MammothGrowth/dbt-cli-mcp
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.
{
"mcpServers": {
"dbt": {
"command": "uv",
"args": [
"--directory",
"/path/to/dbt-cli-mcp",
"run",
"src/server.py"
],
"env": {
"DBT_PATH": "<DBT_PATH>",
"ENV_FILE": "<ENV_FILE>"
}
}
}
}DBT_PATHENV_FILEExecute 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
dbt_run
Run dbt models (requires absolute project_dir)
dbt_test
Run dbt tests (requires absolute project_dir)
dbt_compile
Compile dbt models (requires absolute project_dir)
dbt_debug
Debug dbt project setup (requires absolute project_dir)
dbt_deps
Install dbt package dependencies (requires absolute project_dir)
dbt_seed
Load CSV files as seed data (requires absolute project_dir)
dbt_show
Preview model results (requires absolute project_dir) { "models": "customers", "project_dir": "/path/to/dbt/project", "limit": 10 } </use_mcp_tool>
Details on this page are taken from the project's README. Open README
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