Safe sandboxes for llms
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# MCP Sandbox <p align="center"> <img src="assets/mcp_logo.svg" alt="MCP Sandbox Logo" width="120" height="120" /> </p> # Feel free to try on [mcp sandbox](http://www.mcpsandbox.xyz/) [](https://www.python.org/downloads/release/python-3120/) [](https://opensource.org/licenses/Apache-2.0) [](https://github.com/astral-sh/uv) [](https://github.com/estitesc/mission-control-link) [中文文档](README_zh.md) | English # Demo <p align="center"> <img src="assets/demo.gif" alt="demo" width="1280"/> </p> Python MCP Sandbox is an interactive Python code execution tool that allows users and LLMs to safely execute Python code and install packages in isolated Docker containers. # Viby [Viby](https://github.com/JohanLi233/viby) works with mcp sandbox ## Features - 🐳 **Docker Isolation**: Securely run Python code in isolated Docker containers - 📦 **Package Management**: Easily install and manage Python packages with support for custom PyPI mirrors - 📊 **File Generation**: Support for generating files and accessing them via web links - 🔐 **Authentication**: Optional API key-based authentication for multi-user environments - 🎨 **Web UI**: Built-in web interface for managing sandboxes and viewing execution results - 🌐 **SSE Support**: Real-time communication via Server-Sent Events for MCP integration ## Installation ```bash # Clone the repository git clone https://github.com/JohanLi233/python-mcp-sandbox.git cd python-mcp-sandbox # Install dependencies using uv uv venv uv sync # Start the server uv run main.py ``` The default SSE endpoint is http://127.0.0.1:8181/sse, and you can interact with it via the MCP Inspector through SSE or any other client that supports SSE connections. ## Configuration The s…
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