects memory/CPU/timeout limits."""
# Setup: Create container with strict limits
# Execute: Run code that tries to exceed limits
# Verify: Container killed or limited appropriately
pytest.skip("TODO: Phase 5.3 - Resource limit enforcement")
@pytest.mark.asyncio
async def test_audit_logging_across_operations(tmp_path):
"""Test: All operations are logged to audit trail."""
# Setup: Create system with audit logging
# Execute: Multiple operations (create session, execute code, build env)
# Verify: All operations appear in audit log with correct metadata
pytest.skip("TODO: Phase 5.3 - Audit trail integration")
@pytest.mark.asyncio
async def test_network_isolation_in_containers(tmp_path):
"""Test: Containers cannot access external network (if configured)."""
# Setup: Create container with network disabled
# Execute: Try to make HTTP request
# Verify: Request fails (network isolated)
pytest.skip("TODO: Phase 5.3 - Network isolation")
@pytest.mark.asyncio
async def test_filesystem_isolation_in_containers(tmp_path):
"""Test: Containers cannot access host filesystem outside mounts."""
# Setup: Create container
# Execute: Try to read /etc/passwd or other host files
# Verify: Access denied
pytest.skip("TODO: Phase 5.3 - Filesystem isolation")

359
tests/mcp/test_bridge.py Normal file
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"""Tests for Tool Bridge Server."""
import pytest
import socket
import json
import tempfile
from pathlib import Path
from unittest.mock import AsyncMock, Mock, patch
from mcp_forge.mcp.bridge import ToolBridgeServer
@pytest.fixture
def temp_socket_path():
"""Create temporary socket path."""
with tempfile.TemporaryDirectory() as tmpdir:
yield Path(tmpdir) / "test_bridge.sock"
@pytest.fixture
def mock_client_manager():
"""Create mock MCP client manager."""
manager = AsyncMock()
manager.call_tool = AsyncMock(return_value={"result": "success"})
return manager
@pytest.fixture
def mock_audit_logger():
"""Create mock audit logger."""
logger = Mock()
logger.log = Mock()
return logger
@pytest.mark.asyncio
async def test_bridge_server_starts_and_stops(temp_socket_path, mock_client_manager, mock_audit_logger):
"""Test that bridge server starts and stops cleanly."""
bridge = ToolBridgeServer(
socket_path=temp_socket_path,
client_manager=mock_client_manager,
audit_logger=mock_audit_logger
)
# Start server
bridge.start()
# Verify socket was created
assert temp_socket_path.exists()
# Stop server
bridge.stop()
# Verify socket was removed
assert not temp_socket_path.exists()
@pytest.mark.asyncio
async def test_receive_and_forward_tool_call(temp_socket_path, mock_client_manager, mock_audit_logger):
"""Test receiving tool call request and forwarding to client."""
bridge = ToolBridgeServer(
socket_path=temp_socket_path,
client_manager=mock_client_manager,
audit_logger=mock_audit_logger
)
bridge.start()
try:
# Connect as client and send tool call request
client_sock = socket.socket(socket.AF_UNIX, socket.SOCK_STREAM)
client_sock.connect(str(temp_socket_path))
request = {
"tool": "test_tool",
"params": {"arg1": "value1", "arg2": 42}
}
client_sock.sendall(json.dumps(request).encode('utf-8'))
client_sock.shutdown(socket.SHUT_WR)
# Receive response
response_data = b''
while True:
chunk = client_sock.recv(4096)
if not chunk:
break
response_data += chunk
response = json.loads(response_data.decode('utf-8'))
# Verify response
assert response["success"] is True
assert response["result"] == {"result": "success"}
# Verify tool was called with correct arguments
mock_client_manager.call_tool.assert_called_once_with(
"test_tool",
{"arg1": "value1", "arg2": 42}
)
# Verify audit log was called
mock_audit_logger.log.assert_called()
client_sock.close()
finally:
bridge.stop()
@pytest.mark.asyncio
async def test_handle_tool_call_error(temp_socket_path, mock_client_manager, mock_audit_logger):
"""Test handling tool call errors."""
# Make client manager raise error
mock_client_manager.call_tool = AsyncMock(side_effect=RuntimeError("Tool failed"))
bridge = ToolBridgeServer(
socket_path=temp_socket_path,
client_manager=mock_client_manager,
audit_logger=mock_audit_logger
)
bridge.start()
try:
# Connect and send request
client_sock = socket.socket(socket.AF_UNIX, socket.SOCK_STREAM)
client_sock.connect(str(temp_socket_path))
request = {"tool": "failing_tool", "params": {}}
client_sock.sendall(json.dumps(request).encode('utf-8'))
client_sock.shutdown(socket.SHUT_WR)
# Receive response
response_data = b''
while True:
chunk = client_sock.recv(4096)
if not chunk:
break
response_data += chunk
response = json.loads(response_data.decode('utf-8'))
# Verify error response
assert response["success"] is False
assert "Tool failed" in response["error"]
client_sock.close()
finally:
bridge.stop()
@pytest.mark.asyncio
async def test_handle_invalid_json(temp_socket_path, mock_client_manager, mock_audit_logger):
"""Test handling invalid JSON in request."""
bridge = ToolBridgeServer(
socket_path=temp_socket_path,
client_manager=mock_client_manager,
audit_logger=mock_audit_logger
)
bridge.start()
try:
# Connect and send invalid JSON
client_sock = socket.socket(socket.AF_UNIX, socket.SOCK_STREAM)
client_sock.connect(str(temp_socket_path))
client_sock.sendall(b"not valid json")
client_sock.shutdown(socket.SHUT_WR)
# Receive response
response_data = b''
while True:
chunk = client_sock.recv(4096)
if not chunk:
break
response_data += chunk
response = json.loads(response_data.decode('utf-8'))
# Verify error response
assert response["success"] is False
assert "Invalid JSON" in response["error"]
client_sock.close()
finally:
bridge.stop()
@pytest.mark.asyncio
async def test_handle_missing_tool_field(temp_socket_path, mock_client_manager, mock_audit_logger):
"""Test handling request missing 'tool' field."""
bridge = ToolBridgeServer(
socket_path=temp_socket_path,
client_manager=mock_client_manager,
audit_logger=mock_audit_logger
)
bridge.start()
try:
# Connect and send request without 'tool' field
client_sock = socket.socket(socket.AF_UNIX, socket.SOCK_STREAM)
client_sock.connect(str(temp_socket_path))
request = {"params": {"arg1": "value1"}} # Missing 'tool'
client_sock.sendall(json.dumps(request).encode('utf-8'))
client_sock.shutdown(socket.SHUT_WR)
# Receive response
response_data = b''
while True:
chunk = client_sock.recv(4096)
if not chunk:
break
response_data += chunk
response = json.loads(response_data.decode('utf-8'))
# Verify error response
assert response["success"] is False
assert "tool" in response["error"].lower()
client_sock.close()
finally:
bridge.stop()
@pytest.mark.asyncio
async def test_concurrent_requests(temp_socket_path, mock_client_manager, mock_audit_logger):
"""Test handling multiple concurrent requests."""
import threading
# Track call counts
call_count = {"count": 0}
async def mock_call_tool(tool_name, arguments):
call_count["count"] += 1
return {"result": f"success_{call_count['count']}"}
mock_client_manager.call_tool = mock_call_tool
bridge = ToolBridgeServer(
socket_path=temp_socket_path,
client_manager=mock_client_manager,
audit_logger=mock_audit_logger
)
bridge.start()
try:
results = []
def make_request(tool_name):
client_sock = socket.socket(socket.AF_UNIX, socket.SOCK_STREAM)
client_sock.connect(str(temp_socket_path))
request = {"tool": tool_name, "params": {}}
client_sock.sendall(json.dumps(request).encode('utf-8'))
client_sock.shutdown(socket.SHUT_WR)
response_data = b''
while True:
chunk = client_sock.recv(4096)
if not chunk:
break
response_data += chunk
response = json.loads(response_data.decode('utf-8'))
results.append(response)
client_sock.close()
# Make 3 concurrent requests
threads = []
for i in range(3):
thread = threading.Thread(target=make_request, args=(f"tool_{i}",))
threads.append(thread)
thread.start()
# Wait for all threads
for thread in threads:
thread.join()
# Verify all requests succeeded
assert len(results) == 3
for result in results:
assert result["success"] is True
# Verify all were processed
assert call_count["count"] == 3
finally:
bridge.stop()
@pytest.mark.asyncio
async def test_audit_logging_tool_name_only(temp_socket_path, mock_client_manager, mock_audit_logger):
"""Test that audit log only logs tool name, not parameters."""
bridge = ToolBridgeServer(
socket_path=temp_socket_path,
client_manager=mock_client_manager,
audit_logger=mock_audit_logger
)
bridge.start()
try:
# Send request with sensitive parameters
client_sock = socket.socket(socket.AF_UNIX, socket.SOCK_STREAM)
client_sock.connect(str(temp_socket_path))
request = {
"tool": "sensitive_tool",
"params": {"password": "secret123", "token": "abc123"}
}
client_sock.sendall(json.dumps(request).encode('utf-8'))
client_sock.shutdown(socket.SHUT_WR)
# Receive response
response_data = b''
while True:
chunk = client_sock.recv(4096)
if not chunk:
break
response_data += chunk
client_sock.close()
# Verify audit log was called
mock_audit_logger.log.assert_called()
# Get the log call arguments
log_call = mock_audit_logger.log.call_args
# Verify tool name is in log
log_str = str(log_call)
assert "sensitive_tool" in log_str
# Verify sensitive parameters are NOT in log
assert "secret123" not in log_str
assert "abc123" not in log_str
finally:
bridge.stop()
@pytest.mark.asyncio
async def test_socket_cleanup_on_error(temp_socket_path, mock_client_manager, mock_audit_logger):
"""Test that socket is cleaned up even if server encounters error."""
bridge = ToolBridgeServer(
socket_path=temp_socket_path,
client_manager=mock_client_manager,
audit_logger=mock_audit_logger
)
bridge.start()
assert temp_socket_path.exists()
# Stop should cleanup
bridge.stop()
assert not temp_socket_path.exists()

249
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@ -0,0 +1,249 @@
"""Tests for MCP Client Wrapper."""
import pytest
from unittest.mock import Mock, AsyncMock, patch
from mcp_forge.mcp.client import MCPClientWrapper
@pytest.fixture
def mock_fastmcp_client():
"""Mock fastmcp Client."""
client = AsyncMock()
# Create tool mocks with actual string names (not Mock.name)
tool1 = Mock()
tool1.name = "tool1"
tool1.description = "Tool 1"
tool1.inputSchema = {"type": "object", "properties": {}}
tool2 = Mock()
tool2.name = "tool2"
tool2.description = "Tool 2"
tool2.inputSchema = {"type": "object", "properties": {}}
# Mock list_tools to return tool objects
client.list_tools = AsyncMock(return_value=Mock(tools=[tool1, tool2]))
# Mock call_tool to return result with data
client.call_tool = AsyncMock(return_value=Mock(
data="result",
content=[Mock(text="result")],
is_error=False
))
# Mock context manager
client.__aenter__ = AsyncMock(return_value=client)
client.__aexit__ = AsyncMock(return_value=None)
return client
@pytest.mark.asyncio
async def test_connect_success(mock_fastmcp_client):
"""Test successful connection to MCP server."""
with patch('mcp_forge.mcp.client.Client', return_value=mock_fastmcp_client):
client = MCPClientWrapper(
name="test-server",
command="python",
args=["-m", "test_server"]
)
assert not client.is_connected()
await client.connect()
assert client.is_connected()
mock_fastmcp_client.__aenter__.assert_called_once()
@pytest.mark.asyncio
async def test_connect_with_env(mock_fastmcp_client):
"""Test connection with environment variables."""
with patch('mcp_forge.mcp.client.Client', return_value=mock_fastmcp_client):
env = {"API_KEY": "test123", "DEBUG": "true"}
client = MCPClientWrapper(
name="test-server",
command="python",
args=["-m", "test_server"],
env=env
)
await client.connect()
assert client.is_connected()
assert client.env == env
@pytest.mark.asyncio
async def test_disconnect(mock_fastmcp_client):
"""Test disconnect from MCP server."""
with patch('mcp_forge.mcp.client.Client', return_value=mock_fastmcp_client):
client = MCPClientWrapper(
name="test-server",
command="python",
args=["-m", "test_server"]
)
await client.connect()
assert client.is_connected()
await client.disconnect()
assert not client.is_connected()
mock_fastmcp_client.__aexit__.assert_called_once()
@pytest.mark.asyncio
async def test_list_tools(mock_fastmcp_client):
"""Test listing available tools."""
with patch('mcp_forge.mcp.client.Client', return_value=mock_fastmcp_client):
client = MCPClientWrapper(
name="test-server",
command="python",
args=["-m", "test_server"]
)
await client.connect()
tools = await client.list_tools()
assert tools == ["tool1", "tool2"]
mock_fastmcp_client.list_tools.assert_called_once()
@pytest.mark.asyncio
async def test_list_tools_not_connected():
"""Test list_tools raises error when not connected."""
client = MCPClientWrapper(
name="test-server",
command="python",
args=["-m", "test_server"]
)
with pytest.raises(RuntimeError, match="not connected"):
await client.list_tools()
@pytest.mark.asyncio
async def test_get_tool_schema(mock_fastmcp_client):
"""Test getting tool schema."""
with patch('mcp_forge.mcp.client.Client', return_value=mock_fastmcp_client):
client = MCPClientWrapper(
name="test-server",
command="python",
args=["-m", "test_server"]
)
await client.connect()
schema = await client.get_tool_schema("tool1")
assert schema == {"type": "object", "properties": {}}
@pytest.mark.asyncio
async def test_get_tool_schema_not_found(mock_fastmcp_client):
"""Test get_tool_schema raises error for unknown tool."""
with patch('mcp_forge.mcp.client.Client', return_value=mock_fastmcp_client):
client = MCPClientWrapper(
name="test-server",
command="python",
args=["-m", "test_server"]
)
await client.connect()
with pytest.raises(KeyError, match="Tool 'unknown' not found"):
await client.get_tool_schema("unknown")
@pytest.mark.asyncio
async def test_call_tool_success(mock_fastmcp_client):
"""Test successful tool call."""
with patch('mcp_forge.mcp.client.Client', return_value=mock_fastmcp_client):
client = MCPClientWrapper(
name="test-server",
command="python",
args=["-m", "test_server"]
)
await client.connect()
result = await client.call_tool("tool1", {"param": "value"})
assert result == "result"
mock_fastmcp_client.call_tool.assert_called_once_with("tool1", {"param": "value"})
@pytest.mark.asyncio
async def test_call_tool_not_connected():
"""Test call_tool raises error when not connected."""
client = MCPClientWrapper(
name="test-server",
command="python",
args=["-m", "test_server"]
)
with pytest.raises(RuntimeError, match="not connected"):
await client.call_tool("tool1", {})
@pytest.mark.asyncio
async def test_call_tool_failure(mock_fastmcp_client):
"""Test tool call failure handling."""
mock_fastmcp_client.call_tool = AsyncMock(side_effect=Exception("Tool failed"))
with patch('mcp_forge.mcp.client.Client', return_value=mock_fastmcp_client):
client = MCPClientWrapper(
name="test-server",
command="python",
args=["-m", "test_server"]
)
await client.connect()
with pytest.raises(RuntimeError, match="Tool call failed.*Tool failed"):
await client.call_tool("tool1", {})
@pytest.mark.asyncio
async def test_connection_failure():
"""Test connection failure handling."""
failing_client = AsyncMock()
failing_client.__aenter__ = AsyncMock(side_effect=Exception("Connection failed"))
with patch('mcp_forge.mcp.client.Client', return_value=failing_client):
client = MCPClientWrapper(
name="test-server",
command="python",
args=["-m", "test_server"]
)
with pytest.raises(RuntimeError, match="Failed to connect.*Connection failed"):
await client.connect()
assert not client.is_connected()
@pytest.mark.asyncio
async def test_reconnect(mock_fastmcp_client):
"""Test reconnection after disconnect."""
with patch('mcp_forge.mcp.client.Client', return_value=mock_fastmcp_client):
client = MCPClientWrapper(
name="test-server",
command="python",
args=["-m", "test_server"]
)
# First connection
await client.connect()
assert client.is_connected()
# Disconnect
await client.disconnect()
assert not client.is_connected()
# Reconnect
await client.connect()
assert client.is_connected()
# Should be able to use tools
tools = await client.list_tools()
assert tools == ["tool1", "tool2"]

