The Jupyter MCP Server is a service that implements the Model Context Protocol (MCP) and supports interaction with Jupyter notebooks.

Notebook Intelligence (NBI) is an AI coding assistant and extensible AI framework designed for JupyterLab. It supports models from GitHub Copilot and other LLM providers, including local Ollama models. It significantly enhances productivity through features such as code generation, auto - completion, and chat interfaces, and supports the integration of Model Context Protocol (MCP) services.

This project implements functions similar to Claude Code through the MCP protocol, providing tools for code understanding, modification, and command execution. It supports multiple models and Jupyter notebook operations, and has security control and development expansion capabilities.

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.

PyRunner MCP is an MCP server optimized for Python script development, providing a persistent kernel that enables variables to be retained across executions, offering a command - line experience similar to Jupyter Notebook.

The Sandbox Fusion MCP Server is an implementation that provides code interpreter functionality for large language models. It supports code execution in multiple programming languages and Jupyter notebook operations, and communicates with clients through stdio interaction.

The Jupyter Earth MCP Server is a service implementation based on the Model Context Protocol (MCP), providing tool support for geospatial analysis in Jupyter notebooks.

An MCP server for programmatically managing and operating Jupyter notebooks, providing functions such as reading, editing, and executing notebook cells, and supporting integration with Claude Desktop.

This is a Docker - based Jupyter multi - collaboration protocol client project that supports Windows and Mac systems and can be integrated with the Claude desktop for collaborative programming.

Thread MCP is a Jupyter notebook - style tool for LLM conversation management. It supports local and remote storage, intelligent search, conversation update, and resume functions, helping users share and continue conversations across different LLM clients.

Jupyter MCP Server is a server that implements the Model Context Protocol, supporting interaction with notebooks running on local JupyterLab.

This project is a Jupyter Notebook MCP server designed for the Cursor editor, providing a set of tools that allow AI agents to directly operate on cells in .ipynb files, solving the limitation that Cursor cannot directly edit notebook content in agent mode.

Jupythunder is a middleware that connects LLM chat interfaces (such as Claude) with Jupyter Notebook, supporting code conversion, execution, and data visualization analysis through natural language interaction.

JupyterMCP is an integration project that connects Jupyter Notebook with Claude AI, enabling bidirectional communication via the Model Context Protocol and supporting AI-assisted code execution, data analysis, and visualization operations.