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Query Databricks datasets in natural language and answer business questions without SQL.
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.
Using the sales dataset in Databricks, analyze monthly revenue changes over the past 12 months, identify the fastest-growth and steepest-decline months, and summarize likely reasons in bullet points.
A monthly sales trend analysis, key outlier months, and business-friendly written conclusions.
Compare conversion rate, average order value, and repeat purchase rate across customer segments in the Databricks dataset, and identify the top-performing segment and its traits.
A comparison of segment metrics, the best-performing segment, and a concise insight summary for operations decisions.
Review the Databricks inventory data, find products with abnormal inventory fluctuations in the last 30 days, explain possible causes, and rank them by risk level.
A list of anomalous products, the basis for each anomaly, possible causes, and prioritized action recommendations.
Explore Databricks metadata, run SQL, and analyze lineage for data discovery.
Semantically search Databricks docs, APIs, Terraform references, and knowledge base content.
Connect LLM apps to query and manage multiple databases through one tool.
Connect AI to MySQL for safe querying, SQL execution, and database management.
Connect to SQL Server to query data, inspect schema, and analyze performance.
Enable AI to safely analyze business metrics without improvising raw SQL.