JupyterMCP

JupyterMCP，允许通过MCP（Model Control Protocol）接口远程控制和操作Jupyter笔记本。该项目提供了一个sse协议的MCP，使AI助手或其他应用程序能够以编程方式创建、编辑和执行Jupyter笔记本单元格。

功能特点

📝 创建和打开Jupyter笔记本
▶️ 执行单个或多个代码单元格
✏️ 插入和编辑单元格内容
🔎 获取笔记本结构和单元格信息
💾 保存笔记本状态
🗑️ 删除单元格
📊 获取代码执行结果和输出
🖼️ 设置幻灯片模式（用于演示）

安装说明

前提条件

Python 3.10+
Jupyter Notebook 或 JupyterLab

安装步骤

克隆仓库：

git clone https://github.com/maskperson114514/jupyterMCP.git
cd jupyterMCP

安装依赖：

pip install -r requirements.txt

使用方法

在客户端中配置MCP

{
  "mcpServers": {
    "jupyterMCP": {
      "autoApprove": [
        "save_notebook",
        "get_cells_info",
        "insert_and_execute_cell",
        "run_cell",
        "edit_cell_content",
        "execute_cells_by_indices",
        "run_all_cells",
        "get_notebook_info",
        "get_cell_text_output",
        "set_slideshow_type"
      ],
      "timeout": 60,
      "url": "http://localhost:48080/sse",
      "transportType": "sse"
    }
  }
}

启动服务器

python jupyterMCP.py --host 127.0.0.1 --port 48080

参数说明：

--host: 服务器绑定的主机地址（默认：127.0.0.1）
--port: 服务器监听的端口（默认：48080）

API功能说明

JupyterMCP提供以下主要工具函数：

功能	描述
`open_notebook`	打开或创建笔记本
`run_cell`	执行特定索引的单元格
`execute_cells_by_indices`	按序执行多个单元格
`save_notebook`	保存笔记本
`insert_and_execute_cell`	插入并执行新单元格
`insert_cell`	插入新单元格（不执行）
`get_cells_info`	获取所有单元格信息
`get_notebook_info`	获取笔记本基本信息
`run_all_cells`	执行所有代码单元格
`get_cell_text_output`	获取单元格文本输出
`edit_cell_content`	编辑单元格内容
`set_slideshow_type`	设置单元格幻灯片类型
`delete_cell`	删除单元格

This server cannot be installed

security - not tested

license - not found

quality - not tested

How are these scores calculated?

hybrid server

The server is able to function both locally and remotely, depending on the configuration or use case.

A Model Control Protocol (MCP) server that enables remote programmatic control of Jupyter notebooks, allowing AI assistants and applications to create, edit, and execute notebook cells via SSE protocol.

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JupyterMCP

JupyterMCP

功能特点

安装说明

前提条件

安装步骤

使用方法

启动服务器

API功能说明

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