Jupyter MCP Server for Claude Desktop

Name: Jupyter MCP Server for Claude Desktop
Author: harshitha-8

@harshitha-8

关于 Jupyter MCP Server for Claude Desktop

Jupyter MCP Server Jupyter MCP Server is an implementation of the Model Context Protocol (MCP) server that enables interaction with Jupyter notebooks running in any JupyterLab environment, including your local JupyterLab instance

#jupyter #mcp #claude-desktop

基本信息

分类

数据与分析

运行时

jupyter notebook

传输方式

stdio

发布者

harshitha-8

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "Integrating-the-Jupyter-server-with-claude-desktop-uisng-the-powerful-model-context-protocol": {
      "command": "npx",
      "args": [
        "-y",
        "@smithery/cli",
        "install",
        "@datalayer/jupyter-mcp-server",
        "--client",
        "claude"
      ]
    }
  }
}

工具

未检测到工具

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Jupyter MCP Server for Claude Desktop?

Jupyter MCP Server for Claude Desktop is an implementation of the Model Context Protocol (MCP) server that enables interaction with Jupyter notebooks running in any JupyterLab environment, including local instances. It is designed for seamless integration with Claude Desktop across macOS, Windows, and Linux.

How to use Jupyter MCP Server for Claude Desktop?

Install the server Docker image or use Smithery, configure it in Claude Desktop’s MCP settings with environment variables SERVER_URL, TOKEN, and NOTEBOOK_PATH, then start JupyterLab on port 8888. The server provides two tools: add_execute_code_cell and add_markdown_cell.

Key features of Jupyter MCP Server for Claude Desktop

Provides an MCP server interface for Jupyter notebooks.
Supports real-time collaboration via JupyterLab.
Integrates smoothly with Claude Desktop on all platforms.
Programmatically add and execute code or markdown cells.
Runs inside Docker for easy deployment.

Use cases of Jupyter MCP Server for Claude Desktop

Let Claude interactively execute Python code in a Jupyter notebook.
Automate notebook cell creation and execution from AI conversations.
Enable collaborative data analysis with AI assistance.
Integrate JupyterLab workflows with Claude Desktop’s MCP capabilities.

FAQ from Jupyter MCP Server for Claude Desktop

What dependencies are required to run the server?

You need JupyterLab 4.4.1, jupyter-collaboration 4.0.2, ipykernel, and datalayer_pycrdt 0.12.15. The server itself runs in Docker.

How do I configure the server for Linux vs macOS/Windows?

On Linux use --network=host and http://localhost:8888; on macOS/Windows use http://host.docker.internal:8888. The TOKEN must match your JupyterLab setup.

Can I install the server without Docker?

The README only describes Docker usage and Smithery installation via npx. No native install is documented.

What tools does the server expose?

Two tools: add_execute_code_cell (takes cell_content string, returns cell output) and add_markdown_cell (takes cell_content string, returns success message).

Where does the notebook file live?

The NOTEBOOK_PATH environment variable defines the notebook file name (e.g., notebook.ipynb), relative to the directory where JupyterLab is started.

数据与分析分类下的更多 MCP 服务器

Healthcare MCP Server

Cicatriiz

A Model Context Protocol (MCP) server providing AI assistants with access to healthcare data and medical information tools, including FDA drug info, PubMed, medRxiv, NCBI Bookshelf, clinical trials, ICD-10, DICOM metadata, and a medical calculator.

117

Google Analytics MCP Server

surendranb

Google Analytics 4 data to AI agents, agentic workflows, and MCP clients. Give agents analysis-ready access to website traffic, user behavior, and performance data with schema discovery, server-side aggregation, and safe defaults that reduce data wrangling.

225