Databricks MCP Server provides a bridge between LLMs and Databricks environments, enabling natural language interaction with SQL warehouses and job management systems. The implementation offers tools to run SQL queries, list jobs, check job statuses, and retrieve detailed job information through a FastAPI-based MCP server that connects to the Databricks SQL connector and REST API. It handles authentication via personal access tokens stored in environment variables and formats query results as markdown tables, making it particularly valuable for data analysts and engineers who need to interact with their Databricks workspaces through conversational AI interfaces.
Execute SQL queries on your Databricks SQL warehouse. Parameters: sql (string)
List all Databricks jobs in your workspace.
Get the status of a specific Databricks job by ID. Parameters: job_id (int)
Get detailed information about a specific Databricks job. Parameters: job_id (int)
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