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@ -0,0 +1,114 @@
"""Tests for HTTP and SSE transport support in MCP client."""
import pytest
from mcp_forge.mcp.client import MCPClientWrapper
def test_stdio_transport_creation():
"""Test creating a client with stdio transport."""
client = MCPClientWrapper(
name="test_stdio",
transport_type="stdio",
command="python",
args=["-m", "server"],
env={"KEY": "value"}
)
assert client.name == "test_stdio"
assert client.transport_type == "stdio"
assert client.command == "python"
assert client.args == ["-m", "server"]
assert client.env == {"KEY": "value"}
assert client.transport is not None
def test_http_transport_creation():
"""Test creating a client with HTTP transport."""
client = MCPClientWrapper(
name="test_http",
transport_type="http",
url="http://localhost:8006/mcp",
headers={"Authorization": "Bearer token123"}
)
assert client.name == "test_http"
assert client.transport_type == "http"
assert client.url == "http://localhost:8006/mcp"
assert client.headers == {"Authorization": "Bearer token123"}
assert client.transport is not None
def test_sse_transport_creation():
"""Test creating a client with SSE transport."""
client = MCPClientWrapper(
name="test_sse",
transport_type="sse",
url="http://localhost:9000/events",
headers={"X-Custom": "value"}
)
assert client.name == "test_sse"
assert client.transport_type == "sse"
assert client.url == "http://localhost:9000/events"
assert client.headers == {"X-Custom": "value"}
assert client.transport is not None
def test_stdio_without_command_raises_error():
"""Test that stdio transport requires a command."""
with pytest.raises(ValueError, match="command required for stdio transport"):
MCPClientWrapper(
name="test_stdio",
transport_type="stdio"
)
def test_http_without_url_raises_error():
"""Test that HTTP transport requires a URL."""
with pytest.raises(ValueError, match="url required for http transport"):
MCPClientWrapper(
name="test_http",
transport_type="http"
)
def test_sse_without_url_raises_error():
"""Test that SSE transport requires a URL."""
with pytest.raises(ValueError, match="url required for sse transport"):
MCPClientWrapper(
name="test_sse",
transport_type="sse"
)
def test_invalid_transport_type_raises_error():
"""Test that an invalid transport type raises an error."""
with pytest.raises(ValueError, match="Unknown transport type"):
MCPClientWrapper(
name="test_invalid",
transport_type="invalid"
)
def test_http_transport_with_empty_headers():
"""Test HTTP transport with empty headers dict."""
client = MCPClientWrapper(
name="test_http",
transport_type="http",
url="http://localhost:8006/mcp"
)
assert client.headers == {}
assert client.transport is not None
def test_default_stdio_transport():
"""Test that stdio is the default transport type."""
client = MCPClientWrapper(
name="test_default",
command="python",
args=["-m", "server"]
)
assert client.transport_type == "stdio"
assert client.command == "python"

227
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"""Tests for Tool Injection Generator."""
import pytest
import ast
from unittest.mock import AsyncMock
from mcp_forge.mcp.injection import ToolInjectionGenerator
@pytest.fixture
def mock_client_manager():
"""Create mock MCP client manager with tools."""
manager = AsyncMock()
# Tool schemas
manager.get_tool_schema = AsyncMock(side_effect=lambda tool_name: {
"read_file": {
"type": "object",
"properties": {
"path": {"type": "string", "description": "File path to read"},
"encoding": {"type": "string", "description": "File encoding"}
},
"required": ["path"]
},
"write_file": {
"type": "object",
"properties": {
"path": {"type": "string", "description": "File path to write"},
"content": {"type": "string", "description": "Content to write"},
"mode": {"type": "string", "description": "Write mode"}
},
"required": ["path", "content"]
},
"calculate": {
"type": "object",
"properties": {
"expression": {"type": "string", "description": "Math expression"},
"precision": {"type": "integer", "description": "Decimal precision"}
},
"required": ["expression"]
}
}[tool_name])
return manager
@pytest.mark.asyncio
async def test_generate_injection_code_is_valid_python(mock_client_manager):
"""Test that generated code is valid Python."""
generator = ToolInjectionGenerator(mock_client_manager)
code = await generator.generate_injection_code(
tool_names=["read_file", "write_file"],
bridge_socket_path="/tmp/bridge.sock"
)
# Try to parse the generated code
try:
ast.parse(code)
except SyntaxError as e:
pytest.fail(f"Generated code has syntax error: {e}")
@pytest.mark.asyncio
async def test_generated_code_includes_bridge_client(mock_client_manager):
"""Test that generated code includes bridge client."""
generator = ToolInjectionGenerator(mock_client_manager)
code = await generator.generate_injection_code(
tool_names=["read_file"],
bridge_socket_path="/tmp/bridge.sock"
)
# Verify bridge client function is included
assert "_mcp_call" in code
assert "socket.socket" in code
assert "socket.AF_UNIX" in code
assert "/tmp/bridge.sock" in code
@pytest.mark.asyncio
async def test_generated_code_includes_tool_functions(mock_client_manager):
"""Test that generated code includes wrapper functions for each tool."""
generator = ToolInjectionGenerator(mock_client_manager)
code = await generator.generate_injection_code(
tool_names=["read_file", "write_file", "calculate"],
bridge_socket_path="/tmp/bridge.sock"
)
# Verify tool functions are defined
assert "def read_file(" in code
assert "def write_file(" in code
assert "def calculate(" in code
@pytest.mark.asyncio
async def test_function_signatures_match_schemas(mock_client_manager):
"""Test that function signatures match tool schemas."""
generator = ToolInjectionGenerator(mock_client_manager)
code = await generator.generate_injection_code(
tool_names=["read_file", "write_file"],
bridge_socket_path="/tmp/bridge.sock"
)
# read_file has path (required) and encoding (optional)
assert "def read_file(path: str, encoding: str = None)" in code
# write_file has path, content (required) and mode (optional)
assert "def write_file(path: str, content: str, mode: str = None)" in code
@pytest.mark.asyncio
async def test_generated_functions_have_docstrings(mock_client_manager):
"""Test that generated functions have docstrings."""
generator = ToolInjectionGenerator(mock_client_manager)
code = await generator.generate_injection_code(
tool_names=["read_file"],
bridge_socket_path="/tmp/bridge.sock"
)
# Verify docstring is present (contains parameter descriptions)
assert '"""' in code
assert "File path to read" in code or "path:" in code.lower()
@pytest.mark.asyncio
async def test_generated_functions_call_bridge(mock_client_manager):
"""Test that generated functions call _mcp_call."""
generator = ToolInjectionGenerator(mock_client_manager)
code = await generator.generate_injection_code(
tool_names=["read_file"],
bridge_socket_path="/tmp/bridge.sock"
)
# Verify function calls _mcp_call with tool name
lines = code.split('\n')
in_read_file = False
found_call = False
for line in lines:
if "def read_file(" in line:
in_read_file = True
if in_read_file and "_mcp_call" in line and "read_file" in line:
found_call = True
break
assert found_call, "Generated function should call _mcp_call with tool name"
@pytest.mark.asyncio
async def test_type_hints_from_schema(mock_client_manager):
"""Test that type hints are generated from schema types."""
generator = ToolInjectionGenerator(mock_client_manager)
code = await generator.generate_injection_code(
tool_names=["calculate"],
bridge_socket_path="/tmp/bridge.sock"
)
# calculate has string expression and integer precision
assert "expression: str" in code
assert "precision: int" in code or "precision: " in code
@pytest.mark.asyncio
async def test_required_vs_optional_parameters(mock_client_manager):
"""Test that required and optional parameters are handled correctly."""
generator = ToolInjectionGenerator(mock_client_manager)
code = await generator.generate_injection_code(
tool_names=["read_file"],
bridge_socket_path="/tmp/bridge.sock"
)
# path is required (no default), encoding is optional (has default)
assert "def read_file(path: str, encoding: str = None)" in code or \
"def read_file(path: str, encoding: " in code
@pytest.mark.asyncio
async def test_generated_code_has_imports(mock_client_manager):
"""Test that generated code includes necessary imports."""
generator = ToolInjectionGenerator(mock_client_manager)
code = await generator.generate_injection_code(
tool_names=["read_file"],
bridge_socket_path="/tmp/bridge.sock"
)
# Verify imports
assert "import socket" in code
assert "import json" in code
assert "from typing import Any" in code or "typing" in code
@pytest.mark.asyncio
async def test_empty_tool_list(mock_client_manager):
"""Test handling of empty tool list."""
generator = ToolInjectionGenerator(mock_client_manager)
code = await generator.generate_injection_code(
tool_names=[],
bridge_socket_path="/tmp/bridge.sock"
)
# Should still include bridge client
assert "_mcp_call" in code
# But no tool functions
assert "def read_file(" not in code
@pytest.mark.asyncio
async def test_custom_socket_path(mock_client_manager):
"""Test that custom socket path is used correctly."""
generator = ToolInjectionGenerator(mock_client_manager)
custom_path = "/custom/path/to/socket.sock"
code = await generator.generate_injection_code(
tool_names=["read_file"],
bridge_socket_path=custom_path
)
# Verify custom path is in generated code
assert custom_path in code

245
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@ -0,0 +1,245 @@
"""Tests for MCP Client Manager."""
import pytest
from unittest.mock import AsyncMock, patch
from mcp_forge.mcp.manager import MCPClientManager
@pytest.fixture
def mock_client1():
"""Create mock MCP client 1."""
client = AsyncMock()
client.name = "client1"
client.is_connected.return_value = False
client.connect = AsyncMock()
client.disconnect = AsyncMock()
client.list_tools = AsyncMock(return_value=["tool1", "tool2"])
client.get_tool_schema = AsyncMock(return_value={
"type": "object",
"properties": {"param1": {"type": "string"}}
})
client.call_tool = AsyncMock(return_value={"result": "success"})
return client
@pytest.fixture
def mock_client2():
"""Create mock MCP client 2."""
client = AsyncMock()
client.name = "client2"
client.is_connected.return_value = False
client.connect = AsyncMock()
client.disconnect = AsyncMock()
client.list_tools = AsyncMock(return_value=["tool3", "tool4"])
client.get_tool_schema = AsyncMock(return_value={
"type": "object",
"properties": {"param2": {"type": "number"}}
})
client.call_tool = AsyncMock(return_value={"result": "success2"})
return client
@pytest.fixture
def client_config():
"""Create test client configuration."""
return {
"client1": {
"command": "python",
"args": ["server1.py"],
"env": {"KEY1": "value1"}
},
"client2": {
"command": "python",
"args": ["server2.py"],
"env": {"KEY2": "value2"}
}
}
@pytest.mark.asyncio
async def test_initialize_clients_from_config(mock_client1, mock_client2, client_config):
"""Test initializing clients from configuration."""
with patch('mcp_forge.mcp.manager.MCPClientWrapper') as mock_wrapper:
# Setup mock to return different clients for different configs
mock_wrapper.side_effect = [mock_client1, mock_client2]
manager = MCPClientManager(client_config)
await manager.initialize()
# Verify clients were created with correct config
assert mock_wrapper.call_count == 2
# Verify first client created with correct params
call1 = mock_wrapper.call_args_list[0]
assert call1[1]["name"] == "client1"
assert call1[1]["command"] == "python"
assert call1[1]["args"] == ["server1.py"]
assert call1[1]["env"] == {"KEY1": "value1"}
# Verify second client created with correct params
call2 = mock_wrapper.call_args_list[1]
assert call2[1]["name"] == "client2"
assert call2[1]["command"] == "python"
assert call2[1]["args"] == ["server2.py"]
assert call2[1]["env"] == {"KEY2": "value2"}
# Verify clients were connected
mock_client1.connect.assert_called_once()
mock_client2.connect.assert_called_once()
# Verify tools were listed
mock_client1.list_tools.assert_called_once()
mock_client2.list_tools.assert_called_once()
@pytest.mark.asyncio
async def test_get_client_for_tool(mock_client1, mock_client2, client_config):
"""Test getting client that provides a specific tool."""
with patch('mcp_forge.mcp.manager.MCPClientWrapper') as mock_wrapper:
mock_wrapper.side_effect = [mock_client1, mock_client2]
manager = MCPClientManager(client_config)
await manager.initialize()
# Get client for tool1 (from client1)
client = await manager.get_client_for_tool("tool1")
assert client == mock_client1
# Get client for tool3 (from client2)
client = await manager.get_client_for_tool("tool3")
assert client == mock_client2
@pytest.mark.asyncio
async def test_get_client_for_unknown_tool(mock_client1, mock_client2, client_config):
"""Test getting client for tool that doesn't exist."""
with patch('mcp_forge.mcp.manager.MCPClientWrapper') as mock_wrapper:
mock_wrapper.side_effect = [mock_client1, mock_client2]
manager = MCPClientManager(client_config)
await manager.initialize()
# Try to get client for non-existent tool
with pytest.raises(KeyError, match="Tool 'unknown_tool' not found"):
await manager.get_client_for_tool("unknown_tool")
@pytest.mark.asyncio
async def test_list_all_tools(mock_client1, mock_client2, client_config):
"""Test listing all tools across all clients."""
with patch('mcp_forge.mcp.manager.MCPClientWrapper') as mock_wrapper:
mock_wrapper.side_effect = [mock_client1, mock_client2]
manager = MCPClientManager(client_config)
await manager.initialize()
tools = await manager.list_all_tools()
# Should have all tools from both clients
assert set(tools) == {"tool1", "tool2", "tool3", "tool4"}
@pytest.mark.asyncio
async def test_detect_tool_name_collision():
"""Test detection of tool name collisions across clients."""
# Create clients with overlapping tool names
client1 = AsyncMock()
client1.name = "client1"
client1.connect = AsyncMock()
client1.list_tools = AsyncMock(return_value=["tool1", "tool2"])
client2 = AsyncMock()
client2.name = "client2"
client2.connect = AsyncMock()
client2.list_tools = AsyncMock(return_value=["tool2", "tool3"]) # tool2 collision!
config = {
"client1": {"command": "python", "args": ["server1.py"]},
"client2": {"command": "python", "args": ["server2.py"]}
}
with patch('mcp_forge.mcp.manager.MCPClientWrapper') as mock_wrapper:
mock_wrapper.side_effect = [client1, client2]
manager = MCPClientManager(config)
# Should raise ValueError about collision during initialization
with pytest.raises(ValueError, match="Tool name collision.*tool2.*client1.*client2"):
await manager.initialize()
@pytest.mark.asyncio
async def test_get_tool_schema(mock_client1, mock_client2, client_config):
"""Test getting tool schema via manager."""
with patch('mcp_forge.mcp.manager.MCPClientWrapper') as mock_wrapper:
mock_wrapper.side_effect = [mock_client1, mock_client2]
manager = MCPClientManager(client_config)
await manager.initialize()
# Get schema for tool1 (from client1)
schema = await manager.get_tool_schema("tool1")
assert schema == {"type": "object", "properties": {"param1": {"type": "string"}}}
mock_client1.get_tool_schema.assert_called_once_with("tool1")
# Get schema for tool3 (from client2)
schema = await manager.get_tool_schema("tool3")
assert schema == {"type": "object", "properties": {"param2": {"type": "number"}}}
mock_client2.get_tool_schema.assert_called_once_with("tool3")
@pytest.mark.asyncio
async def test_call_tool(mock_client1, mock_client2, client_config):
"""Test calling tool via manager."""
with patch('mcp_forge.mcp.manager.MCPClientWrapper') as mock_wrapper:
mock_wrapper.side_effect = [mock_client1, mock_client2]
manager = MCPClientManager(client_config)
await manager.initialize()
# Call tool1 (from client1)
result = await manager.call_tool("tool1", {"param1": "value"})
assert result == {"result": "success"}
mock_client1.call_tool.assert_called_once_with("tool1", {"param1": "value"})
# Call tool3 (from client2)
result = await manager.call_tool("tool3", {"param2": 42})
assert result == {"result": "success2"}
mock_client2.call_tool.assert_called_once_with("tool3", {"param2": 42})
@pytest.mark.asyncio
async def test_shutdown_all_clients(mock_client1, mock_client2, client_config):
"""Test shutting down all clients."""
with patch('mcp_forge.mcp.manager.MCPClientWrapper') as mock_wrapper:
mock_wrapper.side_effect = [mock_client1, mock_client2]
manager = MCPClientManager(client_config)
await manager.initialize()
# Shutdown all clients
await manager.shutdown()
# Verify both clients were disconnected
mock_client1.disconnect.assert_called_once()
mock_client2.disconnect.assert_called_once()
@pytest.mark.asyncio
async def test_manager_before_initialization():
"""Test that manager methods fail before initialization."""
config = {"client1": {"command": "python", "args": ["server.py"]}}
manager = MCPClientManager(config)
# Should raise RuntimeError if not initialized
with pytest.raises(RuntimeError, match="Manager not initialized"):
await manager.list_all_tools()
with pytest.raises(RuntimeError, match="Manager not initialized"):
await manager.get_client_for_tool("tool1")
with pytest.raises(RuntimeError, match="Manager not initialized"):
await manager.get_tool_schema("tool1")
with pytest.raises(RuntimeError, match="Manager not initialized"):
await manager.call_tool("tool1", {})

