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dbt-mcp
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dbt-mcp

Active·★ 612·Apache-2.0·Updated 2026-10-21

The dbt MCP server provides tools for AI agents to interact with dbt projects, including SQL execution, semantic layer queries, lineage discovery, dbt CLI operations, and Admin API management. It supports dbt Core, dbt Fusion, and dbt Platform. The server includes tools for generating documentation, linting, and accessing product docs.

dbt-mcp sits in the Dev Tooling category, so it is usually better judged by workflow fit, deployment style, and team needs than by isolated features alone. Based on the available metadata, it leans most clearly toward SQL execution and natural language to SQL conversion.. A representative use case is Enable AI agents to explore and analyze dbt project metadata.. The listed license is Apache-2.0. GitHub stars are currently 612. Relevant tags include data-analytics, data-engineering.

This write-up is based on the project's README and public repository data. We have not hand-tested the tool.

#data-analytics#data-engineering#dbt#llm#mcp#mcp-server#mcp-servers#model-context-protocol
$ Install
$ git clone https://github.com/dbt-labs/dbt-mcp.git
↗ Visit site★ GitHub
01

Features

01SQL execution and natural language to SQL conversion.
02Semantic Layer integration for metrics and dimensions.
03Discovery tools for models, sources, macros, and lineage.
04dbt CLI commands (build, compile, run, test, etc.).
05Admin API for job management and project details.
02

Why choose it

+SQL execution and natural language to SQL conversion.
+Semantic Layer integration for metrics and dimensions.
+Enable AI agents to explore and analyze dbt project metadata.
+Supports 3 platforms or runtime environments.
03

Trade-offs

!The final decision should still be made through side-by-side comparison with similar tools.
04

Compatibility

dbt Core
dbt Core
Verified via docs
dbt Fusion
dbt Fusion
Verified via docs
dbt Platform
dbt Platform
Verified via docs
05

Quick start

1
$ git clone https://github.com/dbt-labs/dbt-mcp.git
06

Use cases

↳Enable AI agents to explore and analyze dbt project metadata.
↳Automate dbt workflows such as model execution and testing.
↳Integrate with chatbots or coding assistants for data engineering tasks.
07

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On this page
01Features02Why choose it03Trade-offs04Compatibility05Quick start06Use cases07Alternatives
dbt-labs /
dbt-mcp
↗

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

612Apache-2.0
Last commit1d ago
StatusActive
CategoryDev Tooling
Links
Documentation↗Discussion↗Issues↗Releases↗
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