JupyterMCP

JupyterMCP

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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README

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

  1. 克隆仓库:
git clone https://github.com/maskperson114514/jupyterMCP.git
cd jupyterMCP
  1. 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

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