Bring Data Lake
to AutoGen

Integrate the powerful federated data analytics capabilities of Starburst directly into your conversational AI workflows. Empower your data engineering and analytics teams to query extensive data lakes, manage organizational roles, and explore detailed schemas without needing to explicitly switch between database clients. Securely map your AI assistant to your Starburst host, enabling natural language orchestration of complex Trino-based data products to accelerate data discovery and governance across your entire enterprise architecture.

What you can do

• Federated Query Execution — Pass complex SQL statements programmatically against your connected data sources utilizing execute_query, receiving structured analytic returns directly.
• Schema & Catalog Discovery — Actively map your data landscape by inspecting linked databases invoking list_catalogs, and drill down into specific table hierarchies using list_schemas.
• Data Product Management — Manage and retrieve existing analytical data products across the Starburst network systematically validating data definitions using list_data_products.
• Governance & Role Administration — Inspect access control limitations securely by navigating role assignments formally deploying requests through list_roles and evaluating privilege thresholds.

How it works

1. Install the Starburst MCP connector, binding it inherently to your active LLM assistant.
2. In the MCP configurations, provide your STARBURST_HOST and your STARBURST_TOKEN to securely establish a persistent communication session.
3. Instruct the AI: "Execute a query listing the top 10 rows from the 'customer_analytics' table located in our 'production_hive' catalog, and summarize the data."

Who is this for?

• Data Engineers — Radically streamline data auditing by parsing schemas, managing catalogs, and iterating over queries utilizing an intuitive conversational interface.
• Data Analysts — Explore massive federated datasets without writing rigorous boilerplate connection scripts, leveraging AI to construct and execute complex SQL instantly.
• Data Governance Managers — Maintain strict oversight of access limitations continuously verifying role assignments and auditing internal data products natively.