A Model Context Protocol (MCP) server for executing Python code and managing Python environments. This server allows Claude and other LLMs to run Python code, manage files, and work with Python…
Python MCP Server is an MCP project maintained in the timtech4u/python-mcp-server repository. The maintainer describes its purpose as “A Model Context Protocol (MCP) server for executing Python code and managing Python environments. This server allows Claude and other LLMs to run Python code…”. Read the project documentation for the complete scope.
The project provides a local client configuration using node. Follow the repository’s build and installation steps before copying it, and replace example paths with the paths on your own computer.
Project documentation · Repository · Discovery listing. This profile records the public documentation checked on 2026-10-08.
Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.
| Tool | What it does |
|---|---|
| execute_python_code | |
| execute_python_file | |
| check_python_version | |
| list_python_files | |
| read_python_file | |
| write_python_file |
{
"mcpServers": {
"python": {
"command": "node",
"args": [
"/absolute/path/to/python-mcp-server/dist/index.js"
],
"disabled": false,
"autoApprove": [
"execute_python_code",
"execute_python_file",
"check_python_version",
"list_python_files",
"read_python_file",
"write_python_file"
]
}
}
}From the project documentation. Replace placeholders and example paths before connecting.
Give your assistant a real code sandbox — isolated cloud VMs for actually running the code it writes.
Runs Python code locally within an interactive REPL environment.
Executes Python code within ephemeral Daytona sandboxes, facilitating tasks such as code execution, file manipulation, and web server previewing.
Enables Claude to manage software development projects with project context awareness and code execution via Docker.
Give your agent a persistent workspace: files, a code sandbox and a public URL to publish to.
Build Apps and run code in 30 languages — sandboxed, with persistent sessions for agent loops.