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Safe Local Python Executor

Createdmaxim-saplin

Executes Python code generated by LLMs in a secure, locally-hosted environment, leveraging Hugging Face's LocalPythonExecutor and MCP for LLM application integration.

Github Repo

About

This tool provides a secure way to execute Python code generated by Large Language Models (LLMs) locally, addressing the need for a safe and easily set-up Python runtime. Wrapping Hugging Face's `LocalPythonExecutor` within an MCP (Model Context Protocol) server, it allows LLM applications, such as Claude Desktop or Cursor, to access a restricted Python environment without the complexities of Docker or virtual machines. It offers a balance between ease of use and security, limiting file I/O operations and restricting importable modules to mitigate potential risks associated with executing untrusted code.

Key Features

  • Limits available Python imports to a predefined safe list.
  • 6 GitHub stars
  • Runs in a `uv`-managed Python virtual environment.
  • Offers safer Python code execution than direct `eval()` calls.
  • Restricts file I/O operations for enhanced security.
  • Exposes a `run_python` tool via MCP.

Use Cases

  • Providing a secure Python runtime for AI-powered coding assistants.
  • Adding a code interpreter to LLM applications like Claude Desktop.
  • Executing LLM-generated Python code in a controlled environment.