- Added session management for stateful execution in `sessions.py`, including session creation, state documentation, and cleanup of idle sessions.
- Introduced `SecureContainerManager` in `containers.py` for managing container lifecycle with security enforcement, including creation, starting, stopping, and removal of containers.
- Updated server initialization to use the new session manager.
- Enhanced container configuration to skip resource limits for very high values, indicating no enforcement.
- Improved logging capabilities for container operations in the audit logger.
- Refactored Jupyter backend to integrate with the new session management and resource limits handling.
The Jupyter container image is now built and ready:
✅ mcp-forge/jupyter:latest (196 MB)
✅ ipykernel 6.29.0 verified working
✅ Build system in place
Updated status document to reflect completion.
Implementation is now ~95% complete:
- Core backend: 100% ✅
- Unit tests: 100% (22/22) ✅
- Container image: 100% ✅
- Integration tests: Pending
- Performance tuning: Pending
Ready for integration testing with real containers!
Completed:
✅ ZMQ port management and allocation
✅ Connection file mounting
✅ Host networking configuration
✅ Kernel readiness polling
✅ Error handling with proper status codes
✅ MCP injection support
✅ All 22 unit tests passing
Remaining:
- Container image with ipykernel
- Proper kernel restart implementation
- Integration tests with real containers
- Performance optimizations
The core implementation is feature-complete and well-tested with mocks.
Next phase is building the container image and testing with real kernels.
Container Configuration:
- Added network_mode and port_bindings to ContainerConfig
- Support for 'none', 'host', and 'bridge' network modes
- Default remains 'none' for security
Jupyter Kernel Manager:
- Dynamic port allocation for 5 ZMQ channels using socket.socket()
- _allocate_ports() finds available ports via OS binding
- Host networking mode for Jupyter kernels (network_mode='host')
- Connection file properly mounted into container
- Port bindings tracked for documentation
Kernel Readiness:
- _wait_for_kernel_ready() polls shell port until kernel responds
- Configurable timeout (30s) and poll interval (0.5s)
- Replaced time.sleep(2) with proper connectivity check
- Early return when kernel is ready
This completes the core ZMQ communication infrastructure needed
for real Jupyter kernel operation.
- start_kernel() now accepts injection_code and bridge_socket_path
- Bridge Unix domain socket mounted as volume in container
- Injection code executed once on kernel startup (silent, no history)
- New _execute_injection_code() helper method with error handling
- Parameters passed through SessionManager.create_session()
- Parameters passed through JupyterBackend.execute()
- Updated JUPYTER_IMPLEMENTATION_STATUS.md
This mirrors the MCP injection pattern from the simple executor,
allowing MCP tools to be available in Jupyter sessions.
- Comprehensive status of real Jupyter backend implementation
- Architecture decisions documented (1:1 mapping)
- Completed features and remaining TODOs
- Test status and known issues
- Next steps prioritized
- Architecture diagrams and communication flow
- Replaced mock exec() implementation with real Jupyter protocol
- Uses jupyter-client (host) to connect to ipykernel (container) via ZMQ
- 1:1 mapping: one container per session, one kernel per container
- Proper Jupyter message protocol for code execution
- Kernel lifecycle management (start, execute, shutdown, restart)
- Namespace inspection via introspection code
- Idle kernel cleanup
- Connection file management
- Backed up old implementation as kernel_old.py
TODO:
- Container image needs ipykernel installed
- Need to implement proper port mapping for ZMQ
- Need to mount connection file into container
- Add better kernel readiness check
- Implement restart_kernel properly with KernelManager
- Write tests