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"""
Tests for Secure Container Manager.
Following TDD approach - these tests are written before implementation.
Tests cover all requirements from todo.md section 1.3.2.
All tests use mocked Podman client (no actual containers needed).
"""
import pytest
from datetime import datetime, timedelta
from unittest.mock import MagicMock, Mock, patch, call
from pathlib import Path
def test_create_container_with_valid_params_succeeds():
"""Test that container creation with valid params succeeds."""
from mcp_forge.podman.containers import ContainerConfig, SecureContainerManager
from mcp_forge.podman.client import PodmanClient
from mcp_forge.security.allowlist import OperationValidator
from mcp_forge.security.audit import AuditLogger, AuditEventType
from mcp_forge.security.resource_limits import ResourceLimits
from mcp_forge.config.schema import SecurityConfig
# Setup mocks
mock_podman_client = MagicMock(spec=PodmanClient)
mock_container = MagicMock()
mock_container.id = "abc123"
mock_podman_client.client.containers.create.return_value = mock_container
audit_logger = AuditLogger(Path("/tmp/test_audit.log"))
validator = OperationValidator(SecurityConfig(audit_log=Path("/tmp/test_audit.log")))
manager = SecureContainerManager(
podman_client=mock_podman_client,
validator=validator,
audit_logger=audit_logger
)
config = ContainerConfig(
image="mcp-forge/python:3.11",
command=["python", "-c", "print('hello')"],
resource_limits=ResourceLimits(memory="512m", storage="1g", cpu_quota=100000)
)
container_id = manager.create_container(config, session_id="test-session-1")
assert container_id == "abc123"
mock_podman_client.client.containers.create.assert_called_once()
def test_create_container_with_forbidden_params_raises_security_error():
"""Test that forbidden parameters raise SecurityError."""
from mcp_forge.podman.containers import ContainerConfig, SecureContainerManager
from mcp_forge.podman.client import PodmanClient
from mcp_forge.security.allowlist import OperationValidator, SecurityError
from mcp_forge.security.audit import AuditLogger
from mcp_forge.config.schema import SecurityConfig
mock_podman_client = MagicMock(spec=PodmanClient)
audit_logger = AuditLogger(Path("/tmp/test_audit.log"))
validator = OperationValidator(SecurityConfig(audit_log=Path("/tmp/test_audit.log")))
manager = SecureContainerManager(
podman_client=mock_podman_client,
validator=validator,
audit_logger=audit_logger
)
config = ContainerConfig(
image="mcp-forge/python:3.11",
command=["python", "-c", "print('hello')"]
)
# Try to override security params (should be caught in to_podman_params or validation)
with pytest.raises(SecurityError):
# This should fail validation
manager.create_container(config, session_id="test-session", privileged=True)
def test_create_container_with_invalid_image_raises_security_error():
"""Test that invalid/disallowed images raise SecurityError."""
from mcp_forge.podman.containers import ContainerConfig, SecureContainerManager
from mcp_forge.podman.client import PodmanClient
from mcp_forge.security.allowlist import OperationValidator, SecurityError
from mcp_forge.security.audit import AuditLogger
from mcp_forge.config.schema import SecurityConfig
mock_podman_client = MagicMock(spec=PodmanClient)
audit_logger = AuditLogger(Path("/tmp/test_audit.log"))
validator = OperationValidator(SecurityConfig(audit_log=Path("/tmp/test_audit.log")))
manager = SecureContainerManager(
podman_client=mock_podman_client,
validator=validator,
audit_logger=audit_logger
)
config = ContainerConfig(
image="evil/malicious:latest",
command=["python", "-c", "print('hello')"]
)
with pytest.raises(SecurityError) as exc_info:
manager.create_container(config, session_id="test-session")
assert "image" in str(exc_info.value).lower()
def test_create_container_enforces_required_parameters():
"""Test that required security parameters are enforced."""
from mcp_forge.podman.containers import ContainerConfig
config = ContainerConfig(
image="mcp-forge/python:3.11",
command=["python", "-c", "print('hello')"]
)
params = config.to_podman_params()
# Check required security parameters
assert params["network_mode"] == "none"
assert params["read_only"] is True
assert "no-new-privileges" in params["security_opt"]
assert params["user"] == "1000:1000"
def test_resource_limits_are_applied_correctly():
"""Test that resource limits are correctly applied."""
from mcp_forge.podman.containers import ContainerConfig
from mcp_forge.security.resource_limits import ResourceLimits
limits = ResourceLimits(
memory="1g",
storage="2g",
cpu_quota=200000
)
config = ContainerConfig(
image="mcp-forge/python:3.11",
resource_limits=limits
)
params = config.to_podman_params()
assert params["mem_limit"] == "1073741824" # 1GB in bytes as string
assert params["cpu_quota"] == 200000
assert params["storage_opt"]["size"] == "2147483648" # 2GB in bytes as string
def test_volume_mounts_are_validated():
"""Test that volume mounts are validated against allowlist."""
from mcp_forge.podman.containers import ContainerConfig, SecureContainerManager
from mcp_forge.podman.client import PodmanClient
from mcp_forge.security.allowlist import OperationValidator, SecurityError
from mcp_forge.security.audit import AuditLogger
from mcp_forge.config.schema import SecurityConfig
mock_podman_client = MagicMock(spec=PodmanClient)
audit_logger = AuditLogger(Path("/tmp/test_audit.log"))
validator = OperationValidator(SecurityConfig(audit_log=Path("/tmp/test_audit.log")))
manager = SecureContainerManager(
podman_client=mock_podman_client,
validator=validator,
audit_logger=audit_logger
)
# Valid mount (session path)
config = ContainerConfig(
image="mcp-forge/python:3.11",
volumes={"/mcp-forge/sessions/test-session-1/workspace": {"bind": "/workspace", "mode": "rw"}}
)
# This should succeed (valid session path)
mock_container = MagicMock()
mock_container.id = "abc123"
mock_podman_client.client.containers.create.return_value = mock_container
container_id = manager.create_container(config, session_id="test-session-1")
assert container_id == "abc123"
# Invalid mount (forbidden path)
config_bad = ContainerConfig(
image="mcp-forge/python:3.11",
volumes={"/etc/passwd": {"bind": "/tmp/passwd", "mode": "r"}}
)
with pytest.raises(SecurityError):
manager.create_container(config_bad, session_id="test-session-1")
def test_start_container_on_session_container_succeeds():
"""Test that starting a session container succeeds."""
from mcp_forge.podman.containers import SecureContainerManager
from mcp_forge.podman.client import PodmanClient
from mcp_forge.security.allowlist import OperationValidator
from mcp_forge.security.audit import AuditLogger
from mcp_forge.config.schema import SecurityConfig
mock_podman_client = MagicMock(spec=PodmanClient)
mock_container = MagicMock()
mock_podman_client.client.containers.get.return_value = mock_container
audit_logger = AuditLogger(Path("/tmp/test_audit.log"))
validator = OperationValidator(SecurityConfig(audit_log=Path("/tmp/test_audit.log")))
# Register container with validator
validator.register_session_container("abc123")
manager = SecureContainerManager(
podman_client=mock_podman_client,
validator=validator,
audit_logger=audit_logger
)
manager.start_container("abc123")
mock_container.start.assert_called_once()
def test_start_container_on_non_session_container_raises_security_error():
"""Test that starting a non-session container raises SecurityError."""
from mcp_forge.podman.containers import SecureContainerManager
from mcp_forge.podman.client import PodmanClient
from mcp_forge.security.allowlist import OperationValidator, SecurityError
from mcp_forge.security.audit import AuditLogger
from mcp_forge.config.schema import SecurityConfig
mock_podman_client = MagicMock(spec=PodmanClient)
audit_logger = AuditLogger(Path("/tmp/test_audit.log"))
validator = OperationValidator(SecurityConfig(audit_log=Path("/tmp/test_audit.log")))
manager = SecureContainerManager(
podman_client=mock_podman_client,
validator=validator,
audit_logger=audit_logger
)
# Try to start container not registered with validator
with pytest.raises(SecurityError):
manager.start_container("unknown123")
def test_stop_container_works():
"""Test that stopping a container works."""
from mcp_forge.podman.containers import SecureContainerManager
from mcp_forge.podman.client import PodmanClient
from mcp_forge.security.allowlist import OperationValidator
from mcp_forge.security.audit import AuditLogger
from mcp_forge.config.schema import SecurityConfig
mock_podman_client = MagicMock(spec=PodmanClient)
mock_container = MagicMock()
mock_podman_client.client.containers.get.return_value = mock_container
audit_logger = AuditLogger(Path("/tmp/test_audit.log"))
validator = OperationValidator(SecurityConfig(audit_log=Path("/tmp/test_audit.log")))
# Register container
validator.register_session_container("abc123")
manager = SecureContainerManager(
podman_client=mock_podman_client,
validator=validator,
audit_logger=audit_logger
)
manager.stop_container("abc123", timeout=10)
mock_container.stop.assert_called_once_with(timeout=10)
def test_remove_container_works():
"""Test that removing a container works."""
from mcp_forge.podman.containers import SecureContainerManager
from mcp_forge.podman.client import PodmanClient
from mcp_forge.security.allowlist import OperationValidator
from mcp_forge.security.audit import AuditLogger
from mcp_forge.config.schema import SecurityConfig
mock_podman_client = MagicMock(spec=PodmanClient)
mock_container = MagicMock()
mock_podman_client.client.containers.get.return_value = mock_container
audit_logger = AuditLogger(Path("/tmp/test_audit.log"))
validator = OperationValidator(SecurityConfig(audit_log=Path("/tmp/test_audit.log")))
# Register container
validator.register_session_container("abc123")
manager = SecureContainerManager(
podman_client=mock_podman_client,
validator=validator,
audit_logger=audit_logger
)
manager.remove_container("abc123", force=True)
mock_container.remove.assert_called_once_with(force=True)
def test_cleanup_old_containers():
"""Test cleanup of old containers."""
from mcp_forge.podman.containers import SecureContainerManager
from mcp_forge.podman.client import PodmanClient
from mcp_forge.security.allowlist import OperationValidator
from mcp_forge.security.audit import AuditLogger
from mcp_forge.config.schema import SecurityConfig
mock_podman_client = MagicMock(spec=PodmanClient)
# Create mock old and new containers
old_container = MagicMock()
old_container.id = "old123"
old_container.attrs = {
"Created": (datetime.now() - timedelta(hours=25)).isoformat(),
"Labels": {"mcp-forge.session": "old-session"}
}
new_container = MagicMock()
new_container.id = "new123"
new_container.attrs = {
"Created": datetime.now().isoformat(),
"Labels": {"mcp-forge.session": "new-session"}
}
mock_podman_client.client.containers.list.return_value = [old_container, new_container]
audit_logger = AuditLogger(Path("/tmp/test_audit.log"))
validator = OperationValidator(SecurityConfig(audit_log=Path("/tmp/test_audit.log")))
manager = SecureContainerManager(
podman_client=mock_podman_client,
validator=validator,
audit_logger=audit_logger
)
count = manager.cleanup_old_containers(max_age=timedelta(hours=24))
assert count == 1
old_container.remove.assert_called_once_with(force=True)
new_container.remove.assert_not_called()
def test_get_container_logs():
"""Test getting container logs."""
from mcp_forge.podman.containers import SecureContainerManager
from mcp_forge.podman.client import PodmanClient
from mcp_forge.security.allowlist import OperationValidator
from mcp_forge.security.audit import AuditLogger
from mcp_forge.config.schema import SecurityConfig
mock_podman_client = MagicMock(spec=PodmanClient)
mock_container = MagicMock()
mock_container.logs.return_value = b"stdout output\nstderr output"
mock_podman_client.client.containers.get.return_value = mock_container
audit_logger = AuditLogger(Path("/tmp/test_audit.log"))
validator = OperationValidator(SecurityConfig(audit_log=Path("/tmp/test_audit.log")))
# Register container
validator.register_session_container("abc123")
manager = SecureContainerManager(
podman_client=mock_podman_client,
validator=validator,
audit_logger=audit_logger
)
stdout, stderr = manager.get_container_logs("abc123", tail=100)
assert "output" in stdout or "output" in stderr
mock_container.logs.assert_called()
def test_wait_for_container():
"""Test waiting for container to exit."""
from mcp_forge.podman.containers import SecureContainerManager
from mcp_forge.podman.client import PodmanClient
from mcp_forge.security.allowlist import OperationValidator
from mcp_forge.security.audit import AuditLogger
from mcp_forge.config.schema import SecurityConfig
mock_podman_client = MagicMock(spec=PodmanClient)
mock_container = MagicMock()
mock_container.wait.return_value = {"StatusCode": 0}
mock_podman_client.client.containers.get.return_value = mock_container
audit_logger = AuditLogger(Path("/tmp/test_audit.log"))
validator = OperationValidator(SecurityConfig(audit_log=Path("/tmp/test_audit.log")))
# Register container
validator.register_session_container("abc123")
manager = SecureContainerManager(
podman_client=mock_podman_client,
validator=validator,
audit_logger=audit_logger
)
exit_code = manager.wait_for_container("abc123", timeout=300)
assert exit_code == 0
mock_container.wait.assert_called_once_with(timeout=300)
def test_container_config_to_podman_params_includes_all_security_settings():
"""Test that ContainerConfig.to_podman_params includes all required settings."""
from mcp_forge.podman.containers import ContainerConfig
from mcp_forge.security.resource_limits import ResourceLimits
config = ContainerConfig(
image="mcp-forge/python:3.11",
command=["python", "-m", "test"],
environment={"VAR1": "value1"},
volumes={"/mcp-forge/sessions/sess-1/work": {"bind": "/workspace", "mode": "rw"}},
resource_limits=ResourceLimits(memory="512m", storage="1g", cpu_quota=100000),
working_dir="/workspace",
user="1000:1000"
)
params = config.to_podman_params()
# Required security settings
assert params["network_mode"] == "none"
assert params["read_only"] is True
assert "no-new-privileges" in params["security_opt"]
assert params["user"] == "1000:1000"
# Configuration passthrough
assert params["image"] == "mcp-forge/python:3.11"
assert params["command"] == ["python", "-m", "test"]
assert params["environment"] == {"VAR1": "value1"}
assert params["working_dir"] == "/workspace"
# Resource limits
assert "mem_limit" in params
assert "cpu_quota" in params

