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MCP ConfigsMay 11, 2026·2 min de lecture

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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MCP Hub · Community
Prêt pour agents

Cet actif peut être lu et installé directement par les agents

TokRepo expose une commande CLI universelle, un contrat d'installation, le metadata JSON, un plan selon l'adaptateur et le contenu raw pour aider les agents à juger l'adaptation, le risque et les prochaines actions.

Stage only · 29/100Stage only
Surface agent
Tout agent MCP/CLI
Type
Mcp Config
Installation
Single
Confiance
Confiance : Established
Point d'entrée
README.md
Commande CLI universelle
npx tokrepo install 19b431b4-ebdf-47fa-a358-88320283eb55
contrat d'installationJSON metadataplan adaptateurcontenu raw
Introduction

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 et remerciements

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

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