General-purpose Python execution sandbox with FastMCP tools, artifact capture, Manim rendering, and web demo workflows
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# Sandbox MCP <!-- mcp-name: io.github.scooter-lacroix/sandbox-mcp --> > General-purpose Python execution sandbox for MCP clients, with persistent execution, artifact capture, Manim rendering, guarded shell access, and lightweight web app workflows. [](https://www.python.org/downloads/) [](https://github.com/jlowin/fastmcp) [](LICENSE) Sandbox MCP is designed to stay broadly useful across coding assistants and MCP directories. It can run Python, generate plots and files, render Manim animations, launch or export small Flask/Streamlit demos, and expose prompts/resources that help an LLM discover how to use the sandbox well. ## 🎬 Demo: Manim Animation in Action See the Sandbox MCP server creating beautiful mathematical animations with Manim: <div align="center"> <img src="examples/SquareToCircle.gif" alt="Manim Animation Demo" width="480" height="360"> </div> **Alternative formats**: [MP4 Video](examples/SquareToCircle.mp4) | [GIF Animation](examples/SquareToCircle.gif) *Example: 3D mathematical animation generated automatically by the sandbox* ## 🚀 Quick Start ```bash # Clone the repository git clone https://github.com/scooter-lacroix/sandbox-mcp.git cd sandbox-mcp # Install with uv (recommended) uv venv && uv pip install -e . # Run the MCP server uv run sandbox-server-stdio ``` ## ✨ Features ### 🔧 **Enhanced Python Execution** - **Code Validation**: Automatic input validation and formatting - **Virtual Environment**: Auto-detects and activates `.venv` - **Persistent Context**: Variables persist across executions - **Enhanced Error Handling**: Detailed diagnostics with colored output - **Interactive REPL**: Real-time Python shell with tab completion ### 🎨 **Intelligent Artifact Management** - **Automatic Capture**: Matplotlib plots and PIL images…
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