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Python Sandbox MCP Server

@cloudywu0410

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基本情報

カテゴリ

推論

トランスポート

stdio

作者

cloudywu0410

投稿者

cloudywu0410

Python Sandbox MCP Server について

A MCP server that enables LLMs to run python code safely in isolated Docker containers.

Python Sandbox MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "python-sandbox-sse": {
      "command": "mcp-proxy",
      "args": [
        "http://localhost:8060/eval"
      ],
      "ssePath": "/eval"
    }
  }
}

Python Sandbox MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is Python Sandbox MCP Server?

A secure Python code execution server that enables LLMs to run Python code safely in isolated Docker containers. It supports stdout capture, Matplotlib plotting with PNG image generation, and real-time communication via Server-Sent Events (SSE). The server uses the Snekbox Docker container for sandboxing, providing a safe environment for code execution. It is designed for integration with MCP-compatible clients such as Claude Desktop.

How to use Python Sandbox MCP Server?

First, clone the repository and install dependencies using uv add -r requirements.txt. Then pull the Snekbox Docker image and start the container with security parameters. Optionally install additional Python packages inside the container. Finally, update your MCP client configuration to point to the local build, e.g., using mcp-proxy with SSE endpoint http://localhost:8060/eval. The server can be configured via environment variables MCP_SERVER_NAME, SNEKBOX_URL, and TEMP_DIR.

Key features of Python Sandbox MCP Server

  • Regular Python code execution with stdout capture
  • Matplotlib plotting with PNG image generation

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