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"""
Tests for Podman client wrapper.
Following TDD approach - these tests are written before implementation.
Tests cover all requirements from todo.md section 1.3.1.
All tests use mocked Podman client (no actual Podman needed).
"""
import pytest
from pathlib import Path
from unittest.mock import Mock, MagicMock, patch
def test_connection_to_podman_socket_succeeds(tmp_path):
"""Test that connection to Podman socket succeeds."""
from mcp_forge.podman.client import PodmanClient
from mcp_forge.security.audit import AuditLogger
from mcp_forge.security.allowlist import OperationValidator
from mcp_forge.config.schema import SecurityConfig
socket_path = tmp_path / "podman.sock"
socket_path.touch() # Create fake socket file
audit_logger = AuditLogger(tmp_path / "audit.log")
validator = OperationValidator(SecurityConfig(audit_log=tmp_path / "audit.log"))
client = PodmanClient(
socket_path=socket_path,
validator=validator,
audit_logger=audit_logger
)
with patch('mcp_forge.podman.client.BasePodmanClient') as mock_podman:
mock_client_instance = MagicMock()
mock_client_instance.ping.return_value = "OK"
mock_podman.return_value = mock_client_instance
client.connect()
assert client._client is not None
mock_podman.assert_called_once_with(base_url=f"unix://{socket_path}")
def test_connection_failure_raises_clear_error(tmp_path):
"""Test that connection failure raises clear error."""
from mcp_forge.podman.client import PodmanClient, PodmanConnectionError
from mcp_forge.security.audit import AuditLogger
from mcp_forge.security.allowlist import OperationValidator
from mcp_forge.config.schema import SecurityConfig
socket_path = tmp_path / "nonexistent.sock"
audit_logger = AuditLogger(tmp_path / "audit.log")
validator = OperationValidator(SecurityConfig(audit_log=tmp_path / "audit.log"))
client = PodmanClient(
socket_path=socket_path,
validator=validator,
audit_logger=audit_logger
)
with patch('mcp_forge.podman.client.BasePodmanClient', side_effect=Exception("Connection failed")):
with pytest.raises(PodmanConnectionError) as exc_info:
client.connect()
assert "connection" in str(exc_info.value).lower() or "failed" in str(exc_info.value).lower()
def test_socket_path_validation(tmp_path):
"""Test that socket path is validated before connecting."""
from mcp_forge.podman.client import PodmanClient, PodmanConnectionError
from mcp_forge.security.audit import AuditLogger
from mcp_forge.security.allowlist import OperationValidator
from mcp_forge.config.schema import SecurityConfig
nonexistent_socket = tmp_path / "nonexistent.sock"
audit_logger = AuditLogger(tmp_path / "audit.log")
validator = OperationValidator(SecurityConfig(audit_log=tmp_path / "audit.log"))
client = PodmanClient(
socket_path=nonexistent_socket,
validator=validator,
audit_logger=audit_logger
)
with pytest.raises(PodmanConnectionError) as exc_info:
client.verify_socket_access()
assert "not found" in str(exc_info.value).lower() or "does not exist" in str(exc_info.value).lower()
def test_socket_permissions_check(tmp_path):
"""Test that socket permissions are checked."""
from mcp_forge.podman.client import PodmanClient
from mcp_forge.security.audit import AuditLogger
from mcp_forge.security.allowlist import OperationValidator
from mcp_forge.config.schema import SecurityConfig
socket_path = tmp_path / "podman.sock"
socket_path.touch()
socket_path.chmod(0o000) # Remove all permissions
audit_logger = AuditLogger(tmp_path / "audit.log")
validator = OperationValidator(SecurityConfig(audit_log=tmp_path / "audit.log"))
client = PodmanClient(
socket_path=socket_path,
validator=validator,
audit_logger=audit_logger
)
# verify_socket_access should check readability
# Depending on implementation, might raise error or just warn
try:
client.verify_socket_access()
except Exception as e:
# Should mention permissions or access
assert "permission" in str(e).lower() or "access" in str(e).lower() or "readable" in str(e).lower()
finally:
socket_path.chmod(0o644) # Restore for cleanup
def test_api_version_compatibility_check(tmp_path):
"""Test that API version is checked."""
from mcp_forge.podman.client import PodmanClient
from mcp_forge.security.audit import AuditLogger
from mcp_forge.security.allowlist import OperationValidator
from mcp_forge.config.schema import SecurityConfig
socket_path = tmp_path / "podman.sock"
socket_path.touch()
audit_logger = AuditLogger(tmp_path / "audit.log")
validator = OperationValidator(SecurityConfig(audit_log=tmp_path / "audit.log"))
client = PodmanClient(
socket_path=socket_path,
validator=validator,
audit_logger=audit_logger
)
with patch('mcp_forge.podman.client.BasePodmanClient') as mock_podman:
mock_client = MagicMock()
mock_client.version.return_value = {
"Version": "4.5.0",
"ApiVersion": "4.5.0"
}
mock_client.ping.return_value = "OK"
mock_podman.return_value = mock_client
client.connect()
version_info = client.check_api_version()
assert "Version" in version_info or "ApiVersion" in version_info
def test_ping_health_check(tmp_path):
"""Test that ping/health check works."""
from mcp_forge.podman.client import PodmanClient
from mcp_forge.security.audit import AuditLogger
from mcp_forge.security.allowlist import OperationValidator
from mcp_forge.config.schema import SecurityConfig
socket_path = tmp_path / "podman.sock"
socket_path.touch()
audit_logger = AuditLogger(tmp_path / "audit.log")
validator = OperationValidator(SecurityConfig(audit_log=tmp_path / "audit.log"))
client = PodmanClient(
socket_path=socket_path,
validator=validator,
audit_logger=audit_logger
)
with patch('mcp_forge.podman.client.BasePodmanClient') as mock_podman:
mock_client = MagicMock()
mock_client.ping.return_value = "OK"
mock_podman.return_value = mock_client
client.connect()
result = client.ping()
assert result is True or result == "OK"
def test_lazy_connection(tmp_path):
"""Test that connection is lazy (only connects when needed)."""
from mcp_forge.podman.client import PodmanClient
from mcp_forge.security.audit import AuditLogger
from mcp_forge.security.allowlist import OperationValidator
from mcp_forge.config.schema import SecurityConfig
socket_path = tmp_path / "podman.sock"
socket_path.touch()
audit_logger = AuditLogger(tmp_path / "audit.log")
validator = OperationValidator(SecurityConfig(audit_log=tmp_path / "audit.log"))
# Creating client should not connect
client = PodmanClient(
socket_path=socket_path,
validator=validator,
audit_logger=audit_logger
)
assert client._client is None # Not connected yet
# Accessing client property should trigger connection
with patch('mcp_forge.podman.client.BasePodmanClient') as mock_podman:
mock_client_instance = MagicMock()
mock_client_instance.ping.return_value = "OK"
mock_podman.return_value = mock_client_instance
_ = client.client
assert client._client is not None
def test_disconnect_cleanup(tmp_path):
"""Test that disconnect cleans up properly."""
from mcp_forge.podman.client import PodmanClient
from mcp_forge.security.audit import AuditLogger
from mcp_forge.security.allowlist import OperationValidator
from mcp_forge.config.schema import SecurityConfig
socket_path = tmp_path / "podman.sock"
socket_path.touch()
audit_logger = AuditLogger(tmp_path / "audit.log")
validator = OperationValidator(SecurityConfig(audit_log=tmp_path / "audit.log"))
client = PodmanClient(
socket_path=socket_path,
validator=validator,
audit_logger=audit_logger
)
with patch('mcp_forge.podman.client.BasePodmanClient') as mock_podman:
mock_client = MagicMock()
mock_client.ping.return_value = "OK"
mock_podman.return_value = mock_client
client.connect()
assert client._client is not None
client.disconnect()
assert client._client is None
def test_connection_error_includes_socket_path(tmp_path):
"""Test that connection errors include the socket path for debugging."""
from mcp_forge.podman.client import PodmanClient, PodmanConnectionError
from mcp_forge.security.audit import AuditLogger
from mcp_forge.security.allowlist import OperationValidator
from mcp_forge.config.schema import SecurityConfig
socket_path = tmp_path / "test.sock"
audit_logger = AuditLogger(tmp_path / "audit.log")
validator = OperationValidator(SecurityConfig(audit_log=tmp_path / "audit.log"))
client = PodmanClient(
socket_path=socket_path,
validator=validator,
audit_logger=audit_logger
)
with pytest.raises(PodmanConnectionError) as exc_info:
client.verify_socket_access()
assert str(socket_path) in str(exc_info.value) or socket_path.name in str(exc_info.value)
def test_client_property_auto_connects(tmp_path):
"""Test that accessing client property auto-connects if not connected."""
from mcp_forge.podman.client import PodmanClient
from mcp_forge.security.audit import AuditLogger
from mcp_forge.security.allowlist import OperationValidator
from mcp_forge.config.schema import SecurityConfig
socket_path = tmp_path / "podman.sock"
socket_path.touch()
audit_logger = AuditLogger(tmp_path / "audit.log")
validator = OperationValidator(SecurityConfig(audit_log=tmp_path / "audit.log"))
client = PodmanClient(
socket_path=socket_path,
validator=validator,
audit_logger=audit_logger
)
with patch('mcp_forge.podman.client.BasePodmanClient') as mock_podman:
mock_client = MagicMock()
mock_client.ping.return_value = "OK"
mock_podman.return_value = mock_client
# First access should trigger connect
_ = client.client
assert mock_podman.called
# Second access should reuse connection
mock_podman.reset_mock()
_ = client.client
assert not mock_podman.called # Should not connect again
def test_validator_and_audit_logger_stored(tmp_path):
"""Test that validator and audit logger are stored for later use."""
from mcp_forge.podman.client import PodmanClient
from mcp_forge.security.audit import AuditLogger
from mcp_forge.security.allowlist import OperationValidator
from mcp_forge.config.schema import SecurityConfig
socket_path = tmp_path / "podman.sock"
audit_logger = AuditLogger(tmp_path / "audit.log")
validator = OperationValidator(SecurityConfig(audit_log=tmp_path / "audit.log"))
client = PodmanClient(
socket_path=socket_path,
validator=validator,
audit_logger=audit_logger
)
assert client.validator is validator
assert client.audit_logger is audit_logger

