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Safe Local Python Executor MCP Server

@maxim-saplin

Repository

Basic information

Category

Cloud & Infrastructure

License

MIT

Transports

stdio

Author

maxim-saplin

About Safe Local Python Executor MCP Server

Stdio MCP Server wrapping custom Python runtime (LocalPythonExecutor) from Hugging Faces' `smolagents` framework. The runtime combines the ease of setup (compared to docker, VM, cloud runtimes) while providing safeguards and limiting operations/imports that are allowed inside the

#safe-local-python-executor#python-executor#llm-tool

Safe Local Python Executor MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "safe-local-python-executor": {
      "command": "uv",
      "args": [
        "--directory",
        "/path/to/mcp_local_python_executor/",
        "run",
        "mcp_server.py"
      ]
    }
  }
}

Safe Local Python Executor MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is Safe Local Python Executor?

Safe Local Python Executor is an MCP server (stdio transport) that wraps Hugging Face's LocalPythonExecutor to provide a safer Python runtime for executing code generated by LLMs locally, without needing Docker or a VM. It is intended for LLM apps like Claude Desktop, Cursor, or any MCP-compatible client.

How to use Safe Local Python Executor?

Install via Smithery (npx -y @smithery/cli install @maxim-saplin/mcp_safe_local_python_executor --client claude) or manually: install uv, clone the repo, and run uv run mcp_server.py. Then configure Claude Desktop by adding the tool to its configuration file with the command uv and appropriate arguments.

Key features of Safe Local Python Executor

  • Exposes run_python tool for safe code execution
  • Runs locally with no Docker or VM required
  • Restricts imports to a safe list (collections, math, etc.)
  • No file I/O operations allowed
  • Uses Hugging Face's LocalPython

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