Build reliable AI agents with the dbt MCP server
AI agents are evolving beyond chat, but too many still rely on raw data without the context needed for safe, scalable automation. Without structure and governance, agents hallucinate, workflows break, and trust erodes. dbt and the dbt MCP server solve this by making trusted data models accessible to intelligent systems.
Join dbt Labs and Indicium for a live session on how teams are building reliable production-grade AI agents, grounded in governed, structured context. You’ll learn how dbt and the new dbt Model Context Protocol (MCP) server are powering intelligent workflows that are reliable, secure, and scalable by design.
This is the third episode in our 2025 dbt Launch Showcase series—spotlighting the foundations of the new analytics and AI ecosystem. In this session, we’ll share how Indicium is using large language models, knowledge graphs, and the dbt MCP server to build a migration agent that cuts legacy-to-dbt timelines by up to 90%.
- A clear understanding of why AI agents need more than just access to raw data
- How the dbt MCP server adds lineage, logic, and governance, so agents can act with confidence
- A behind-the-scenes look at Indicium’s agent that automates and validates dbt migrations at scale
- Inspiration for building your own intelligent agents and automated workflows
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