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"""
Tests for Podman operation allowlist and validation.
Following TDD approach - these tests are written before implementation.
Tests cover all security validation requirements from todo.md section 1.2.2.
"""
import pytest
def test_allowed_operation_with_valid_params_passes():
"""Test that allowed operation with valid parameters passes validation."""
from mcp_forge.security.allowlist import OperationValidator
from mcp_forge.config.schema import SecurityConfig
from pathlib import Path
config = SecurityConfig(
audit_log=Path("/var/log/audit.log"),
enforce_resource_limits=True,
allow_network=False
)
validator = OperationValidator(config)
# Should not raise
validator.validate_container_create(
image="mcp-forge/python:3.11",
params={
"network_mode": "none",
"read_only": True,
"security_opt": ["no-new-privileges"],
"user": "1000:1000",
"memory": "536870912",
"cpu_quota": 50000
},
session_id="test-session-123"
)
def test_allowed_operation_with_forbidden_params_raises_security_error():
"""Test that allowed operation with forbidden parameters raises SecurityError."""
from mcp_forge.security.allowlist import OperationValidator, SecurityError
from mcp_forge.config.schema import SecurityConfig
from pathlib import Path
config = SecurityConfig(
audit_log=Path("/var/log/audit.log"),
enforce_resource_limits=True,
allow_network=False
)
validator = OperationValidator(config)
# Try to add privileged mode
with pytest.raises(SecurityError) as exc_info:
validator.validate_container_create(
image="mcp-forge/python:3.11",
params={
"privileged": True, # FORBIDDEN
"network_mode": "none",
"read_only": True,
"security_opt": ["no-new-privileges"],
"user": "1000:1000"
},
session_id="test-session-123"
)
assert "privileged" in str(exc_info.value).lower()
def test_forbidden_param_cap_add_raises_security_error():
"""Test that cap_add parameter is rejected."""
from mcp_forge.security.allowlist import OperationValidator, SecurityError
from mcp_forge.config.schema import SecurityConfig
from pathlib import Path
config = SecurityConfig(audit_log=Path("/audit.log"))
validator = OperationValidator(config)
with pytest.raises(SecurityError) as exc_info:
validator.validate_container_create(
image="mcp-forge/python:3.11",
params={
"cap_add": ["SYS_ADMIN"], # FORBIDDEN
"network_mode": "none",
"read_only": True
},
session_id="test-session"
)
assert "cap_add" in str(exc_info.value).lower()
def test_forbidden_param_devices_raises_security_error():
"""Test that devices parameter is rejected."""
from mcp_forge.security.allowlist import OperationValidator, SecurityError
from mcp_forge.config.schema import SecurityConfig
from pathlib import Path
config = SecurityConfig(audit_log=Path("/audit.log"))
validator = OperationValidator(config)
with pytest.raises(SecurityError) as exc_info:
validator.validate_container_create(
image="mcp-forge/python:3.11",
params={
"devices": ["/dev/sda"], # FORBIDDEN
"network_mode": "none",
"read_only": True
},
session_id="test-session"
)
assert "devices" in str(exc_info.value).lower()
def test_required_parameters_validation():
"""Test that required parameters are enforced."""
from mcp_forge.security.allowlist import OperationValidator, SecurityError
from mcp_forge.config.schema import SecurityConfig
from pathlib import Path
config = SecurityConfig(audit_log=Path("/audit.log"))
validator = OperationValidator(config)
# Missing network_mode
with pytest.raises(SecurityError) as exc_info:
validator.validate_container_create(
image="mcp-forge/python:3.11",
params={
"read_only": True,
"security_opt": ["no-new-privileges"],
"user": "1000:1000"
},
session_id="test-session"
)
assert "network_mode" in str(exc_info.value).lower()
# Missing read_only
with pytest.raises(SecurityError) as exc_info:
validator.validate_container_create(
image="mcp-forge/python:3.11",
params={
"network_mode": "none",
"security_opt": ["no-new-privileges"],
"user": "1000:1000"
},
session_id="test-session"
)
assert "read_only" in str(exc_info.value).lower()
def test_image_allowlist_enforcement():
"""Test that only allowed images can be used."""
from mcp_forge.security.allowlist import OperationValidator, SecurityError
from mcp_forge.config.schema import SecurityConfig
from pathlib import Path
config = SecurityConfig(audit_log=Path("/audit.log"))
validator = OperationValidator(config)
# Valid image
validator.validate_image_name("mcp-forge/python:3.11")
validator.validate_image_name("mcp-forge/python:3.12")
validator.validate_image_name("mcp-forge/jupyter:latest")
validator.validate_image_name("mcp-forge/custom:my-env")
# Invalid image
with pytest.raises(SecurityError) as exc_info:
validator.validate_image_name("ubuntu:latest")
assert "image" in str(exc_info.value).lower() or "allowlist" in str(exc_info.value).lower()
with pytest.raises(SecurityError):
validator.validate_image_name("malicious/image:latest")
def test_volume_mount_path_validation():
"""Test that volume mount paths are validated against allowlist."""
from mcp_forge.security.allowlist import OperationValidator, SecurityError
from mcp_forge.config.schema import SecurityConfig
from pathlib import Path
config = SecurityConfig(audit_log=Path("/audit.log"))
validator = OperationValidator(config)
# Valid session path
validator.validate_volume_mount(
"/mcp-forge/sessions/test-session-123/workdir",
"test-session-123"
)
# Valid shared readonly path
validator.validate_volume_mount(
"/mcp-forge/shared/readonly/data",
"test-session-123"
)
# Valid upload path
validator.validate_volume_mount(
"/mcp-forge/uploads/test-session-123/file.txt",
"test-session-123"
)
# Invalid: root path
with pytest.raises(SecurityError) as exc_info:
validator.validate_volume_mount("/", "test-session")
assert "forbidden" in str(exc_info.value).lower() or "root" in str(exc_info.value).lower()
# Invalid: /etc
with pytest.raises(SecurityError):
validator.validate_volume_mount("/etc/passwd", "test-session")
# Invalid: docker socket
with pytest.raises(SecurityError):
validator.validate_volume_mount("/var/run/docker.sock", "test-session")
# Invalid: podman socket
with pytest.raises(SecurityError):
validator.validate_volume_mount("/var/run/podman/podman.sock", "test-session")
def test_capability_restrictions():
"""Test that capability restrictions are enforced."""
from mcp_forge.security.allowlist import OperationValidator, SecurityError
from mcp_forge.config.schema import SecurityConfig
from pathlib import Path
config = SecurityConfig(audit_log=Path("/audit.log"))
validator = OperationValidator(config)
# cap_add is forbidden
with pytest.raises(SecurityError):
validator.validate_container_create(
image="mcp-forge/python:3.11",
params={
"cap_add": ["NET_ADMIN"],
"network_mode": "none",
"read_only": True
},
session_id="test-session"
)
def test_network_mode_enforcement():
"""Test that network mode is enforced as 'none'."""
from mcp_forge.security.allowlist import OperationValidator, SecurityError
from mcp_forge.config.schema import SecurityConfig
from pathlib import Path
config = SecurityConfig(audit_log=Path("/audit.log"))
validator = OperationValidator(config)
# Wrong network mode
with pytest.raises(SecurityError) as exc_info:
validator.validate_container_create(
image="mcp-forge/python:3.11",
params={
"network_mode": "bridge", # Must be "none"
"read_only": True,
"security_opt": ["no-new-privileges"],
"user": "1000:1000"
},
session_id="test-session"
)
assert "network_mode" in str(exc_info.value).lower()
def test_privileged_mode_always_rejected():
"""Test that privileged mode is always rejected regardless of other params."""
from mcp_forge.security.allowlist import OperationValidator, SecurityError
from mcp_forge.config.schema import SecurityConfig
from pathlib import Path
config = SecurityConfig(audit_log=Path("/audit.log"))
validator = OperationValidator(config)
with pytest.raises(SecurityError) as exc_info:
validator.validate_container_create(
image="mcp-forge/python:3.11",
params={
"privileged": True,
"network_mode": "none",
"read_only": True,
"security_opt": ["no-new-privileges"],
"user": "1000:1000"
},
session_id="test-session"
)
assert "privileged" in str(exc_info.value).lower()
def test_session_container_tracking():
"""Test that session containers are tracked and validated."""
from mcp_forge.security.allowlist import OperationValidator, SecurityError
from mcp_forge.config.schema import SecurityConfig
from pathlib import Path
config = SecurityConfig(audit_log=Path("/audit.log"))
validator = OperationValidator(config)
# Register a session container
validator.register_session_container("container-123")
# Should be able to operate on registered container
validator.validate_container_start("container-123")
validator.validate_container_stop("container-123")
validator.validate_container_remove("container-123")
# Cannot operate on non-session container
with pytest.raises(SecurityError) as exc_info:
validator.validate_container_start("unknown-container")
assert "session" in str(exc_info.value).lower() or "not found" in str(exc_info.value).lower()
with pytest.raises(SecurityError):
validator.validate_container_stop("unknown-container")
with pytest.raises(SecurityError):
validator.validate_container_remove("unknown-container")
def test_unregister_session_container():
"""Test that session containers can be unregistered."""
from mcp_forge.security.allowlist import OperationValidator
from mcp_forge.config.schema import SecurityConfig
from pathlib import Path
config = SecurityConfig(audit_log=Path("/audit.log"))
validator = OperationValidator(config)
validator.register_session_container("container-123")
validator.validate_container_start("container-123") # Should work
validator.unregister_session_container("container-123")
# After unregistration, should not work
with pytest.raises(Exception): # SecurityError
validator.validate_container_start("container-123")
def test_validate_container_create_stores_container_id():
"""Test that validate_container_create automatically registers container."""
from mcp_forge.security.allowlist import OperationValidator
from mcp_forge.config.schema import SecurityConfig
from pathlib import Path
config = SecurityConfig(audit_log=Path("/audit.log"))
validator = OperationValidator(config)
# Create container with session_id should auto-register
validator.validate_container_create(
image="mcp-forge/python:3.11",
params={
"network_mode": "none",
"read_only": True,
"security_opt": ["no-new-privileges"],
"user": "1000:1000"
},
session_id="test-session-123"
)
# The actual container_id would be returned by Podman after creation
# So this test just verifies validation passes
def test_security_error_includes_rule_violation():
"""Test that SecurityError messages indicate what rule was violated."""
from mcp_forge.security.allowlist import OperationValidator, SecurityError
from mcp_forge.config.schema import SecurityConfig
from pathlib import Path
config = SecurityConfig(audit_log=Path("/audit.log"))
validator = OperationValidator(config)
# Test various violations have clear messages
with pytest.raises(SecurityError) as exc_info:
validator.validate_container_create(
image="mcp-forge/python:3.11",
params={"privileged": True},
session_id="test"
)
error_msg = str(exc_info.value)
assert "privileged" in error_msg.lower()
with pytest.raises(SecurityError) as exc_info:
validator.validate_image_name("bad-image:latest")
error_msg = str(exc_info.value)
assert "image" in error_msg.lower() or "allowlist" in error_msg.lower()
def test_wildcard_image_pattern_matching():
"""Test that wildcard patterns work in image allowlist."""
from mcp_forge.security.allowlist import OperationValidator
from mcp_forge.config.schema import SecurityConfig
from pathlib import Path
config = SecurityConfig(audit_log=Path("/audit.log"))
validator = OperationValidator(config)
# mcp-forge/custom:* should match any tag
validator.validate_image_name("mcp-forge/custom:my-env-v1")
validator.validate_image_name("mcp-forge/custom:another-tag")
validator.validate_image_name("mcp-forge/custom:abc123")
def test_forbidden_mount_paths_comprehensive():
"""Test all forbidden mount paths are blocked."""
from mcp_forge.security.allowlist import OperationValidator, SecurityError
from mcp_forge.config.schema import SecurityConfig
from pathlib import Path
config = SecurityConfig(audit_log=Path("/audit.log"))
validator = OperationValidator(config)
forbidden_paths = [
"/",
"/etc",
"/etc/shadow",
"/var/run/docker.sock",
"/var/run/podman/podman.sock",
"/sys",
"/sys/kernel",
"/proc",
"/proc/self",
]
for path in forbidden_paths:
with pytest.raises(SecurityError):
validator.validate_volume_mount(path, "test-session")
def test_pid_mode_forbidden():
"""Test that pid_mode parameter is forbidden."""
from mcp_forge.security.allowlist import OperationValidator, SecurityError
from mcp_forge.config.schema import SecurityConfig
from pathlib import Path
config = SecurityConfig(audit_log=Path("/audit.log"))
validator = OperationValidator(config)
with pytest.raises(SecurityError):
validator.validate_container_create(
image="mcp-forge/python:3.11",
params={
"pid_mode": "host", # FORBIDDEN
"network_mode": "none"
},
session_id="test"
)
def test_ipc_mode_forbidden():
"""Test that ipc_mode parameter is forbidden."""
from mcp_forge.security.allowlist import OperationValidator, SecurityError
from mcp_forge.config.schema import SecurityConfig
from pathlib import Path
config = SecurityConfig(audit_log=Path("/audit.log"))
validator = OperationValidator(config)
with pytest.raises(SecurityError):
validator.validate_container_create(
image="mcp-forge/python:3.11",
params={
"ipc_mode": "host", # FORBIDDEN
"network_mode": "none"
},
session_id="test"
)
def test_session_path_must_match_session_id():
"""Test that session paths must match the provided session_id."""
from mcp_forge.security.allowlist import OperationValidator, SecurityError
from mcp_forge.config.schema import SecurityConfig
from pathlib import Path
config = SecurityConfig(audit_log=Path("/audit.log"))
validator = OperationValidator(config)
# Correct session match
validator.validate_volume_mount(
"/mcp-forge/sessions/session-123/workdir",
"session-123"
)
# Wrong session in path
with pytest.raises(SecurityError):
validator.validate_volume_mount(
"/mcp-forge/sessions/other-session/workdir",
"session-123"
)

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"""
Tests for audit logger module.
Following TDD approach - these tests are written before implementation.
Tests cover all logging requirements from todo.md section 1.2.3.
"""
import pytest
import json
from pathlib import Path
import tempfile
import threading
import time
from datetime import datetime
def test_log_entries_written_to_file(tmp_path):
"""Test that log entries are written to the log file."""
from mcp_forge.security.audit import AuditLogger, AuditEventType, AuditSeverity
log_file = tmp_path / "audit.log"
logger = AuditLogger(log_file)
logger.log(
event_type=AuditEventType.CONTAINER_CREATE,
severity=AuditSeverity.INFO,
message="Test container created",
details={"image": "test-image", "container_id": "abc123"}
)
assert log_file.exists()
content = log_file.read_text()
assert len(content) > 0
def test_log_entries_are_valid_json(tmp_path):
"""Test that log entries are valid JSON."""
from mcp_forge.security.audit import AuditLogger, AuditEventType, AuditSeverity
log_file = tmp_path / "audit.log"
logger = AuditLogger(log_file)
logger.log(
event_type=AuditEventType.CONTAINER_CREATE,
severity=AuditSeverity.INFO,
message="Test entry",
details={"key": "value"}
)
# Each line should be valid JSON
lines = log_file.read_text().strip().split("\n")
for line in lines:
data = json.loads(line) # Should not raise
assert isinstance(data, dict)
def test_log_entries_contain_required_fields(tmp_path):
"""Test that log entries contain all required fields."""
from mcp_forge.security.audit import AuditLogger, AuditEventType, AuditSeverity
log_file = tmp_path / "audit.log"
logger = AuditLogger(log_file)
logger.log(
event_type=AuditEventType.EXECUTION_REQUEST,
severity=AuditSeverity.INFO,
message="Code execution requested",
session_id="test-session-123"
)
lines = log_file.read_text().strip().split("\n")
entry = json.loads(lines[0])
# Required fields
assert "timestamp" in entry
assert "event_type" in entry
assert "severity" in entry
assert "message" in entry
assert "session_id" in entry
def test_timestamp_format_is_iso_8601(tmp_path):
"""Test that timestamp is in ISO 8601 format."""
from mcp_forge.security.audit import AuditLogger, AuditEventType, AuditSeverity
log_file = tmp_path / "audit.log"
logger = AuditLogger(log_file)
logger.log(
event_type=AuditEventType.SESSION_CREATE,
severity=AuditSeverity.INFO,
message="Session created"
)
lines = log_file.read_text().strip().split("\n")
entry = json.loads(lines[0])
# Should be parseable as ISO 8601
timestamp = entry["timestamp"]
dt = datetime.fromisoformat(timestamp)
assert isinstance(dt, datetime)
def test_concurrent_logging_is_thread_safe(tmp_path):
"""Test that concurrent logging from multiple threads is thread-safe."""
from mcp_forge.security.audit import AuditLogger, AuditEventType, AuditSeverity
log_file = tmp_path / "audit.log"
logger = AuditLogger(log_file)
def log_entries(thread_id, count):
for i in range(count):
logger.log(
event_type=AuditEventType.CONTAINER_CREATE,
severity=AuditSeverity.INFO,
message=f"Thread {thread_id} entry {i}"
)
# Create multiple threads
threads = []
entries_per_thread = 10
num_threads = 5
for i in range(num_threads):
t = threading.Thread(target=log_entries, args=(i, entries_per_thread))
threads.append(t)
t.start()
# Wait for all threads
for t in threads:
t.join()
# Verify all entries written
lines = log_file.read_text().strip().split("\n")
assert len(lines) == num_threads * entries_per_thread
# Verify all entries are valid JSON
for line in lines:
json.loads(line)
def test_security_violations_logged_with_correct_severity(tmp_path):
"""Test that security violations are logged at correct severity."""
from mcp_forge.security.audit import AuditLogger, AuditEventType, AuditSeverity
log_file = tmp_path / "audit.log"
logger = AuditLogger(log_file)
logger.log_security_violation(
operation="container_create",
reason="Privileged mode attempted",
session_id="test-session"
)
lines = log_file.read_text().strip().split("\n")
entry = json.loads(lines[0])
assert entry["severity"] == "critical"
assert entry["event_type"] == "security.violation"
def test_pii_is_not_logged(tmp_path):
"""Test that PII (code content, tokens, files) is not logged."""
from mcp_forge.security.audit import AuditLogger, AuditEventType, AuditSeverity
log_file = tmp_path / "audit.log"
logger = AuditLogger(log_file)
# Log execution request - should NOT include actual code
logger.log(
event_type=AuditEventType.EXECUTION_REQUEST,
severity=AuditSeverity.INFO,
message="Code execution requested",
details={
"code_hash": "abc123def456", # Hash is OK
# "code": "print('hello')" # Should NOT be logged
}
)
content = log_file.read_text()
# Should not contain actual code
assert "print" not in content
assert "hello" not in content
# Should contain hash
assert "abc123def456" in content
def test_log_container_operation(tmp_path):
"""Test log_container_operation convenience method."""
from mcp_forge.security.audit import AuditLogger, AuditEventType
log_file = tmp_path / "audit.log"
logger = AuditLogger(log_file)
logger.log_container_operation(
operation="create",
container_id="container-123",
image="mcp-forge/python:3.11",
session_id="session-456"
)
lines = log_file.read_text().strip().split("\n")
entry = json.loads(lines[0])
assert entry["event_type"] == "container.create"
assert entry["container_id"] == "container-123"
assert entry["image"] == "mcp-forge/python:3.11"
assert entry["session_id"] == "session-456"
def test_log_container_operation_with_error(tmp_path):
"""Test logging container operation with error."""
from mcp_forge.security.audit import AuditLogger
log_file = tmp_path / "audit.log"
logger = AuditLogger(log_file)
logger.log_container_operation(
operation="start",
container_id="container-123",
image="mcp-forge/python:3.11",
session_id="session-456",
error="Container not found"
)
lines = log_file.read_text().strip().split("\n")
entry = json.loads(lines[0])
assert "error" in entry
assert entry["error"] == "Container not found"
assert entry["severity"] == "error"
def test_log_creates_directory_if_not_exists(tmp_path):
"""Test that logger creates log directory if it doesn't exist."""
from mcp_forge.security.audit import AuditLogger, AuditEventType, AuditSeverity
log_dir = tmp_path / "nested" / "log" / "dir"
log_file = log_dir / "audit.log"
logger = AuditLogger(log_file)
logger.log(
event_type=AuditEventType.SESSION_CREATE,
severity=AuditSeverity.INFO,
message="Test"
)
assert log_file.exists()
assert log_file.parent.exists()
def test_audit_event_types():
"""Test that all required audit event types are defined."""
from mcp_forge.security.audit import AuditEventType
# Required event types from todo.md
assert hasattr(AuditEventType, "CONTAINER_CREATE")
assert hasattr(AuditEventType, "CONTAINER_START")
assert hasattr(AuditEventType, "CONTAINER_STOP")
assert hasattr(AuditEventType, "CONTAINER_REMOVE")
assert hasattr(AuditEventType, "EXECUTION_REQUEST")
assert hasattr(AuditEventType, "SECURITY_VIOLATION")
assert hasattr(AuditEventType, "BUILD_REQUEST")
assert hasattr(AuditEventType, "BUILD_COMPLETE")
assert hasattr(AuditEventType, "SESSION_CREATE")
assert hasattr(AuditEventType, "SESSION_DESTROY")
def test_audit_severity_levels():
"""Test that all required severity levels are defined."""
from mcp_forge.security.audit import AuditSeverity
assert hasattr(AuditSeverity, "INFO")
assert hasattr(AuditSeverity, "WARNING")
assert hasattr(AuditSeverity, "ERROR")
assert hasattr(AuditSeverity, "CRITICAL")
def test_log_with_all_optional_parameters(tmp_path):
"""Test logging with all optional parameters provided."""
from mcp_forge.security.audit import AuditLogger, AuditEventType, AuditSeverity
log_file = tmp_path / "audit.log"
logger = AuditLogger(log_file)
logger.log(
event_type=AuditEventType.BUILD_COMPLETE,
severity=AuditSeverity.INFO,
message="Build completed successfully",
session_id="session-123",
user_id="user-456",
details={"image": "custom-env", "duration": 120},
error=None
)
lines = log_file.read_text().strip().split("\n")
entry = json.loads(lines[0])
assert entry["session_id"] == "session-123"
assert entry["user_id"] == "user-456"
assert entry["details"]["image"] == "custom-env"
assert entry["details"]["duration"] == 120
def test_multiple_log_entries_on_separate_lines(tmp_path):
"""Test that multiple log entries are written on separate lines."""
from mcp_forge.security.audit import AuditLogger, AuditEventType, AuditSeverity
log_file = tmp_path / "audit.log"
logger = AuditLogger(log_file)
for i in range(5):
logger.log(
event_type=AuditEventType.CONTAINER_CREATE,
severity=AuditSeverity.INFO,
message=f"Entry {i}"
)
lines = log_file.read_text().strip().split("\n")
assert len(lines) == 5
# Each line should be parseable
for line in lines:
json.loads(line)
def test_log_security_violation_parameters(tmp_path):
"""Test log_security_violation includes all necessary information."""
from mcp_forge.security.audit import AuditLogger
log_file = tmp_path / "audit.log"
logger = AuditLogger(log_file)
logger.log_security_violation(
operation="volume_mount",
reason="Attempted to mount /etc",
session_id="session-789"
)
lines = log_file.read_text().strip().split("\n")
entry = json.loads(lines[0])
assert entry["event_type"] == "security.violation"
assert entry["severity"] == "critical"
assert entry["operation"] == "volume_mount"
assert entry["reason"] == "Attempted to mount /etc"
assert entry["session_id"] == "session-789"
def test_details_can_be_none(tmp_path):
"""Test that details parameter can be None."""
from mcp_forge.security.audit import AuditLogger, AuditEventType, AuditSeverity
log_file = tmp_path / "audit.log"
logger = AuditLogger(log_file)
logger.log(
event_type=AuditEventType.SESSION_CREATE,
severity=AuditSeverity.INFO,
message="Session created",
details=None
)
lines = log_file.read_text().strip().split("\n")
entry = json.loads(lines[0])
# Should work without error
assert "message" in entry

