Jupyter
Enables AI models and CLI tools to connect with and manage Jupyter Notebooks for interactive data analysis and machine learning.
About
Jupyter is an MCP (Model Context Protocol) server designed to bridge the gap between advanced AI IDEs (like Cursor) and CLI tools (like Gemini CLI) with Jupyter Notebooks. It overcomes the inherent limitations of Notebooks as plain text files, allowing AI to not only read and edit, but also interactively execute code across multiple Notebooks. This server provides robust tools for managing Jupyter Kernels and Notebooks, facilitating complex, multi-Notebook tasks and delivering rich, multimodal outputs to leverage the capabilities of modern multimodal large language models, significantly enhancing data scientists' productivity.
Key Features
- MCP compatibility for integration with AI IDEs and CLI tools
- 1 GitHub stars
- Manages multiple Jupyter Notebooks simultaneously
- Supports interactive execution, adapting strategies based on cell outputs
- Generates multimodal outputs including text, images, and tables
Use Cases
- Enabling AI-driven visualization tasks within Notebooks
- Allowing AI to operate Jupyter Notebooks for data analysis
- Facilitating AI-powered machine learning experiments in an interactive Notebook environment
