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.
Extract and display all cells, including code, text, and outputs, from a Jupyter notebook file using its absolute path for comprehensive analysis and review.
Enables interaction with Jupyter notebooks through the Model Context Protocol, supporting code execution and markdown insertion within JupyterLab environments.
Enables inspection and editing of Jupyter notebook files (.ipynb) through tools for reading, adding, updating, deleting, moving, and converting cells while preserving metadata.
Execute Python code with persistent state across Claude conversations using a background Jupyter kernel. Supports creating notebooks, managing virtual environments, and maintaining variables/imports between code executions.