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"""
Tests for resource limits module.
Following TDD approach - these tests are written before implementation.
Tests cover all parsing and validation requirements from todo.md section 1.2.1.
"""
import pytest
def test_parse_memory_string_megabytes():
"""Test parsing memory string with megabytes suffix."""
from mcp_forge.security.resource_limits import parse_memory_string
result = parse_memory_string("512m")
assert result == 536870912 # 512 * 1024 * 1024
def test_parse_memory_string_gigabytes():
"""Test parsing memory string with gigabytes suffix."""
from mcp_forge.security.resource_limits import parse_memory_string
result = parse_memory_string("2g")
assert result == 2147483648 # 2 * 1024 * 1024 * 1024
def test_parse_memory_string_kilobytes():
"""Test parsing memory string with kilobytes suffix."""
from mcp_forge.security.resource_limits import parse_memory_string
result = parse_memory_string("1024k")
assert result == 1048576 # 1024 * 1024
def test_parse_memory_string_case_insensitive():
"""Test that memory string parsing is case-insensitive."""
from mcp_forge.security.resource_limits import parse_memory_string
assert parse_memory_string("512M") == 536870912
assert parse_memory_string("2G") == 2147483648
assert parse_memory_string("1024K") == 1048576
def test_parse_memory_string_invalid_format_raises_value_error():
"""Test that invalid format raises ValueError."""
from mcp_forge.security.resource_limits import parse_memory_string
with pytest.raises(ValueError) as exc_info:
parse_memory_string("invalid")
assert "invalid" in str(exc_info.value).lower() or "format" in str(exc_info.value).lower()
with pytest.raises(ValueError):
parse_memory_string("512x") # Invalid suffix
with pytest.raises(ValueError):
parse_memory_string("abc") # Not a number
def test_parse_memory_string_negative_value_raises_value_error():
"""Test that negative values raise ValueError."""
from mcp_forge.security.resource_limits import parse_memory_string
with pytest.raises(ValueError) as exc_info:
parse_memory_string("-512m")
assert "positive" in str(exc_info.value).lower() or "negative" in str(exc_info.value).lower()
def test_parse_memory_string_zero_value_raises_value_error():
"""Test that zero value raises ValueError."""
from mcp_forge.security.resource_limits import parse_memory_string
with pytest.raises(ValueError) as exc_info:
parse_memory_string("0m")
assert "positive" in str(exc_info.value).lower() or "zero" in str(exc_info.value).lower()
def test_parse_cpu_quota_valid_value():
"""Test that valid CPU quota values are accepted."""
from mcp_forge.security.resource_limits import parse_cpu_quota
result = parse_cpu_quota(50000)
assert result == 50000
result = parse_cpu_quota(100000) # 100% of one core
assert result == 100000
def test_parse_cpu_quota_max_limit():
"""Test that CPU quota has a reasonable maximum (10 cores)."""
from mcp_forge.security.resource_limits import parse_cpu_quota
# Should accept up to 1000000 (10 cores)
result = parse_cpu_quota(1000000)
assert result == 1000000
# Should reject more than 10 cores
with pytest.raises(ValueError) as exc_info:
parse_cpu_quota(1000001)
assert "1000000" in str(exc_info.value) or "maximum" in str(exc_info.value).lower()
def test_parse_cpu_quota_negative_raises_value_error():
"""Test that negative CPU quota raises ValueError."""
from mcp_forge.security.resource_limits import parse_cpu_quota
with pytest.raises(ValueError) as exc_info:
parse_cpu_quota(-1)
assert "positive" in str(exc_info.value).lower() or "negative" in str(exc_info.value).lower()
def test_parse_cpu_quota_zero_raises_value_error():
"""Test that zero CPU quota raises ValueError."""
from mcp_forge.security.resource_limits import parse_cpu_quota
with pytest.raises(ValueError) as exc_info:
parse_cpu_quota(0)
assert "positive" in str(exc_info.value).lower() or "zero" in str(exc_info.value).lower()
def test_parse_storage_string_same_as_memory():
"""Test that storage parsing works the same as memory parsing."""
from mcp_forge.security.resource_limits import parse_storage_string
assert parse_storage_string("1g") == 1073741824
assert parse_storage_string("512m") == 536870912
assert parse_storage_string("2048k") == 2097152
def test_resource_limits_class_initialization():
"""Test ResourceLimits class initializes correctly."""
from mcp_forge.security.resource_limits import ResourceLimits
limits = ResourceLimits(
memory="512m",
storage="1g",
cpu_quota=50000,
timeout=300
)
assert limits.memory_bytes == 536870912
assert limits.storage_bytes == 1073741824
assert limits.cpu_quota == 50000
assert limits.timeout == 300
def test_resource_limits_validates_memory():
"""Test that ResourceLimits validates memory string."""
from mcp_forge.security.resource_limits import ResourceLimits
with pytest.raises(ValueError):
ResourceLimits(
memory="invalid",
storage="1g",
cpu_quota=50000,
timeout=300
)
def test_resource_limits_validates_storage():
"""Test that ResourceLimits validates storage string."""
from mcp_forge.security.resource_limits import ResourceLimits
with pytest.raises(ValueError):
ResourceLimits(
memory="512m",
storage="invalid",
cpu_quota=50000,
timeout=300
)
def test_resource_limits_validates_cpu_quota():
"""Test that ResourceLimits validates CPU quota."""
from mcp_forge.security.resource_limits import ResourceLimits
with pytest.raises(ValueError):
ResourceLimits(
memory="512m",
storage="1g",
cpu_quota=-1,
timeout=300
)
def test_resource_limits_to_podman_params():
"""Test conversion to Podman container parameters."""
from mcp_forge.security.resource_limits import ResourceLimits
limits = ResourceLimits(
memory="512m",
storage="1g",
cpu_quota=50000,
timeout=300
)
params = limits.to_podman_params()
assert isinstance(params, dict)
assert "mem_limit" in params
assert params["mem_limit"] == "536870912" # Should be string for Podman
# CPU quota is set via cpu_quota parameter
assert "cpu_quota" in params
assert params["cpu_quota"] == 50000
def test_resource_limits_default_timeout():
"""Test that ResourceLimits has a default timeout."""
from mcp_forge.security.resource_limits import ResourceLimits
limits = ResourceLimits(
memory="512m",
storage="1g",
cpu_quota=50000
)
assert limits.timeout == 300 # Default from signature
def test_parse_memory_string_with_spaces():
"""Test parsing memory strings that have spaces."""
from mcp_forge.security.resource_limits import parse_memory_string
# Should handle spaces gracefully (strip them)
result = parse_memory_string(" 512m ")
assert result == 536870912
def test_parse_memory_string_bytes_suffix():
"""Test parsing memory string with bytes suffix (no multiplier)."""
from mcp_forge.security.resource_limits import parse_memory_string
# Just a number (bytes) - should this be supported?
# Based on architecture, we support k, m, g suffixes
# Plain numbers should probably raise an error for safety
with pytest.raises(ValueError):
parse_memory_string("1024")
def test_resource_limits_storage_quota_in_podman_params():
"""Test that storage limits are included in Podman params."""
from mcp_forge.security.resource_limits import ResourceLimits
limits = ResourceLimits(
memory="512m",
storage="1g",
cpu_quota=50000,
timeout=300
)
params = limits.to_podman_params()
# Storage limit might be set via storage_opt or similar
# The exact parameter depends on Podman API
assert "storage_bytes" in params or "storage_opt" in params
def test_cpu_quota_explanation():
"""Test that CPU quota values have clear meaning."""
from mcp_forge.security.resource_limits import parse_cpu_quota
# 100000 = 100% of one CPU core
# 50000 = 50% of one CPU core
# 200000 = 200% = 2 CPU cores
assert parse_cpu_quota(50000) == 50000 # 0.5 cores
assert parse_cpu_quota(100000) == 100000 # 1 core
assert parse_cpu_quota(200000) == 200000 # 2 cores
def test_parse_memory_with_decimal():
"""Test parsing memory strings with decimal values."""
from mcp_forge.security.resource_limits import parse_memory_string
# Should handle decimals
result = parse_memory_string("1.5g")
assert result == 1610612736 # 1.5 * 1024 * 1024 * 1024

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"""Tests for MCP resource handlers."""
import pytest
import json
from unittest.mock import Mock, AsyncMock, patch
from mcp_forge.server.resources import ResourceHandler
@pytest.fixture
def mock_client_manager():
"""Mock MCP client manager."""
manager = Mock()
manager.list_all_tools = AsyncMock(return_value=["read_file", "write_file", "calculate"])
return manager
@pytest.fixture
def mock_session_manager():
"""Mock session manager."""
manager = Mock()
# Mock session state
mock_state = Mock()
mock_state.session_id = "test-session"
mock_state.documented_variables = {"x": "Test variable", "result": "Calculation result"}
mock_state.note = "Test session state"
mock_state.all_variables = ["x", "y", "result", "np", "pd"]
mock_state.introspection = {
"x": {"type": "int", "size": 28},
"result": {"type": "float", "size": 24}
}
mock_state.to_dict = Mock(return_value={
"session_id": "test-session",
"documented_variables": {"x": "Test variable", "result": "Calculation result"},
"note": "Test session state",
"all_variables": ["x", "y", "result", "np", "pd"],
"introspection": {
"x": {"type": "int", "size": 28},
"result": {"type": "float", "size": 24}
},
"last_updated": "2026-02-06T12:00:00Z"
})
manager.get_session_state = Mock(return_value=mock_state)
manager.list_sessions = Mock(return_value=[
{"session_id": "test-session", "created_at": "2026-02-06T12:00:00Z"}
])
return manager
@pytest.fixture
def mock_environment_builder():
"""Mock environment builder."""
builder = Mock()
builder.list_templates = Mock(return_value={
"datascience": {
"description": "Data science environment with numpy, pandas, matplotlib",
"packages": ["numpy>=1.24", "pandas>=2.0", "matplotlib>=3.7"]
},
"ml": {
"description": "Machine learning environment",
"packages": ["scikit-learn>=1.3", "tensorflow>=2.13"]
}
})
return builder
@pytest.fixture
def mock_config():
"""Mock forge configuration."""
config = Mock()
config.execution = Mock()
config.execution.default_backend = "simple"
config.execution.default_timeout = 300
config.sessions = Mock()
config.sessions.max_concurrent = 10
# Add environment-related config for environment/info resource
config.max_packages = 50
config.max_build_time = 300
config.base_images = {"python:3.11": {}, "python:3.12": {}}
return config
@pytest.fixture
def resource_handler(mock_client_manager, mock_session_manager, mock_environment_builder, mock_config):
"""Create ResourceHandler instance with mocked dependencies."""
return ResourceHandler(
client_manager=mock_client_manager,
session_manager=mock_session_manager,
environment_builder=mock_environment_builder,
config=mock_config
)
@pytest.mark.asyncio
async def test_handle_tools_available(resource_handler, mock_client_manager):
"""Test handling tools/available resource returns list of available tools."""
result = await resource_handler.handle_resource("mcp://forge/tools/available")
assert str(result.uri) == "mcp://forge/tools/available"
assert result.mimeType == "application/json"
# Parse JSON content
tools = json.loads(result.text)
assert tools == {"tools": ["read_file", "write_file", "calculate"]}
# Verify client manager was called
mock_client_manager.list_all_tools.assert_awaited_once()
@pytest.mark.asyncio
async def test_handle_session_state(resource_handler, mock_session_manager):
"""Test handling session state resource returns documented state."""
session_id = "test-session"
result = await resource_handler.handle_resource(f"mcp://forge/sessions/{session_id}/state")
assert str(result.uri) == f"mcp://forge/sessions/{session_id}/state"
assert result.mimeType == "application/json"
# Parse JSON content
state = json.loads(result.text)
assert state["session_id"] == session_id
assert state["documented_variables"] == {"x": "Test variable", "result": "Calculation result"}
assert state["note"] == "Test session state"
assert "last_updated" in state
# Verify session manager was called
mock_session_manager.get_session_state.assert_called_once_with(session_id)
@pytest.mark.asyncio
async def test_handle_session_variables(resource_handler, mock_session_manager):
"""Test handling session variables resource returns list of variables."""
session_id = "test-session"
result = await resource_handler.handle_resource(f"mcp://forge/sessions/{session_id}/variables")
assert str(result.uri) == f"mcp://forge/sessions/{session_id}/variables"
assert result.mimeType == "application/json"
# Parse JSON content
data = json.loads(result.text)
assert data["variables"] == ["x", "y", "result", "np", "pd"]
# Verify session manager was called
mock_session_manager.get_session_state.assert_called_once_with(session_id)
@pytest.mark.asyncio
async def test_handle_environments_list(resource_handler, mock_environment_builder):
"""Test handling environments/list resource returns templates and built environments."""
result = await resource_handler.handle_resource("mcp://forge/environments/list")
assert str(result.uri) == "mcp://forge/environments/list"
assert result.mimeType == "application/json"
# Parse JSON content
environments = json.loads(result.text)
assert "templates" in environments
assert "datascience" in environments["templates"]
assert "ml" in environments["templates"]
assert environments["templates"]["datascience"]["description"] == "Data science environment with numpy, pandas, matplotlib"
# Verify environment builder was called
mock_environment_builder.list_templates.assert_called_once()
@pytest.mark.asyncio
async def test_handle_environment_info(resource_handler, mock_config):
"""Test handling environment info resource returns configuration info."""
result = await resource_handler.handle_resource("mcp://forge/environment/info")
assert str(result.uri) == "mcp://forge/environment/info"
assert result.mimeType == "application/json"
# Parse JSON content
info = json.loads(result.text)
assert "base_images" in info
assert "python:3.11" in info["base_images"]
assert "python:3.12" in info["base_images"]
assert info["max_packages"] == 50
assert info["max_build_time"] == 300
@pytest.mark.asyncio
async def test_handle_sessions_list(resource_handler, mock_session_manager):
"""Test handling sessions/list resource returns list of active sessions."""
result = await resource_handler.handle_resource("mcp://forge/sessions/list")
assert str(result.uri) == "mcp://forge/sessions/list"
assert result.mimeType == "application/json"
# Parse JSON content
data = json.loads(result.text)
assert len(data["sessions"]) == 1
assert data["sessions"][0]["session_id"] == "test-session"
# Verify session manager was called
mock_session_manager.list_sessions.assert_called_once()
@pytest.mark.asyncio
async def test_handle_unknown_resource(resource_handler):
"""Test handling unknown resource raises ValueError."""
with pytest.raises(ValueError, match="Unknown resource URI"):
await resource_handler.handle_resource("mcp://forge/unknown/resource")
@pytest.mark.asyncio
async def test_handle_session_not_found(resource_handler, mock_session_manager):
"""Test handling session resource when session doesn't exist raises KeyError."""
mock_session_manager.get_session_state.side_effect = KeyError("Session not found")
with pytest.raises(KeyError, match="Session not found"):
await resource_handler.handle_resource("mcp://forge/sessions/nonexistent/state")
@pytest.mark.asyncio
async def test_parse_uri_tools_available(resource_handler):
"""Test URI parsing for tools/available resource."""
resource_type, params = resource_handler._parse_uri("mcp://forge/tools/available")
assert resource_type == "tools_available"
assert params == {}
@pytest.mark.asyncio
async def test_parse_uri_session_state(resource_handler):
"""Test URI parsing for session state resource."""
resource_type, params = resource_handler._parse_uri("mcp://forge/sessions/test-123/state")
assert resource_type == "session_state"
assert params == {"session_id": "test-123"}
@pytest.mark.asyncio
async def test_parse_uri_session_variables(resource_handler):
"""Test URI parsing for session variables resource."""
resource_type, params = resource_handler._parse_uri("mcp://forge/sessions/test-123/variables")
assert resource_type == "session_variables"
assert params == {"session_id": "test-123"}
@pytest.mark.asyncio
async def test_parse_uri_invalid_format(resource_handler):
"""Test URI parsing with invalid format raises ValueError."""
with pytest.raises(ValueError, match="Invalid URI format"):
resource_handler._parse_uri("invalid://uri")
@pytest.mark.asyncio
async def test_json_serialization_valid(resource_handler):
"""Test that all returned JSON content is valid and can be parsed."""
# Test all resource types return valid JSON
resources = [
"mcp://forge/tools/available",
"mcp://forge/sessions/test-session/state",
"mcp://forge/sessions/test-session/variables",
"mcp://forge/environments/list",
"mcp://forge/environment/info",
"mcp://forge/sessions/list"
]
for uri in resources:
result = await resource_handler.handle_resource(uri)
# Should not raise exception
parsed = json.loads(result.text)
assert parsed is not None

