py4agent-mcp 0.1.1

MCP (Model Context Protocol) Server for py4agent - Provides code execution capabilities through Jupyter kernels

py4agent-mcp

MCP (Model Context Protocol) Server for py4agent - Provides code execution capabilities through Jupyter kernels.

Features

• Isolated Python Runtimes: Create and manage independent Python execution environments
• MCP Protocol Integration: Seamless integration with Model Context Protocol
• Jupyter Kernel Backend: Powered by Jupyter Server's kernel management
• Multi-modal Output: Support for text, tables, plots, and images
• Background Execution: Async code execution for long-running operations
• Runtime Persistence: Automatic save/restore of runtime configurations

Installation

This project is part of a monorepo. Install dependencies:

# Install py4agent (required dependency)
pip install py4agent

# Install py4agent-mcp
cd py4agent-mcp
pip install -e .

For development setup, see INSTALL.md.

Usage

Start the MCP Server

# Start with default settings (127.0.0.1:8889)
py4agent-mcp

# Custom host and port
py4agent-mcp --host 0.0.0.0 --port 9000

# Enable debug logging
py4agent-mcp --debug

# Save logs to file
py4agent-mcp --log-dir ./logs

Command Line Options

• --host: Host to bind (default: 127.0.0.1)
• --port: Port to bind (default: 8889)
• --debug: Enable debug logging
• --workers: Number of worker processes (must be 1 for MCP)
• --log-dir: Directory to store logs (optional)

Python API

from py4agent_mcp import create_app, create_mcp_app, main
from py4agent_mcp.mcp_server import JupyterKernelManager

# Create FastAPI app with MCP mounted
app = create_app()

# Create MCP server app
mcp_app = create_mcp_app()

# Run the server
main()

MCP Tools

The server exposes the following MCP tools:

1. create_runtime: Create a new isolated Python runtime
2. list_runtimes: List all active runtimes
3. delete_runtime: Delete a runtime and free resources
4. restart_runtime: Restart a runtime (clears state)
5. interrupt_runtime: Interrupt running code (Ctrl+C)
6. get_runtime_status: Get runtime status information
7. execute_code: Execute Python code in a runtime

Project Structure

py4agent-mcp/
├── py4agent_mcp/           # Package directory
│   ├── __init__.py         # Package exports
│   └── mcp_server.py       # Main MCP server implementation
├── pyproject.toml          # Project configuration
├── README.md
├── INSTALL.md
├── CHANGES.md
└── test_install.sh

Architecture

• Built on FastAPI and FastMCP
• Uses Jupyter Server's AsyncMappingKernelManager
• Runtime configurations persist across server restarts
• Single-worker mode required for MCP SSE (Server-Sent Events)
• Depends on py4agent for code execution parsing
• Organized as a proper Python package for clean imports

Requirements

• Python >= 3.9
• py4agent >= 0.0.3
• FastAPI
• FastMCP
• Jupyter Server >= 2.0.0
• Jupyter Client >= 8.0.0

License

MIT