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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Highlight AIList 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
