Starburst AI Agent + MCP in Galaxy: Conversational Access to All Your Data

AI agents only deliver value when they can access real, production data without friction. In this session, you’ll see how Starburst Galaxy is designed to be the fastest way to operationalize data for AI agents, letting teams skip the BI layer and access all their data directly through conversational and agentic interfaces. 

We’ll show how Starburst Galaxy’s AI Agent and built-in MCP Server make it easy to connect tools like Claude and ChatGPT Enterprise to governed data products without building custom APIs or managing additional infrastructure.

Through live demos and real agent workflows running on Apache Iceberg tables in Galaxy, you’ll see how conversational analytics and agent-driven queries operate on production data while using the same Galaxy access controls and observability that data teams already rely on.

What you’ll see:

• Connecting external AI agents to Galaxy using the MCP-compliant Starburst MCP Server
• Running conversational analytics with the Starburst AI Agent on governed Iceberg data
• Exposing Starburst Data Products as the interface layer for humans and AI agents
• Scaling AI access on Galaxy using a govern once, apply everywhere model with unified RBAC and ABAC policies, encryption by default, and end-to-end query auditability

Join us to see how cloud-native data teams can move beyond disconnected AI experiments and start delivering real ROI from AI using the data they already manage in Galaxy..

Can’t attend live? Register anyway to get the webinar recording after the webinar concludes.