How the dbt MCP Server connects AI agents to governed data

"dbt MCP is a way to provide structured and governed context to your AI agents. It allows local and remote access to all the things within dbt that can govern and guide AI to provide great answers for any business questions you might have." — Devon Fulcher, Senior Software Engineer II, AI at dbt Labs Devon explains how the Model Context Protocol (MCP) and the dbt MCP server are transforming how AI agents access and use trusted data. Why the dbt MCP server matters: ✅ Standardized, vendor-neutral protocol for AI agent access ✅ Provides structured and governed context to AI systems ✅ Access to rich dbt metadata: column descriptions, model descriptions, health signals ✅ Column-level lineage for complete data understanding ✅ Helps AI provide answers business users can rely on ✅ Built on open standards that dbt Labs values The impact on analytics engineering: AI agents are changing the landscape for how analytics engineers work. MCP amplifies productivity, delivers business impact, and provides accurate answers to everyone from data engineers to business analysts. "MCP is going through its moment right now. It's a way for us to provide access to the rich context in dbt to many different types of agents and platforms. MCP is an awesome protocol and I encourage everyone to try it out." Connect your AI agents to governed data. Learn more about the dbt MCP server: https://docs.getdbt.com/blog/introducing-dbt-mcp-server #dbtMCP #MCP #AIagents #dbt #analyticsEngineering #governedData #ModelContextProtocol