Export a notebook from Databricks workspace in formats like SOURCE, HTML, JUPYTER, or DBC by specifying the path. Simplifies sharing and reuse of notebook content.
Provides tools for interacting with Jupyter notebooks, allowing users to read, add, and execute notebook cells. It supports full notebook execution and metadata retrieval through the FastMCP framework.
A Model Context Protocol server for comprehensive Jupyter notebook manipulation, featuring position-based cell operations and bulk editing. It includes specialized integration for VS Code to synchronize notebook changes and trigger file reloads.
Enables inspection and editing of Jupyter notebook files (.ipynb) through tools for reading, adding, updating, deleting, moving, and converting cells while preserving metadata.