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Model Context Protocol (MCP) server for Databricks that empowers AI agents to autonomously interact with Unity Catalog metadata. Enables data discovery, lineage analysis, and intelligent SQL execution. Agents explore catalogs/schemas/tables, understand relationships, discover notebooks/jobs, and execute queries - greatly reducing ad-hoc query time.
This project exemplifies a robust Azure streaming data solution tailored for fitness data analysis, leveraging Azure's powerful ecosystem to deliver actionable insights and drive informed decisions in health and wellness management.