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Dbt Cli MCP Server

A Model Context Protocol (MCP) server that wraps the dbt CLI tool, enabling AI coding agents to interact with dbt projects through standardized MCP

Local serverstdioPython

What is the Dbt Cli MCP Server?

Dbt Cli MCP connects Dbt Cli MCP to AI assistants that speak the Model Context Protocol. A Model Context Protocol (MCP) server that wraps the dbt CLI tool, enabling AI coding agents to interact with dbt projects through standardized MCP tools.

What Dbt Cli MCP does

A Model Context Protocol (MCP) server that wraps the dbt CLI tool, enabling AI coding agents to interact with dbt projects through standardized MCP tools.

Key capabilities

  • Execute dbt commands through MCP tools
  • Support for all major dbt operations (run, test, compile, etc.)
  • Command-line interface for direct interaction
  • Environment variable management for dbt projects
  • Configurable dbt executable path
  • Flexible profiles.yml location configuration

Requirements

  • Python 3.10 or higher - uv tool for Python environment management - dbt CLI installed

Practical notes

  • Maintained by MammothGrowth, written in Python.

More MCP options

Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.

Maintainer setup documentation.

Recorded tools

Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.

ToolWhat it does
dbt_runRun dbt models (requires absolute project_dir)
dbt_testRun dbt tests (requires absolute project_dir)
dbt_lsList dbt resources (requires absolute project_dir)
dbt_compileCompile dbt models (requires absolute project_dir)
dbt_debugDebug dbt project setup (requires absolute project_dir)
dbt_depsInstall dbt package dependencies (requires absolute project_dir)
dbt_seedLoad CSV files as seed data (requires absolute project_dir)
dbt_showPreview model results (requires absolute project_dir)

Configuration

  • Python 3.10 or higher - uv tool for Python environment management - dbt CLI installed
VariableDescriptionRequired
DBT_PATHFilesystem location the server is allowed to use.Optional
ENV_FILEConfiguration value read at startup.Optional

Example prompts to try

  • “Use Dbt Cli MCP to dbt run.”
  • “Use Dbt Cli MCP to dbt test.”
  • “Use Dbt Cli MCP to dbt ls.”

Frequently asked questions

A Model Context Protocol (MCP) server that wraps the dbt CLI tool, enabling AI coding agents to interact with dbt projects through standardized MCP tools. Confirm the tools offered by your installed version in the connected client. Tool availability and permissions depend on the server and account configuration.

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