Python Interpreter MCP

A Model Context Protocol (MCP) server that provides Python code execution capabilities through a REST API interface.

Overview

This MCP server exposes a single tool execute_python_code that allows AI assistants and other MCP clients to execute Python code remotely. The server acts as a bridge between MCP clients and a Python interpreter REST API service.

Features

• Execute arbitrary Python code through MCP
• Returns complete execution results including stdout, stderr, exit codes, and file outputs
• Built with FastMCP for easy MCP server development
• Async HTTP client for reliable communication with the Python interpreter service

Error Handling

The server handles various error conditions:

• Request errors: Network connectivity issues
• HTTP errors: API service errors (4xx/5xx responses)
• Timeout errors: Long-running code execution

All errors are returned in the standard response format with appropriate error messages in the stderr field.

Dependencies

• fastmcp: MCP server framework
• httpx: Async HTTP client for API communication

Prerequisites

• Python 3.11 or higher
• A Python interpreter REST API service running on localhost:50081 (such as BeeAI Code Interpreter)

Installation

1. Clone this repository:

   Copy

   git clone <repository-url>
   cd python-interpreter-mcp

2. Install dependencies using uv:

   Copy

   uv sync

Usage

Running the MCP Server

Start the MCP server:

python main.py

The server will start and expose the execute_python_code tool via the MCP protocol.

Adding to Claude Desktop

Add this configuration to your Claude Desktop MCP settings:

{
  "mcpServers": {
    "python-interpreter": {
      "command": "uv",
      "args": [
        "--directory",
        "/path/to/python-interpreter-mcp",
        "run",
        "main.py"
      ]
    }
  }
}

Replace /path/to/python-interpreter-mcp with the actual path to your project directory.

Tool: execute_python_code

Executes Python code using a remote interpreter service.

Parameters:

• source_code (string): The Python code to execute

Returns: A dictionary containing:

• stdout: Standard output from the Python execution
• stderr: Standard error output (if any)
• exit_code: Exit code of the Python process
• files: Any files generated during execution

Example usage:

# Through an MCP client
result = await execute_python_code("print('Hello, World!')")
# Returns: {"stdout": "Hello, World!\n", "stderr": "", "exit_code": 0, "files": {}}

Configuration

The server is configured to connect to a Python interpreter REST API at:

• URL: http://localhost:50081/v1/execute
• Method: POST
• Content-Type: application/json

To use a different interpreter service, modify the URL in main.py:23.

License

MIT License