Hey, couldn't find a working Databricks MCP so I forked one and fixed it: https://github.com/markov-kernel/databricks-mcp

This allows you to (using Cursor, Claude Code, Windsurf, Claude, etc.):

*   Manage Databricks Clusters: List, create, terminate, start, and get details about your clusters.

*   Control Databricks Jobs: List your jobs and run them directly.

*  Interact with Notebooks: List notebooks within workspace directories and export them.

*   Work with Files: List files and directories in DBFS paths.

*   Execute SQL: Run SQL statements directly on your Databricks SQL warehouses or clusters.

It implements the Model Completion Protocol (MCP) to expose these Databricks functionalities as tools for LLM agents.