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by JordiNeil • Analytics & Monitoring
An MCP server that connects to the Databricks API so LLMs can run SQL queries and manage Databricks jobs programmatically.
Run ad-hoc SQL queries on Databricks SQL warehouses and return results for analysis or summarization.
List and enumerate Databricks jobs in a workspace to provide job overviews or automate job selection.
Check the status or retrieve detailed metadata of specific Databricks jobs for monitoring and troubleshooting.
This server implements MCP tools to run SQL queries against Databricks SQL warehouses, list jobs, and fetch job status and details. It uses a Databricks host, personal access token, and SQL warehouse HTTP path to authenticate and execute operations. The project provides a simple local MCP endpoint for integrating Databricks operations into LLM-based agents and includes setup and security guidance.
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