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Access Databricks workspace data, jobs, and metadata through LLMs.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Databricks Unity Catalog MCP Server" yet — see the docs or source repo.
Connect to Databricks Unity Catalog and inspect the catalog.schema.sales_orders table. List its columns, data types, partition info, and summarize what each field means.
A table schema summary with column types, partition details, and plain-language field explanations.
List failed jobs in the Databricks workspace from the last 7 days, sort them by failure count, and include the latest failure time and relevant metadata for each job.
A ranked list of failed jobs with latest failure timestamps and key job metadata.
Search Unity Catalog for tables and views with names containing customer or churn, group them by schema, and return descriptions, owners, and last updated times.
A schema-grouped list of matching assets including descriptions, owners, and last updated times.
Explore Databricks metadata, run SQL, and analyze lineage for data discovery.
Manage Unity Catalog assets and run SQL queries in Databricks.
Manage Databricks clusters, jobs, SQL, and catalogs through MCP tools.
Connect AI to databases for queries, schema management, and data export.
Securely access SQL Server databases in read-only mode for querying and analysis.
Ask data questions, run SQL, and chat with Databricks Genie agents.