MCP ConfigsMay 11, 2026·2 min read

dbt-mcp — dbt Context MCP Server for Agents

Give AI agents structured access to dbt project context and tools (SQL, semantic layer, docs search). Ships an experimental MCP bundle in releases.

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Agent ready

Safe staging for this asset

This asset is staged first. The copied prompt tells the agent to inspect the staged files and ask before activating scripts, MCP config, or global config.

Stage only · 17/100Policy: stage
Agent surface
Any MCP/CLI agent
Kind
Mcp Config
Install
Stage only
Trust
Trust: Established
Entrypoint
Asset
Safe staging command
npx -y tokrepo@latest install 19b431b4-ebdf-47fa-a358-88320283eb55 --target codex

Stages files first; activation requires review of the staged README and plan.

Intro

Give AI agents structured access to dbt project context and tools (SQL, semantic layer, docs search). Ships an experimental MCP bundle in releases.

  • Best for: Analytics engineering teams who want an agent to answer dbt questions with real project context, not guesswork
  • Works with: dbt Core/Fusion/Platform workflows + MCP clients (per dbt docs)
  • Setup time: 15 minutes

How to Use It Well

  • Setup time ~15 minutes (download bundle + wire credentials + connect)
  • GitHub stars + forks (verified): see Source & Thanks
  • Tools span SQL, semantic layer queries, and docs search (see README tool list)

When agents answer data questions, the failure mode is hallucinating models, columns, or semantics. dbt-mcp is a way to ground answers in your dbt project artifacts and (optionally) your dbt platform APIs—so the agent can cite real entities.

FAQ

Q: Is it read-only? A: It includes both read-only context tools and CLI-like operations. Start with read-only and expand intentionally.

Q: Do I need dbt Cloud/Platform? A: The README mentions supporting multiple dbt environments; confirm which mode you run and configure accordingly.

Q: How do I keep it safe? A: Use least-privilege credentials, separate dev/prod targets, and require human confirmation for any write-like operation.

🙏

Source & Thanks

Source: https://github.com/dbt-labs/dbt-mcp > License: Apache-2.0 > GitHub stars: 559 · forks: 117

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