dbt-doctor MCP Server
Astoriel/dbt-doctor
[](https://agentrank-ai.com/tool/Astoriel--dbt-doctor/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge) 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.
claude mcp add agentrank -- npx -y agentrank-mcp-server Overview
Astoriel/dbt-doctor is a Python MCP server licensed under MIT. 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. Topics: audit, dbt-packages, mcp-server.
Ranked #24778 out of 24846 indexed tools.
Ecosystem
Score Breakdown
124 stars → growing community
Last commit 1mo ago → recently updated
0/6 issues closed → many open issues
2 contributors → solo project
No dependents → no downstream usage
1 weekly installs → early adoption
Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →
How to Improve
Matched Queries
From the README
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<p><strong>AI-driven quality and governance MCP Server for dbt projects.</strong></p>
<p>Audit coverage, profile data, detect schema drift, and auto-generate documentation—all through natural language with an AI assistant.</p>
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<a href="https://github.com/Astoriel/dbt-doctor/actions/workflows/ci.yml">
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<a href="https://pypi.org/project/dbt-doctor/">
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<a href="https://python.org">
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<a href="LICENSE">
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## Project status
Active alpha. Snapshot date: 2025-12-25. See [STATUS.md](STATUS.md) and [KNOWN_LIMITATIONS.md](KNOWN_LIMITATIONS.md) for what is working today, what is planned, and what is not claimed.
## What is dbt-doctor?
dbt-doctor is a Model Context Protocol (MCP) server that provides your AI coding assistant with deep context regarding your dbt project's health. Instead of manually running CLI commands and analyzing outputs, you can interact with your AI:
- "What Read full README on GitHub → Get the weekly AgentRank digest
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