A powerful MCP server for AI-driven Jupyter Notebook management and execution
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<div align="center"> <!-- omit in toc --> # 🪐 Jupyter MCP Server <img title="cover" src="https://raw.githubusercontent.com/ChengJiale150/jupyter-mcp-server/main/assets/cover.png" alt="Jupyter MCP Server" data-align="center" width="700"> <strong>专门为AI连接与管理Jupyter Notebook而开发的MCP服务</strong> *由 [ChengJiale150](https://github.com/ChengJiale150) 开发* [](https://www.python.org/downloads/) [](LICENSE) [](https://pypi.org/project/better-jupyter-mcp-server/) [](https://registry.modelcontextprotocol.io/v0/servers?search=io.github.ChengJiale150/jupyter-mcp-server) [English](https://github.com/ChengJiale150/jupyter-mcp-server/blob/main/README_EN.md) | 中文 </div> ## 📖 目录 - [项目简介](#-项目简介) - [工具一览](#-工具一览) - [快速上手](#-快速上手) - [最佳实践](#-最佳实践) - [贡献指南](#-贡献指南) - [致谢](#-致谢) ## 🎯 项目简介 Jupyter MCP Server 是一个基于 [Model Context Protocol (MCP)](https://modelcontextprotocol.io/) 的服务，为目前最先进的的AI IDE(如 [Cursor](https://www.cursor.com/)) 与CLI工具(如[Gemini CLI](https://github.com/google-gemini/gemini-cli))提供连接与管理Jupyter Notebook的能力。使得AI能够操作Notebook，进行数据分析、可视化、机器学习等任务。 ### 🤔 为什么需要Jupyter MCP Server Jupyter Notebook 是数据科学家最常用的工具之一，它提供了一个交互式的环境，使其可以方便地进行数据分析、可视化、机器学习等探索性任务。然而，由于Notebook自身的格式限制，使得其难以像纯文本文件（如Markdown、Python文件）一样被AI直接理解。 现有的提供操作Notebook的工具或MCP服务，要么仅能阅读与编辑Notebook，要么仅能操纵单个Notebook，难以满足同时操纵多个Notebook的复杂需求。此外，大多数工具也不支持多模态输出，无法充分利用目前最先进的多模态大模型（如Gemini 2.5）的强大图文理解能力。 Jupyter MCP Server 就是为了解决这个问题而开发的。它通过MCP协议，向AI提供了管理Jupyter Kernel与Notebook的工具，使其能够操纵**多个Notebook**进行**交互式**的任务执行，并输出**多模态**结果，助力数据科学家提高分析效率。 ### ✨ 关键亮点 - 🔌 **MCP兼容**: 能够在任何支持MCP协议的IDE或CLI工具中使用 - 📚 **多Notebook管理**: 支持同时管理多个Notebook - 🔁 **交互式执行**: 能够根据Cell的输出自动调整执行策略 - 📊 **多模态输出**: 支持输出多模态结果，如文本、图片、表格等 ## 🔧 工具一览 ### Notebook管理模块 | 名称 …
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