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Unity Catalog MCP Server enables querying and governance of Databricks data assets via MCP protocol. Features SQL-based CRUD and discovery across catalogs and tables. Enables AI agent data retrieval in governed environments, unlike direct SDKs which lack MCP compatibility.

A server that connects to the Databricks Genie, allowing LLMs to ask natural language questions, run SQL queries, and interact with Databricks conversational agents.

Allows LLMs to run SQL queries, list and get details of jobs executions in a Databricks account for data engineering and analytics.

Leveraging Databricks Unity Catalog metadata to perform smart efficient SQL queries that solve Ad-hoc queries and explore data.

An OAuth-enabled MCP Server for Databricks using a Service Principal, allowing secure authenticated access from MCP tools to Databricks resources.

A Model Context Protocol (MCP) server for executing SQL queries against Databricks using the Statement Execution API. Enables AI assistants to directly query Databricks data warehouses, analyze schemas, and retrieve structured results.

Databricks, via its Mosaic framework, provides MCP server capabilities that connect Delta Lake and ML pipelines to LLMs, focusing on enterprise-scale context delivery and AI-ready data preparation.