
jupyter-notebook-mcpA Model Context Protocol (MCP) for Jupyter Notebook
Overview
Key features
- Two-way communication through a WebSocket-based server
- Cell manipulation (insert, execute, manage)
- Notebook management (save, retrieve information)
- Cell execution (run specific cells or all cells)
- Output retrieval with text limitation options
Pricing
- Model
- Free
- Category
- MCP Servers
- Rating
- No reviews yet
Use cases
AI-assisted Data Analysis
Use Claude AI to interact with Jupyter Notebook for data analysis, visualization, and code execution.
Automated Code Execution
Leverage Claude AI to execute specific cells or all cells in a Jupyter Notebook, streamlining workflows.
Pros & Cons
Pros
- Enables AI-assisted code execution and data analysis
- Allows Claude AI to directly interact with and control Jupyter Notebooks
- Supports two-way communication between Claude AI and Jupyter Notebook
Cons
- Only compatible with Jupyter Notebook version 6.x
- Requires Python 3.12 or newer and uv package manager
- Setup process involves multiple steps and configuration
Battle record
Across 1 battle in the Pantheon.
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Q&A
What are the prerequisites for installing JupyterMCP?
You need Python 3.12 or newer and the uv package manager. After cloning the repo, create a virtual environment, install the kernel, and optionally add packages like seaborn. Finally, configure the Claude desktop app with the mcpServers settings.
Asked by Thandiwe Dlamini · Jan 12, 2026
How does Claude AI interact with the notebook using JupyterMCP?
Claude can insert, execute, and manage cells, save notebooks, retrieve information, run specific or all cells, and fetch output content (with text limits) via a WebSocket-based two‑way communication channel.
Asked by Farah Rahimi · Dec 15, 2025
What Jupyter versions does JupyterMCP support?
JupyterMCP works only with Jupyter Notebook 6.x. It is not compatible with Jupyter Lab, Notebook v7.x, VS Code Notebooks, or Google Colab.
Asked by Ximenez Alvarado · Nov 16, 2025
What are the main components of the JupyterMCP integration?
It consists of three parts: a WebSocket server (jupyter_ws_server.py) inside the notebook, a client JavaScript (client.js) that runs in the notebook, and an MCP server (jupyter_mcp_server.py) that implements the Model Context Protocol.
Asked by Nils Johansson · Nov 18, 2025
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