Databricks MCP Server provides a bridge between AI assistants and Databricks services through a standardized interface. It enables interaction with Databricks clusters, jobs, notebooks, DBFS, and SQL workspaces via tools that wrap the Databricks REST API. The server follows the stdio transport protocol, making it compatible with Claude Desktop integration, and includes comprehensive error handling and logging. Particularly valuable for data scientists and engineers who need to manage Databricks resources, execute queries, or automate workflows without leaving their conversation interface.
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List all Databricks clusters.
Create a new Databricks cluster.
Terminate a Databricks cluster.
Get information about a specific Databricks cluster.
Start a terminated Databricks cluster.
List all Databricks jobs.
Run a Databricks job.
List notebooks in a workspace directory.
Export a notebook from the workspace.
List files and directories in a DBFS path.
Execute a SQL statement.
