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MCP ConfigsMay 11, 2026·2 min de lectura

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.

Listo para agents

Este activo puede ser leído e instalado directamente por agents

TokRepo expone un comando CLI universal, contrato de instalación, metadata JSON, plan según adaptador y contenido raw para que los agents evalúen compatibilidad, riesgo y próximos pasos.

Stage only · 29/100Stage only
Superficie agent
Cualquier agent MCP/CLI
Tipo
Mcp Config
Instalación
Single
Confianza
Confianza: Established
Entrada
README.md
Comando CLI universal
npx tokrepo install 19b431b4-ebdf-47fa-a358-88320283eb55
Introducción

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.

🙏

Fuente y agradecimientos

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

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