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dbt MCP Server Office Hours — Integrating AI and dbt
On-Demand

dbt MCP Server Office Hours — Integrating AI and dbt

Join us for an interactive dbt Community Webinar, where we explore the powerful emerging paradigm shaping AI-agentic workflows: the dbt Model Context Protocol (MCP) Server.

This is your chance to dive deep, share hands-on experiences, ask questions, and provide feedback as we collectively shape the future of AI-driven data workflows within the dbt ecosystem.

What is the dbt MCP Server?
The dbt MCP Server implements the Model Context Protocol, enabling AI systems—such as language models and autonomous agents—to access trusted, structured context from your dbt projects: models, metrics, lineage, and compute operations.

With MCP, AI agents can:

  • Discover data assets: Query your model definitions, lineage, and metadata for full visibility into your data landscape .
  • Access governed metrics: Leverage dbt’s Semantic Layer to retrieve trusted metrics (e.g., monthly revenue) directly aligned with your organizational truth .
  • Improve day to day tasks: Get run results from your dbt jobs, trigger a job from your development environment
  • Trigger dbt development operations: Execute CLI tasks—run, test, compile, build—via conversational or agentic workflows .

Why Participate?

  • Shape the future: Provide input on how the dbt MCP server should evolve, helping build a safer, smarter standard for AI-data integration.
  • Solve common challenges: Discuss and share strategies overcoming issues around deployment, governance, permissions, and tooling maturity .
  • Real-world use cases: Learn what’s possible—from self-service analytics and conversational data exploration, to agent-powered migration workflows that reduce migration timelines.

Session Format

  • Live Q&A: Bring your questions—whether technical, strategic, or visionary.
  • Use‑case highlight: We’ll step through live examples and workflows showcasing discovery, semantic querying, and project execution.
  • Open discussion: Share your current or potential use cases, hear from others in the community, and help shape the MCP roadmap.

Discussion Points:

  • Setting up and deploying the local vs. remote MCP Server .
  • Integrations with clients like Cursor, Claude Desktop, VS Code, and other AI tools .
  • Building AI agents that can understand, query, and act upon your dbt context with confidence and consistency .

Let’s co-create a space where human expertise meets AI, powered by transparent metrics, lineage awareness, and conversation with your data.

Whether you’re a seasoned dbt user and are using agentic workflows on a daily basis, or you are learning about the dbt MCP server for the first time—this is your invitation to shape the future of intelligent, trustworthy data systems.

  • 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

Meet our host:

Benoit Perigaud, Staff Developer Experience Advocate, dbt Labs