An MCP service specifically developed for AI to connect and manage Jupyter Notebooks
Jupyter MCP (Model Context Protocol) Server - Connect Jupyter notebooks with MCP-enabled applications
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
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A lightweight python notebook mcp server that allows AI agents and other MCP clients to interact with python notebook files seamlessly.
This is a Model Context Protocol (MCP) server designed to allow AI agents within Cursor to interact with Jupyter Notebook (.ipynb) files. It uses the nbformat library to safely manipulate notebook structures and enforces security by restricting operations to user-defined directories. It also uses nbconvert to enable exporting notebooks to various formats like Python scripts, HTML, and more. The server handles all notebook operations through a clean API that maintains notebook integrity and prevents malformed changes.
Model Context Protocol (MCP) server designed to allow AI agents within Cursor to interact with Jupyter Notebook (.ipynb) files
I was facing issues with https://github.com/datalayer/jupyter-mcp-server so I decided to take inspiration from it and configure it to make it more robust
🪐 🌎 Jupyter Earth MCP Server
🪐 ✨ Model Context Protocol (MCP) Server for Jupyter.
MCP server for Jupyter Notebooks and JupyterLab