Delivering reliable AI with the dbt Semantic Layer and dbt MCP Server

As teams race to adopt LLMs and agents, many discover the same challenge: AI systems can’t perform well without structured, governed, and consistent context. Critical knowledge—from metrics and definitions to policies, data relationships, and operational rules—often lives in dashboards, documentation, or scattered SQL. Without a shared, authoritative layer of meaning, AI outputs become unreliable and leads to hallucinations, inconsistent answers, and costly rework.

In this virtual event, experts from dbt Labs and phData will walk through how the dbt Semantic Layer and dbt MCP Server combine to deliver the reliable context AI systems require. You’ll see how the dbt Semantic Layer centralizes and standardizes meaning—and how the dbt MCP Server extends that context directly to AI tools, enabling them to safely discover, query, and reason over trusted, governed data.

Meet the speakers

Dustin Dorsey

Data Engineering Director

phData

Dakota Kelley

Principal Solutions Architect

phData

Stephen Robb

Partner Solutions Architect

dbt Labs

Host partner