203
tests/server/test_server.py Normal file
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"""Tests for MCP Forge Server."""
import pytest
from unittest.mock import Mock, AsyncMock, patch
from pathlib import Path
from mcp_forge.server.server import ForgeServer
from mcp_forge.config.schema import ForgeConfig
@pytest.fixture
def mock_config(tmp_path):
"""Mock forge configuration."""
config = Mock(spec=ForgeConfig)
# Server config
config.server = Mock()
config.server.host = "localhost"
config.server.port = 3000
config.server.podman_socket = Path("/run/user/1000/podman/podman.sock")
# Security config
config.security = Mock()
config.security.audit_log = tmp_path / "audit.log"
config.security.max_memory = "2g"
config.security.max_timeout = 1800
# Execution config
config.execution = Mock()
config.execution.default_backend = "simple"
config.execution.default_timeout = 300
config.execution.max_timeout = 1800
config.execution.default_memory = "512m"
config.execution.max_memory = "2g"
# Sessions config
config.sessions = Mock()
config.sessions.max_concurrent = 10
config.sessions.idle_timeout = 3600
# Environment builder config
config.environment_builder = Mock()
config.environment_builder.uv_cache_path = tmp_path / "cache"
config.environment_builder.max_build_time = 600
config.environment_builder.package_validation = Mock()
return config
@pytest.mark.asyncio
async def test_server_initialization(mock_config):
"""Test that server initializes all components."""
with patch('mcp_forge.server.server.AuditLogger'), \
patch('mcp_forge.server.server.OperationValidator'), \
patch('mcp_forge.server.server.PodmanClient'), \
patch('mcp_forge.server.server.SecureContainerManager'), \
patch('mcp_forge.server.server.MCPClientManager'), \
patch('mcp_forge.server.server.ToolBridgeServer'), \
patch('mcp_forge.server.server.ToolInjectionGenerator'), \
patch('mcp_forge.server.server.SimpleBackend'), \
patch('mcp_forge.server.server.JupyterKernelManager'), \
patch('mcp_forge.server.server.JupyterBackend'), \
patch('mcp_forge.server.server.SessionManager'), \
patch('mcp_forge.server.server.EnvironmentBuilder'):
server = ForgeServer(config=mock_config)
# Verify server was created
assert server is not None
assert server.config == mock_config
# Verify components were initialized
assert hasattr(server, 'audit_logger')
assert hasattr(server, 'operation_validator')
assert hasattr(server, 'podman_client')
assert hasattr(server, 'container_manager')
assert hasattr(server, 'client_manager')
assert hasattr(server, 'bridge_server')
assert hasattr(server, 'simple_backend')
assert hasattr(server, 'jupyter_backend')
assert hasattr(server, 'environment_builder')
@pytest.mark.asyncio
async def test_tools_registration(mock_config):
"""Test that tools are registered with the server."""
with patch('mcp_forge.server.server.AuditLogger'), \
patch('mcp_forge.server.server.OperationValidator'), \
patch('mcp_forge.server.server.PodmanClient'), \
patch('mcp_forge.server.server.SecureContainerManager'), \
patch('mcp_forge.server.server.MCPClientManager'), \
patch('mcp_forge.server.server.ToolBridgeServer'), \
patch('mcp_forge.server.server.ToolInjectionGenerator'), \
patch('mcp_forge.server.server.SimpleBackend'), \
patch('mcp_forge.server.server.JupyterKernelManager'), \
patch('mcp_forge.server.server.JupyterBackend'), \
patch('mcp_forge.server.server.SessionManager'), \
patch('mcp_forge.server.server.EnvironmentBuilder'):
server = ForgeServer(config=mock_config)
# Verify tool instances were created
assert hasattr(server, 'execute_python_tool')
assert hasattr(server, 'document_state_tool')
assert hasattr(server, 'build_environment_tool')
@pytest.mark.asyncio
async def test_resources_registration(mock_config):
"""Test that resources are registered with the server."""
with patch('mcp_forge.server.server.AuditLogger'), \
patch('mcp_forge.server.server.OperationValidator'), \
patch('mcp_forge.server.server.PodmanClient'), \
patch('mcp_forge.server.server.SecureContainerManager'), \
patch('mcp_forge.server.server.MCPClientManager'), \
patch('mcp_forge.server.server.ToolBridgeServer'), \
patch('mcp_forge.server.server.ToolInjectionGenerator'), \
patch('mcp_forge.server.server.SimpleBackend'), \
patch('mcp_forge.server.server.JupyterKernelManager'), \
patch('mcp_forge.server.server.JupyterBackend'), \
patch('mcp_forge.server.server.SessionManager'), \
patch('mcp_forge.server.server.EnvironmentBuilder'):
server = ForgeServer(config=mock_config)
# Verify resource handler was created
assert hasattr(server, 'resource_handler')
@pytest.mark.asyncio
async def test_server_shutdown(mock_config):
"""Test that server shuts down gracefully."""
with patch('mcp_forge.server.server.AuditLogger') as mock_audit, \
patch('mcp_forge.server.server.OperationValidator'), \
patch('mcp_forge.server.server.PodmanClient'), \
patch('mcp_forge.server.server.SecureContainerManager'), \
patch('mcp_forge.server.server.MCPClientManager') as mock_client_mgr, \
patch('mcp_forge.server.server.ToolBridgeServer') as mock_bridge, \
patch('mcp_forge.server.server.ToolInjectionGenerator'), \
patch('mcp_forge.server.server.SimpleBackend'), \
patch('mcp_forge.server.server.JupyterKernelManager'), \
patch('mcp_forge.server.server.JupyterBackend'), \
patch('mcp_forge.server.server.SessionManager'), \
patch('mcp_forge.server.server.EnvironmentBuilder'):
# Setup mocks
mock_client_mgr.return_value.shutdown = AsyncMock()
mock_bridge_instance = Mock()
mock_bridge_instance.stop = Mock() # Not async
mock_bridge.return_value = mock_bridge_instance
mock_audit_instance = Mock()
mock_audit.return_value = mock_audit_instance
server = ForgeServer(config=mock_config)
# Shutdown server
await server.shutdown()
# Verify cleanup was called
server.client_manager.shutdown.assert_called_once()
server.bridge_server.stop.assert_called_once()
server.audit_logger.log.assert_called()
@pytest.mark.asyncio
async def test_server_component_initialization_order(mock_config):
"""Test that components are initialized in correct order."""
init_order = []
def track_init(name):
def decorator(cls):
original_init = cls.__init__
def new_init(self, *args, **kwargs):
init_order.append(name)
return original_init(self, *args, **kwargs)
cls.__init__ = new_init
return cls
return decorator
with patch('mcp_forge.server.server.AuditLogger') as mock_audit, \
patch('mcp_forge.server.server.OperationValidator') as mock_validator, \
patch('mcp_forge.server.server.PodmanClient') as mock_podman, \
patch('mcp_forge.server.server.SecureContainerManager') as mock_container, \
patch('mcp_forge.server.server.MCPClientManager'), \
patch('mcp_forge.server.server.ToolBridgeServer'), \
patch('mcp_forge.server.server.ToolInjectionGenerator'), \
patch('mcp_forge.server.server.SimpleBackend'), \
patch('mcp_forge.server.server.JupyterKernelManager'), \
patch('mcp_forge.server.server.JupyterBackend'), \
patch('mcp_forge.server.server.SessionManager'), \
patch('mcp_forge.server.server.EnvironmentBuilder'):
mock_audit.side_effect = lambda *args, **kwargs: init_order.append('audit_logger') or Mock()
mock_validator.side_effect = lambda *args, **kwargs: init_order.append('operation_validator') or Mock()
mock_podman.side_effect = lambda *args, **kwargs: init_order.append('podman_client') or Mock()
mock_container.side_effect = lambda *args, **kwargs: init_order.append('container_manager') or Mock()
server = ForgeServer(config=mock_config)
# Verify security components are initialized first
assert init_order.index('audit_logger') < init_order.index('podman_client')
assert init_order.index('operation_validator') < init_order.index('podman_client')
assert init_order.index('podman_client') < init_order.index('container_manager')

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"""Integration tests for MCP Forge Server - tests real component initialization."""
import pytest
from pathlib import Path
from unittest.mock import patch
from mcp_forge.server.server import ForgeServer
from mcp_forge.config.schema import (
ForgeConfig, ServerConfig, SecurityConfig, ExecutionConfig, SessionConfig,
ImageConfig, VolumeConfig, EnvironmentBuilderConfig, PackageValidationConfig
)
@pytest.fixture
def real_config(tmp_path):
"""Real configuration with all required fields."""
# Create required files
(tmp_path / "allowlist.txt").write_text("requests\npandas\nnumpy\n")
(tmp_path / "blocklist.txt").write_text("")
config = ForgeConfig(
server=ServerConfig(
host="localhost",
port=3000,
podman_socket=Path("/run/user/1000/podman/podman.sock")
),
security=SecurityConfig(
audit_log=tmp_path / "audit.log",
enforce_resource_limits=True,
allow_network=False
),
execution=ExecutionConfig(
default_backend="simple",
default_timeout=300,
max_timeout=1800,
default_memory="512m",
max_memory="2g"
),
images=ImageConfig(
allowed_python_versions=["3.11", "3.12"],
default_base_image="python:3.11"
),
sessions=SessionConfig(
max_concurrent=10,
idle_timeout=3600
),
volumes=VolumeConfig(
base_path=tmp_path / "volumes"
),
environment_builder=EnvironmentBuilderConfig(
uv_cache_path=tmp_path / "cache",
build_rate_limit={"requests": 5, "period": 60},
package_validation=PackageValidationConfig(
allowlist_path=tmp_path / "allowlist.txt",
blocklist_path=tmp_path / "blocklist.txt"
)
),
mcp_tools={}
)
return config
@pytest.mark.asyncio
async def test_server_can_initialize_with_minimal_mocking(real_config):
"""Test that ForgeServer can initialize with real component instances."""
# Only mock the podman library since we don't have a real Podman socket
with patch('mcp_forge.podman.client.BasePodmanClient'):
# This should succeed if all parameter mismatches are fixed
server = ForgeServer(config=real_config)
# Verify all components were created
assert server.audit_logger is not None
assert server.operation_validator is not None
assert server.podman_client is not None
assert server.container_manager is not None
assert server.client_manager is not None
assert server.bridge_server is not None
assert server.simple_backend is not None
assert server.kernel_manager is not None
assert server.session_manager is not None
assert server.jupyter_backend is not None
assert server.environment_builder is not None
# Sub-components created by EnvironmentBuilder
assert server.package_validator is not None
assert server.uv_installer is not None
assert server.image_builder is not None

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"""Tests for Build Custom Environment Tool."""
import pytest
from unittest.mock import Mock, AsyncMock
from mcp.types import Tool, TextContent
import json
from mcp_forge.server.tools.build_environment import BuildEnvironmentTool
from mcp_forge.builder.environment_builder import BuildResult
@pytest.fixture
def mock_environment_builder():
"""Mock environment builder."""
builder = Mock()
builder.build_environment = AsyncMock(return_value=BuildResult(
success=True,
image_name="mcp-forge/custom:test-env",
image_id="sha256:abc123",
build_time=45.2,
size_bytes=524288000, # 500MB
installed_packages=["numpy==1.24.0", "pandas==2.0.0"],
cache_hit=False
))
return builder
@pytest.fixture
def mock_audit_logger():
"""Mock audit logger."""
logger = Mock()
logger.log_environment_build = Mock()
return logger
@pytest.fixture
def build_environment_tool(mock_environment_builder, mock_audit_logger):
"""Create BuildEnvironmentTool instance with mocked dependencies."""
return BuildEnvironmentTool(
environment_builder=mock_environment_builder,
audit_logger=mock_audit_logger
)
@pytest.mark.asyncio
async def test_get_tool_definition(build_environment_tool):
"""Test that tool definition matches MCP spec."""
definition = build_environment_tool.get_tool_definition()
assert isinstance(definition, Tool)
assert definition.name == "build_custom_environment"
assert definition.description is not None
assert "build" in definition.description.lower()
# Verify required schema properties
schema = definition.inputSchema
assert schema["type"] == "object"
assert "name" in schema["properties"]
assert "packages" in schema["properties"]
assert "base_image" in schema["properties"]
assert "python_version" in schema["properties"]
assert "description" in schema["properties"]
assert "name" in schema["required"]
assert "packages" in schema["required"]
@pytest.mark.asyncio
async def test_build_with_valid_packages(
build_environment_tool,
mock_environment_builder,
mock_audit_logger
):
"""Test building environment with valid packages."""
arguments = {
"name": "test-ml-env",
"packages": ["numpy>=1.24.0", "pandas>=2.0.0"]
}
result = await build_environment_tool.execute(arguments)
assert isinstance(result, list)
assert len(result) == 1
assert isinstance(result[0], TextContent)
# Parse JSON response
response = json.loads(result[0].text)
assert response["success"] is True
assert response["image_name"] == "mcp-forge/custom:test-env"
assert response["build_time"] == 45.2
assert len(response["installed_packages"]) == 2
# Verify builder was called
mock_environment_builder.build_environment.assert_called_once()
# Verify audit log was called
mock_audit_logger.log_environment_build.assert_called_once()
@pytest.mark.asyncio
async def test_build_with_base_image(
build_environment_tool,
mock_environment_builder
):
"""Test building with custom base image."""
arguments = {
"name": "test-env",
"packages": ["requests"],
"base_image": "python:3.12"
}
result = await build_environment_tool.execute(arguments)
# Parse JSON response
response = json.loads(result[0].text)
assert response["success"] is True
# Verify base_image was passed to builder
call_args = mock_environment_builder.build_environment.call_args
assert call_args.kwargs["base_image"] == "python:3.12"
@pytest.mark.asyncio
async def test_build_with_python_version(
build_environment_tool,
mock_environment_builder
):
"""Test building with specific Python version."""
arguments = {
"name": "test-env",
"packages": ["numpy"],
"python_version": "3.12"
}
result = await build_environment_tool.execute(arguments)
# Parse JSON response
response = json.loads(result[0].text)
assert response["success"] is True
# Verify python_version was passed to builder
call_args = mock_environment_builder.build_environment.call_args
assert call_args.kwargs["python_version"] == "3.12"
@pytest.mark.asyncio
async def test_build_with_description(
build_environment_tool,
mock_environment_builder
):
"""Test building with description."""
arguments = {
"name": "test-env",
"packages": ["pandas"],
"description": "Environment for data analysis"
}
result = await build_environment_tool.execute(arguments)
# Parse JSON response
response = json.loads(result[0].text)
assert response["success"] is True
@pytest.mark.asyncio
async def test_validate_arguments_missing_name(build_environment_tool):
"""Test that validation fails when name is missing."""
arguments = {
"packages": ["numpy"]
}
with pytest.raises((ValueError, KeyError)):
await build_environment_tool.execute(arguments)
@pytest.mark.asyncio
async def test_validate_arguments_missing_packages(build_environment_tool):
"""Test that validation fails when packages is missing."""
arguments = {
"name": "test-env"
}
with pytest.raises((ValueError, KeyError)):
await build_environment_tool.execute(arguments)
@pytest.mark.asyncio
async def test_validate_arguments_invalid_name(build_environment_tool):
"""Test that validation fails for invalid environment name."""
arguments = {
"name": "invalid name with spaces",
"packages": ["numpy"]
}
with pytest.raises(ValueError, match="name"):
await build_environment_tool.execute(arguments)
@pytest.mark.asyncio
async def test_validate_arguments_invalid_packages_type(build_environment_tool):
"""Test that validation fails when packages is not a list."""
arguments = {
"name": "test-env",
"packages": "not-a-list"
}
with pytest.raises(ValueError, match="packages"):
await build_environment_tool.execute(arguments)
@pytest.mark.asyncio
async def test_validate_arguments_empty_packages(build_environment_tool):
"""Test that validation fails when packages list is empty."""
arguments = {
"name": "test-env",
"packages": []
}
with pytest.raises(ValueError, match="packages"):
await build_environment_tool.execute(arguments)
@pytest.mark.asyncio
async def test_build_error_handling(
build_environment_tool,
mock_environment_builder
):
"""Test that build errors are handled gracefully."""
mock_environment_builder.build_environment = AsyncMock(return_value=BuildResult(
success=False,
image_name="",
image_id="",
build_time=5.0,
size_bytes=0,
installed_packages=[],
cache_hit=False,
error="Package 'invalid-pkg' not found"
))
arguments = {
"name": "test-env",
"packages": ["invalid-pkg"]
}
result = await build_environment_tool.execute(arguments)
# Parse JSON response
response = json.loads(result[0].text)
assert response["success"] is False
assert "error" in response
assert "invalid-pkg" in response["error"]

