Model Context Protocol (MCP) server designed to allow AI agents within Cursor to interact with Jupyter Notebook (.ipynb) files
Overview
What is Jupyter Notebook MCP Server?
The Jupyter Notebook MCP Server is a Model Context Protocol (MCP) server that enables AI agents within Cursor to interact with Jupyter Notebook (.ipynb) files, allowing for direct manipulation of notebook cells.
How to use Jupyter Notebook MCP Server?
To use the server, install it via PyPI and run it with the command line, specifying the directory of your notebooks. You can also configure it for use with Cursor by setting up the mcp.json file.
Key features of Jupyter Notebook MCP Server?
- Create, delete, rename, and read notebook files.
- Add, edit, delete, and manipulate notebook cells.
- Export notebooks to various formats (e.g., Python, HTML).
- Enforces security by restricting operations to user-defined directories.
Use cases of Jupyter Notebook MCP Server?
- Automating the editing of Jupyter notebooks for data analysis.
- Integrating AI capabilities into Jupyter notebooks for enhanced functionality.
- Facilitating collaborative work on Jupyter notebooks with AI assistance.
FAQ from Jupyter Notebook MCP Server?
- Can this server execute notebook cells?
No, the server does not execute cells; it only manipulates the notebook structure.
- Is there a limit on the size of notebook cells?
Yes, there are configurable limits on the size of cell source and output content.
- How do I report issues or contribute?
You can report issues on the GitHub repository and contributions are welcome following the contribution guidelines.