dbt-mcp and dbt-doctor
These are complementary tools: dbt-mcp provides the foundational protocol server for programmatic dbt interaction, while dbt-doctor adds AI-driven governance and quality checks as a specialized layer that can run alongside or through the base dbt-mcp interface.
About dbt-mcp
dbt-labs/dbt-mcp
A MCP (Model Context Protocol) server for interacting with dbt.
This server helps data professionals interact with their dbt projects using AI agents. It takes natural language queries or commands and translates them into actions or information from your dbt Core, dbt Fusion, or dbt Platform environment. Data analysts, data engineers, or analytics engineers can use this to automate data modeling tasks, query metrics, or manage dbt jobs through conversational interfaces.
About dbt-doctor
Astoriel/dbt-doctor
AI-driven quality & governance MCP Server for dbt projects. Audit coverage, profile data, detect schema drift, and auto-generate documentation — all through natural language with your AI assistant.
This project helps data engineers and analytics engineers manage the quality and documentation of their dbt projects using an AI assistant. It takes your existing dbt project and data warehouse as input, allowing you to ask questions in natural language. The output includes project health scores, data profiles, schema drift alerts, and automatically generated documentation and tests written back into your schema.yml files.
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