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@ -0,0 +1,188 @@
"""Tests for Document State Tool."""
import pytest
from unittest.mock import Mock, AsyncMock
from mcp.types import Tool, TextContent
import json
from mcp_forge.server.tools.document_state import DocumentStateTool
@pytest.fixture
def mock_session_manager():
"""Mock session manager."""
manager = Mock()
# Mock get_session_state to return a session with state
mock_session = Mock()
mock_session.state = Mock()
mock_session.state.to_dict = Mock(return_value={
"variables": {"x": 1, "y": 2},
"documented_variables": {},
"note": None
})
manager.get_session_state = Mock(return_value=mock_session)
manager.document_variables = AsyncMock(return_value={"success": True, "documented_count": 2})
manager.session_exists = Mock(return_value=True)
return manager
@pytest.fixture
def document_state_tool(mock_session_manager):
"""Create DocumentStateTool instance with mocked dependencies."""
return DocumentStateTool(session_manager=mock_session_manager)
@pytest.mark.asyncio
async def test_get_tool_definition(document_state_tool):
"""Test that tool definition matches MCP spec."""
definition = document_state_tool.get_tool_definition()
assert isinstance(definition, Tool)
assert definition.name == "document_state"
assert definition.description is not None
assert "document" in definition.description.lower()
# Verify required schema properties
schema = definition.inputSchema
assert schema["type"] == "object"
assert "session_id" in schema["properties"]
assert "variables" in schema["properties"]
assert "note" in schema["properties"]
assert "clear" in schema["properties"]
assert "session_id" in schema["required"]
assert "variables" in schema["required"]
@pytest.mark.asyncio
async def test_document_variables(
document_state_tool,
mock_session_manager
):
"""Test documenting variables in a session."""
arguments = {
"session_id": "test-session",
"variables": {
"df": "Customer data with 1000 rows",
"model": "Trained RandomForest classifier"
}
}
result = await document_state_tool.execute(arguments)
assert isinstance(result, list)
assert len(result) == 1
assert isinstance(result[0], TextContent)
# Parse JSON response
response = json.loads(result[0].text)
assert response["success"] is True
assert response["documented_count"] == 2
assert response["session_id"] == "test-session"
# Verify session manager was called
mock_session_manager.document_variables.assert_called_once()
@pytest.mark.asyncio
async def test_document_with_note(
document_state_tool,
mock_session_manager
):
"""Test documenting with a note."""
arguments = {
"session_id": "test-session",
"variables": {
"result": "Final analysis output"
},
"note": "Analysis complete, ready for reporting"
}
result = await document_state_tool.execute(arguments)
# Parse JSON response
response = json.loads(result[0].text)
assert response["success"] is True
# Verify note was passed
call_args = mock_session_manager.document_variables.call_args
assert call_args is not None
assert call_args.kwargs["note"] == "Analysis complete, ready for reporting"
@pytest.mark.asyncio
async def test_clear_existing_documentation(
document_state_tool,
mock_session_manager
):
"""Test clearing existing documentation."""
arguments = {
"session_id": "test-session",
"variables": {
"new_var": "New variable"
},
"clear": True
}
result = await document_state_tool.execute(arguments)
# Parse JSON response
response = json.loads(result[0].text)
assert response["success"] is True
# Verify clear flag was passed
call_args = mock_session_manager.document_variables.call_args
assert call_args is not None
assert call_args.kwargs["clear"] is True
@pytest.mark.asyncio
async def test_session_validation(
document_state_tool,
mock_session_manager
):
"""Test that validation fails for non-existent session."""
mock_session_manager.session_exists = Mock(return_value=False)
arguments = {
"session_id": "nonexistent",
"variables": {
"x": "test"
}
}
with pytest.raises(ValueError, match="Session"):
await document_state_tool.execute(arguments)
@pytest.mark.asyncio
async def test_validate_arguments_missing_session_id(document_state_tool):
"""Test that validation fails when session_id is missing."""
arguments = {
"variables": {"x": "test"}
}
with pytest.raises((ValueError, KeyError)):
await document_state_tool.execute(arguments)
@pytest.mark.asyncio
async def test_validate_arguments_missing_variables(document_state_tool):
"""Test that validation fails when variables is missing."""
arguments = {
"session_id": "test-session"
}
with pytest.raises((ValueError, KeyError)):
await document_state_tool.execute(arguments)
@pytest.mark.asyncio
async def test_validate_arguments_invalid_variables_type(document_state_tool):
"""Test that validation fails when variables is not a dict."""
arguments = {
"session_id": "test-session",
"variables": ["not", "a", "dict"]
}
with pytest.raises(ValueError, match="variables"):
await document_state_tool.execute(arguments)

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@ -0,0 +1,389 @@
"""Tests for Execute Python Tool."""
import pytest
from unittest.mock import Mock, AsyncMock, patch
from mcp.types import Tool, TextContent
import json
from mcp_forge.server.tools.execute_python import ExecutePythonTool
from mcp_forge.execution.simple.backend import ExecutionResult
@pytest.fixture
def mock_simple_backend():
"""Mock simple backend."""
backend = Mock()
backend.execute = AsyncMock(return_value=ExecutionResult(
success=True,
stdout="Hello World",
stderr="",
result="42",
execution_time=0.5,
exit_code=0
))
return backend
@pytest.fixture
def mock_jupyter_backend():
"""Mock jupyter backend."""
backend = Mock()
backend.execute = AsyncMock(return_value=ExecutionResult(
success=True,
stdout="Stateful execution",
stderr="",
result="session-123",
execution_time=1.2,
exit_code=0
))
backend.execute_in_session = AsyncMock(return_value=ExecutionResult(
success=True,
stdout="Using existing session",
stderr="",
result="[1, 2, 3]",
execution_time=0.3,
exit_code=0
))
return backend
@pytest.fixture
def mock_client_manager():
"""Mock MCP client manager."""
manager = Mock()
manager.list_all_tools = AsyncMock(return_value=[
{"name": "github_search_repos", "description": "Search GitHub repositories"},
{"name": "filesystem_read", "description": "Read file contents"}
])
return manager
@pytest.fixture
def mock_bridge_server():
"""Mock tool bridge server."""
server = Mock()
server.socket_path = "/tmp/mcp-bridge.sock"
server.is_running = Mock(return_value=True)
return server
@pytest.fixture
def mock_injection_generator():
"""Mock tool injection generator."""
generator = Mock()
generator.generate_injection_code = Mock(return_value="""
# MCP Tool Injection
def github_search_repos(**kwargs):
import socket
# ... tool implementation
pass
""")
return generator
@pytest.fixture
def mock_config():
"""Mock forge configuration."""
config = Mock()
config.execution = Mock()
config.execution.default_backend = "simple"
config.execution.default_timeout = 300
config.execution.max_timeout = 1800
config.execution.default_memory = "512m"
config.execution.max_memory = "2g"
return config
@pytest.fixture
def execute_python_tool(
mock_simple_backend,
mock_jupyter_backend,
mock_client_manager,
mock_bridge_server,
mock_injection_generator,
mock_config
):
"""Create ExecutePythonTool instance with mocked dependencies."""
return ExecutePythonTool(
simple_backend=mock_simple_backend,
jupyter_backend=mock_jupyter_backend,
client_manager=mock_client_manager,
bridge_server=mock_bridge_server,
injection_generator=mock_injection_generator,
config=mock_config
)
@pytest.mark.asyncio
async def test_get_tool_definition(execute_python_tool):
"""Test that tool definition matches MCP spec."""
definition = execute_python_tool.get_tool_definition()
assert isinstance(definition, Tool)
assert definition.name == "execute_python"
assert definition.description is not None
assert "Execute Python code" in definition.description
# Verify required schema properties
schema = definition.inputSchema
assert schema["type"] == "object"
assert "code" in schema["properties"]
assert "mcp_tools" in schema["properties"]
assert "session_id" in schema["properties"]
assert "backend" in schema["properties"]
assert "timeout" in schema["properties"]
assert "custom_image" in schema["properties"]
assert "environment" in schema["properties"]
assert schema["required"] == ["code"]
@pytest.mark.asyncio
async def test_execute_simple_backend_stateless(
execute_python_tool,
mock_simple_backend
):
"""Test execution with simple backend (stateless)."""
arguments = {
"code": "print('Hello World'); 42"
}
result = await execute_python_tool.execute(arguments)
assert isinstance(result, list)
assert len(result) == 1
assert isinstance(result[0], TextContent)
# Parse JSON response
response = json.loads(result[0].text)
assert response["success"] is True
assert response["stdout"] == "Hello World"
assert response["result"] == "42"
assert response["execution_time"] == 0.5
assert "session_id" not in response or response["session_id"] is None
# Verify simple backend was called
mock_simple_backend.execute.assert_called_once()
@pytest.mark.asyncio
async def test_execute_jupyter_backend_stateful(
execute_python_tool,
mock_jupyter_backend
):
"""Test execution with jupyter backend (stateful)."""
arguments = {
"code": "x = 42; print('Stateful')",
"session_id": "test-session",
"backend": "jupyter"
}
result = await execute_python_tool.execute(arguments)
# Parse JSON response
response = json.loads(result[0].text)
assert response["success"] is True
assert "session_id" in response
# Verify jupyter backend was called
mock_jupyter_backend.execute_in_session.assert_called_once()
@pytest.mark.asyncio
async def test_execute_with_mcp_tools(
execute_python_tool,
mock_simple_backend,
mock_injection_generator,
mock_bridge_server
):
"""Test execution with MCP tool injection."""
arguments = {
"code": "repos = github_search_repos(query='test', max_results=10)",
"mcp_tools": ["github_search_repos"]
}
result = await execute_python_tool.execute(arguments)
# Parse JSON response
response = json.loads(result[0].text)
assert response["success"] is True
assert "available_tools" in response
assert "github_search_repos" in response["available_tools"]
# Verify injection generator was called
mock_injection_generator.generate_injection_code.assert_called_once_with(
tool_names=["github_search_repos"],
socket_path="/tmp/mcp-bridge.sock"
)
@pytest.mark.asyncio
async def test_execute_with_custom_image(
execute_python_tool,
mock_simple_backend
):
"""Test execution with custom image."""
arguments = {
"code": "import pandas as pd; pd.DataFrame()",
"custom_image": "mcp-forge/custom:my-ml-env"
}
_result = await execute_python_tool.execute(arguments)
# Verify backend was called with custom image
call_args = mock_simple_backend.execute.call_args
assert call_args is not None
# Check that custom_image was passed in execution options
assert "image" in call_args.kwargs or "custom_image" in call_args.kwargs
@pytest.mark.asyncio
async def test_execute_with_environment_template(
execute_python_tool,
mock_simple_backend
):
"""Test execution with environment template."""
arguments = {
"code": "import numpy as np; np.array([1,2,3])",
"environment": "datascience"
}
_result = await execute_python_tool.execute(arguments)
# Verify backend was called with environment specification
mock_simple_backend.execute.assert_called_once()
call_args = mock_simple_backend.execute.call_args
assert call_args is not None
@pytest.mark.asyncio
async def test_execute_with_timeout(
execute_python_tool,
mock_simple_backend
):
"""Test execution with custom timeout."""
arguments = {
"code": "import time; time.sleep(10)",
"timeout": 5
}
_result = await execute_python_tool.execute(arguments)
# Verify timeout was passed to backend
call_args = mock_simple_backend.execute.call_args
assert call_args is not None
@pytest.mark.asyncio
async def test_validate_arguments_missing_code(execute_python_tool):
"""Test that validation fails when code is missing."""
arguments = {}
with pytest.raises((ValueError, KeyError)):
await execute_python_tool.execute(arguments)
@pytest.mark.asyncio
async def test_validate_arguments_invalid_backend(execute_python_tool):
"""Test that validation fails for invalid backend."""
arguments = {
"code": "print('test')",
"backend": "invalid"
}
with pytest.raises(ValueError, match="backend"):
await execute_python_tool.execute(arguments)
@pytest.mark.asyncio
async def test_validate_arguments_invalid_timeout(
execute_python_tool,
mock_config
):
"""Test that validation fails for timeout exceeding max."""
arguments = {
"code": "print('test')",
"timeout": 3600 # Exceeds max_timeout of 1800
}
with pytest.raises(ValueError, match="Timeout"):
await execute_python_tool.execute(arguments)
@pytest.mark.asyncio
async def test_backend_selection_with_session_id(execute_python_tool):
"""Test that jupyter backend is selected when session_id provided."""
backend = execute_python_tool._select_backend(
session_id="test-session",
backend=None
)
assert backend == "jupyter"
@pytest.mark.asyncio
async def test_backend_selection_default(
execute_python_tool,
mock_config
):
"""Test that default backend is used when no session_id."""
backend = execute_python_tool._select_backend(
session_id=None,
backend=None
)
assert backend == "simple"
@pytest.mark.asyncio
async def test_backend_selection_explicit(execute_python_tool):
"""Test that explicit backend is respected."""
backend = execute_python_tool._select_backend(
session_id=None,
backend="jupyter"
)
assert backend == "jupyter"
@pytest.mark.asyncio
async def test_execution_error_handling(
execute_python_tool,
mock_simple_backend
):
"""Test that execution errors are handled gracefully."""
mock_simple_backend.execute = AsyncMock(return_value=ExecutionResult(
success=False,
stdout="",
stderr="NameError: name 'undefined_variable' is not defined",
result=None,
execution_time=0.1,
exit_code=1
))
arguments = {
"code": "print(undefined_variable)"
}
result = await execute_python_tool.execute(arguments)
# Parse JSON response
response = json.loads(result[0].text)
assert response["success"] is False
assert "NameError" in response["stderr"]
@pytest.mark.asyncio
async def test_bridge_server_not_running(
execute_python_tool,
mock_bridge_server
):
"""Test that error is raised if bridge server not running."""
mock_bridge_server.is_running = Mock(return_value=False)
arguments = {
"code": "repos = github_search_repos(query='test')",
"mcp_tools": ["github_search_repos"]
}
with pytest.raises(RuntimeError, match="bridge server"):
await execute_python_tool.execute(arguments)

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