Sponsored by Deepsite.site

Safe Local Python Executor

Created By
maxim-saplin9 months ago
Overview

what is Safe Local Python Executor?

Safe Local Python Executor is a custom Python runtime that provides basic isolation and security for running Python code generated by large language models (LLMs). It wraps Hugging Face's LocalPythonExecutor and exposes it via the Model Context Protocol (MCP) for use in LLM applications.

how to use Safe Local Python Executor?

To use the Safe Local Python Executor, install the required dependencies, clone the repository, and start the server using the command uv run mcp_server.py. Configure your LLM application (like Claude Desktop) to connect to the Python executor.

key features of Safe Local Python Executor?

  • Exposes a run_python tool for executing Python code.
  • Provides safer execution of Python code compared to direct execution.
  • Runs in a virtual environment with a restricted list of imports for enhanced security.

use cases of Safe Local Python Executor?

  1. Running Python code generated by LLMs in a secure environment.
  2. Integrating Python execution capabilities into LLM applications like Claude Desktop.
  3. Providing an alternative to traditional Python interpreters in LLM tools.

FAQ from Safe Local Python Executor?

  • Is the Safe Local Python Executor secure?

Yes! It provides a safer execution environment by restricting imports and running in a controlled virtual environment.

  • How do I install the Safe Local Python Executor?

Follow the installation instructions in the documentation, which include installing uv, cloning the repository, and starting the server.

  • Can I use it with any LLM application?

Yes! It is designed to work with any MCP compatible client, including Claude Desktop.

Server Config

{
  "mcpServers": {
    "safe-local-python-executor": {
      "command": "uv",
      "args": [
        "--directory",
        "/path/to/mcp_local_python_executor/",
        "run",
        "mcp_server.py"
      ]
    }
  }
}
Recommend Servers
TraeBuild with Free GPT-4.1 & Claude 3.7. Fully MCP-Ready.
Visual Studio Code - Open Source ("Code - OSS")Visual Studio Code
AiimagemultistyleA Model Context Protocol (MCP) server for image generation and manipulation using fal.ai's Stable Diffusion model.
Serper MCP ServerA Serper MCP Server
Baidu Map百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Context7Context7 MCP Server -- Up-to-date code documentation for LLMs and AI code editors
MiniMax MCPOfficial MiniMax Model Context Protocol (MCP) server that enables interaction with powerful Text to Speech, image generation and video generation APIs.
CursorThe AI Code Editor
Tavily Mcp
BlenderBlenderMCP connects Blender to Claude AI through the Model Context Protocol (MCP), allowing Claude to directly interact with and control Blender. This integration enables prompt assisted 3D modeling, scene creation, and manipulation.
WindsurfThe new purpose-built IDE to harness magic
EdgeOne Pages MCPAn MCP service designed for deploying HTML content to EdgeOne Pages and obtaining an accessible public URL.
Howtocook Mcp基于Anduin2017 / HowToCook (程序员在家做饭指南)的mcp server,帮你推荐菜谱、规划膳食,解决“今天吃什么“的世纪难题; Based on Anduin2017/HowToCook (Programmer's Guide to Cooking at Home), MCP Server helps you recommend recipes, plan meals, and solve the century old problem of "what to eat today"
TimeA Model Context Protocol server that provides time and timezone conversion capabilities. This server enables LLMs to get current time information and perform timezone conversions using IANA timezone names, with automatic system timezone detection.
Jina AI MCP ToolsA Model Context Protocol (MCP) server that integrates with Jina AI Search Foundation APIs.
ChatWiseThe second fastest AI chatbot™
Playwright McpPlaywright MCP server
DeepChatYour AI Partner on Desktop
MCP AdvisorMCP Advisor & Installation - Use the right MCP server for your needs
Amap Maps高德地图官方 MCP Server
Zhipu Web SearchZhipu Web Search MCP Server is a search engine specifically designed for large models. It integrates four search engines, allowing users to flexibly compare and switch between them. Building upon the web crawling and ranking capabilities of traditional search engines, it enhances intent recognition capabilities, returning results more suitable for large model processing (such as webpage titles, URLs, summaries, site names, site icons, etc.). This helps AI applications achieve "dynamic knowledge acquisition" and "precise scenario adaptation" capabilities.