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Explore Databricks metadata, run SQL, and analyze lineage for data discovery.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Databricks MCP Server" yet — see the docs or source repo.
Browse the Databricks Unity Catalog and list catalogs, schemas, and tables related to sales analytics, with a brief description of each table's purpose.
A list of relevant data assets with brief table descriptions for selecting datasets for analysis.
Using the orders and customers tables in Unity Catalog, generate SQL to calculate sales, order count, and average order value by region for the last 90 days, then run the query.
Executable SQL plus summarized query results ready for business analysis or reporting.
Analyze the data lineage of the customer_ltv metric table, including upstream tables, notebooks, and jobs, and identify the key transformation steps.
A clear lineage summary showing data sources, processing flow, and dependency chains.
Search and explore Databricks AWS documentation with semantic search tools.
Manage Databricks clusters, jobs, SQL, and catalogs through MCP tools.
Safely explore, profile, and query data with read-only SQL over MCP.
Search enterprise data, trace lineage, and generate usable SQL queries.
Safely let AI query SQL databases read-only for schema discovery and analysis.
Run, test, and deploy code on Databricks clusters using natural language.