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Jupyter Notebook MCP
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Jupyter Notebook MCP

JupyterMCP is a tool that integrates Jupyter Notebook with Claude AI via the Model Context Protocol (MCP). It supports functions such as bidirectional communication, cell operations, and code execution, and is only compatible with Jupyter Notebook version 6.x.
Education and learning toolsDeveloper tools#Jupyter Integration#AI Assistance#Code Execution#Bidirectional Communication.Python
2.5 points
10.9K
Open Site

Overview

Installation

Content Details

Alternatives

What is the Jupyter Notebook MCP Server?

The Jupyter Notebook MCP Server allows Claude AI to directly control Jupyter Notebook via the Model Context Protocol, enabling AI-assisted code execution, data analysis, and visualization.

How to use the Jupyter Notebook MCP Server?

First, install and configure the server. Then, start the WebSocket server in Jupyter Notebook. Finally, interact with the server through Claude AI.

Applicable Scenarios

Suitable for users who need automated data analysis, code generation, and presentation creation.

Main Features

Bidirectional Communication
Achieve real-time communication via the WebSocket protocol.
Cell Operations
Insert, execute, and manage cells in Jupyter Notebook.
Notebook Management
Save notebooks and retrieve notebook information.
Cell Execution
Run specific cells or the entire notebook.
Output Retrieval
Get the text output of executed cells (default limit: 1500 characters).
Advantages
Support seamless integration between Claude AI and Jupyter Notebook.
Simplify complex data analysis and visualization processes.
Provide powerful customization features to meet different needs.
Limitations
Only compatible with Jupyter Notebook version 6.x.
Do not support advanced Jupyter widget interactions.
Long periods of inactivity may cause the connection to time out.

How to Use

Install the Dependent Environment
Ensure that Python 3.12 or a higher version is installed, and use the `uv` package manager to install the required dependencies.
Configure the Claude AI Desktop Application
Edit the `claude_desktop_config.json` file and add the MCP server configuration.
Start Jupyter Notebook
Start the Jupyter Notebook server and select the `jupyter-mcp` kernel.
Initialize the WebSocket Server
Run the initialization script in Jupyter Notebook.

Usage Examples

Create a Seaborn Presentation
Use Claude AI to generate a presentation about the Seaborn library, including Markdown explanations and code examples.
Run Stata Code
Use Claude AI to run Stata code and interpret the results.

Frequently Asked Questions

Does the Jupyter Notebook MCP Server support other versions of Jupyter Notebook?
Why did my cell execution fail?
How to solve the connection timeout problem?

Related Resources

Project Repository
Visit the official GitHub repository to get more materials.
Claude AI Official Website
Learn more about Claude AI.
Jupyter Notebook Official Documentation
Deeply learn the basics of Jupyter Notebook.

Installation

Copy the following command to your Client for configuration
{
       "mcpServers": {
           "jupyter": {
               "command": "uv",
               "args": [
                   "--directory",
                   "/ABSOLUTE/PATH/TO/PARENT/REPO/FOLDER/src",
                   "run",
                   "jupyter_mcp_server.py"
               ]
           }
       }
   }
Note: Your key is sensitive information, do not share it with anyone.

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