d

dbt

Official
Server spec
Install
See source repository
Transport
http
Auth
Not publicly specified
Language
Not publicly specified
Tools exposed
6
Official
Yes

The dbt MCP server is an official implementation by dbt-labs designed to provide programmatic access to dbt projects. It serves as a bridge between AI agents and dbt’s data transformation capabilities, enabling metadata discovery and semantic layer querying. This server is particularly useful for teams already using dbt who want to automate workflows or integrate dbt with other systems. The MCP protocol allows standardized interaction with dbt’s features, making it easier to build tools around dbt projects. Developers working with data transformation pipelines would primarily use this server to extend dbt’s functionality programmatically.

Tools exposed

discover_project_metadataretrieve_model_informationquery_semantic_layerexecute_dbt_commandsvalidate_dbt_modelsmonitor_dbt_runs

Resources

dbt modelsproject metadatasemantic layer queries

Requirements

  • dbt Core/Cloud CLI
  • Access to a dbt project

Use cases

Automating dbt model validation and testingIntegrating dbt metadata with other data toolsQuerying the semantic layer for analyticsMonitoring dbt project execution programmaticallyBuilding custom dashboards for dbt project insights

Pros & cons

Pros

  • Official support from dbt-labs ensures reliability
  • Provides deep integration with dbt Core/Cloud CLI
  • Enables programmatic access to dbt's semantic layer

Cons

  • Requires familiarity with dbt Core/Cloud CLI
  • Limited to dbt-specific functionalities
  • Documentation may assume prior dbt knowledge

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