dbt MCP Server

Databasestdiov0.5.0
Repositorio

Official dbt Labs MCP server for analytics engineering workflows. Lets AI agents run dbt commands (build, run, test), inspect models and lineage via the dbt project, and query the Semantic Layer and Discovery API in dbt Cloud. Useful for transforming data, validating models, and answering metric questions grounded in governed definitions.

Conectar

Añade esta configuración a .claude/mcp.json

{
  "mcpServers": {
    "dbt": {
      "command": "uvx",
      "args": [
        "dbt-mcp"
      ],
      "env": {
        "DBT_HOST": "<YOUR_DBT_HOST>",
        "DBT_TOKEN": "<YOUR_DBT_TOKEN>",
        "DBT_PROJECT_DIR": "<YOUR_DBT_PROJECT_DIR>"
      }
    }
  }
}

Herramientas (2)

run_models

Run dbt models with optional selectors and return execution results.

{
  "type": "object",
  "properties": {
    "select": {
      "type": "string",
      "description": "dbt node selection syntax (e.g., a model or tag)"
    }
  }
}

query_metrics

Query the dbt Semantic Layer for governed metrics and dimensions.

{
  "type": "object",
  "required": [
    "metrics"
  ],
  "properties": {
    "metrics": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "Metric names to query"
    },
    "group_by": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "Dimensions to group by"
    }
  }
}

Recursos

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Prompts

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Información del servidor

Autor
dbt Labs (@dbt-labs)
Repositorio
https://github.com/dbt-labs/dbt-mcp
Licencia
Apache-2.0
Versión
0.5.0
Estrellas
640
Última actualización
9 de julio de 2026