dbt-labs/dbt-mcp

A MCP (Model Context Protocol) server for interacting with dbt.

85
/ 100
Verified

Exposes dbt project metadata and operations through 40+ tools across Discovery API, Semantic Layer, SQL execution, and dbt CLI capabilities—enabling AI agents to query lineage, model details, metrics, and trigger jobs. Connects to dbt Core, Fusion, and Platform environments, supporting both local manifest inspection and cloud-based operations with optional column-level lineage analysis via the Fusion engine.

506 stars and 68,677 monthly downloads. Actively maintained with 45 commits in the last 30 days. Available on PyPI.

Maintenance 23 / 25
Adoption 20 / 25
Maturity 18 / 25
Community 24 / 25

How are scores calculated?

Stars

506

Forks

107

Language

Python

License

Apache-2.0

Last pushed

Mar 11, 2026

Monthly downloads

68,677

Commits (30d)

45

Dependencies

14

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