The rise of agentic AI systems presents a new paradigm for business intelligence, shifting from human-driven dashboards to AI-driven, conversational data exploration. However, a critical challenge remains: how can we securely and reliably connect Large Language Models (LLMs) to the curated, governed data locked within enterprise BI platforms?

This session introduces the Looker MCP Server, a new service designed to bridge this exact gap. Built upon the robust foundation of the MCP Toolbox for Databases, the Looker MCP Server exposes Looker's powerful semantic model as a stable, easy-to-use set of tools for AI agents. By providing a secure and scalable API, it empowers developers to build a new class of "Agentic BI" applications that can independently query data, analyze trends, and deliver insights, all while inheriting Looker's existing governance and data permissions.

This talk is for AI developers, data platform owners, and BI practitioners who are looking to leverage their existing investment in Looker to build the next generation of data-driven AI applications. Attendees will leave with a clear understanding of how to use the Looker MCP Server to safely unlock their enterprise data for agentic AI systems.