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A Python-based execution tool that mimics a Jupyter notebook environment. It accepts code snippets, executes them, and maintains state across sessions — preserving variables, imports, and past results. Ideal for iterative development, debugging, or code execution.
Python Interpreter 是 ChatHome Skills 收录的 MCP 条目，来源为 Docker MCP Registry，质量分 100/100。 作为 Model Context Protocol 服务器，它向 Claude、Cursor、Copilot 等兼容 MCP 的 LLM 客户端暴露可直接调用的工具，让 agent 的能力超出模型内置范围。 该条目由 ChatHome Skills 的每日抓取从官方 registry 和 GitHub 发现查询中收录，每次运行都会重新核验仓库事实、新鲜度信号和安装元数据。 质量分综合了官方 registry 收录情况、可用安装命令、许可证完整性、仓库活跃度和 GitHub star 趋势，完整算法说明见来源页。安装命令已列于上方，可直接复制使用。 在将 Python Interpreter 加入生产 agent 工作流前，请核对上方的最近更新日期和仓库状态——下方事实快照是最近一次抓取的时点值。
docker run -i --rm mcp/mcp-code-interpreter运行此命令前，请先核对上游源码。
{
"raw": "name: mcp-code-interpreter\nimage: mcp/mcp-code-interpreter\ntype: server\nmeta:\n category: productivity\n tags:\n - productivity\nabout:\n title: Python Interpreter\n description: A Python-based execution tool that mimics a Jupyter notebook environment. It accepts code snippets, executes them, and maintains state across sessions — preserving variables, imports, and past results. Ideal for iterative development, debugging, or code execution.\n icon: https://raw.githubusercontent.com/akuadane/mcp-code-interpreter/refs/heads/main/asset/logo.png\nsource:\n project: https://github.com/akuadane/mcp-code-interpreter\n commit: 209ddfca8c7a20cd44834a6217dfca358b532f90\nrun:\n volumes:\n - notebooks:/app/notebooks\n",
"path": "servers/mcp-code-interpreter/server.yaml"
}