RafaelCartenet/mcp-databricks-server
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.
Implements MCP protocol with stdio transport to expose Databricks SQL execution and UC metadata as LLM-callable tools in Markdown format, enabling agents to iteratively explore catalogs, analyze code-level lineage (notebooks/jobs), and construct queries without human intervention. Integrates with Claude, Cursor, and other MCP-compatible AI frameworks via standardized tool calling. Leverages UC descriptions and column-level documentation to reduce query ambiguity while supporting long-running query management and Terraform-based metadata-as-code workflows.
Stars
36
Forks
20
Language
Python
License
MIT
Category
Last pushed
Jan 27, 2026
Commits (30d)
0
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