# 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.

- **Type:** MCP server
- **Install:** `agentstack add mcp-astoriel-dbt-doctor`
- **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior
- **Seller:** [Astoriel](https://agentstack.voostack.com/s/astoriel)
- **Installs:** 0
- **Category:** [Integrations](https://agentstack.voostack.com/c/integrations)
- **Latest version:** 0.1.0
- **License:** MIT
- **Upstream author:** [Astoriel](https://github.com/Astoriel)
- **Source:** https://github.com/Astoriel/dbt-doctor
- **Website:** http://github.astoriel.tech/dbt-doctor/

## Install

```sh
agentstack add mcp-astoriel-dbt-doctor
```

Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent.

## About

AI-driven quality and governance MCP Server for dbt projects.
  Audit coverage, profile data, detect schema drift, and auto-generate documentation—all through natural language with an AI assistant.

  
    
  
  
    
  
  
    
  
  
    
  

---

## 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's the overall health of my dbt project?"
- "Profile the fct_orders model and suggest appropriate tests."
- "Auto-document the models that have the lowest test coverage."

The tool handles the heavy operations—reading the manifest, profiling your data warehouse, detecting schema drift, and writing back to schema.yml files—without requiring you to leave the chat.

Note: This tool is designed to complement the official dbt-labs/dbt-mcp. While dbt-labs/dbt-mcp focuses on running dbt commands, dbt-doctor focuses on auditing, profiling, and documentation.

## Key Features

### Project Auditing
Evaluate your project with a 0–100% score based on documentation, testing, and naming conventions. Access a ranked list of models lacking coverage to prioritize your efforts.

### Data Profiling  
Perform efficient single-pass column statistics—including NULL rates, cardinality, min/max values, and uniqueness—using one batched SQL query per table to avoid slow row-by-row scanning.

### Schema Drift Detection
Compare the current state of your data warehouse against the definitions in your `manifest.json`. Instantly identify added, removed, or type-changed columns.

### Intelligent Test Suggestions
Translate profiling statistics into actionable dbt test recommendations. For example, a uniquely populated column without nulls will prompt suggestions for `not_null` and `unique` tests, while low cardinality will suggest `accepted_values` with predefined options.

### Non-Destructive YAML Writing
Update `schema.yml` files using `ruamel.yaml` to retain hand-written comments, existing tests, and formatting. The tool only appends missing information and preserves your manual configurations.

### End-to-End Documentation Generation
Execute a complete workflow in a single conversational turn: profile a model, suggest tests, preview changes, and write to schema.yml.

---

## Included MCP Tools

| Category | Tool | Description |
|---|---|---|
| Context | `list_models` | Overview of all models and their coverage status |
| Context | `get_model_details` | Detailed model information including SQL, columns, lineage, and tests |
| Audit | `audit_project` | Project health score and naming convention violations |
| Audit | `check_test_coverage` | Models ranked by their test coverage percentage |
| Audit | `analyze_dag` | Detection of orphan models and high fan-out nodes |
| Audit | `get_project_health` | Single-call dashboard summarizing project status |
| Profiling | `profile_model` | Batched column statistics |
| Profiling | `execute_query` | Read-only SQL execution against your warehouse |
| Profiling | `detect_schema_drift` | Comparison of database columns against manifest definitions |
| Generation | `suggest_tests` | Translation of profile data into dbt test recommendations |
| Generation | `update_model_yaml` | Safe merging of documentation and tests to schema.yml |
| Generation | `generate_model_docs` | Complete end-to-end documentation workflow |

---

## Quick Start

### Installation

```bash
pip install dbt-doctor
```

### Configuration (Claude Desktop)

Add the following to your `claude_desktop_config.json`:

```json
{
  "mcpServers": {
    "dbt-doctor": {
      "command": "dbt-doctor",
      "args": ["--project-dir", "/absolute/path/to/your/dbt/project"]
    }
  }
}
```

### Configuration (Cursor)

Add the following to your `.cursor/mcp.json`:

```json
{
  "mcpServers": {
    "dbt-doctor": {
      "command": "dbt-doctor",
      "args": ["--project-dir", "/absolute/path/to/your/dbt/project"]
    }
  }
}
```

*Prerequisite: Run `dbt compile` prior to usage to ensure `target/manifest.json` is available for dbt-doctor to parse.*

---

## Architecture

The application connects the AI Assistant with your dbt project and database through the MCP protocol. It features a read-only analysis layer combined with a secure generation toolkit that merges changes seamlessly into your existing YAML schemas.

---

## Security Design

- **Read-only execution:** All `execute_query` operations operate within a read-only transaction. Write processes are restricted at the database connector level.
- **SQL validation:** Table and column identifiers are strictly validated against a whitelist to prevent injection.
- **Stateless connections:** Data warehouse credentials are instantiated per connection and are never cached in memory.
- **Preview before commit:** The document generation process provides a difference preview prior to rewriting `schema.yml`, ensuring you retain control over modifications.

---

## Related Projects

| Project | Description |
|---|---|
| dbt-labs/dbt-mcp | Official MCP focused on dbt command execution |
| dbt-coverage | CLI tool for coverage reporting without AI integration |
| dbt-project-evaluator | dbt package for project evaluation, requiring installation per project |

dbt-doctor uniquely consolidates auditing, profiling, drift detection, and AI-driven YAML updates into a single server interface.

---

## License

MIT — see the [LICENSE](LICENSE) file.

## Source & license

This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.

- **Author:** [Astoriel](https://github.com/Astoriel)
- **Source:** [Astoriel/dbt-doctor](https://github.com/Astoriel/dbt-doctor)
- **License:** MIT
- **Homepage:** http://github.astoriel.tech/dbt-doctor/

Install and usage instructions live in the source repository linked above.

## Pricing

- **Free** — Free

## Security capabilities

Automated source analysis of v0.1.0 — what this tool can access:

- **Network access:** no
- **Filesystem access:** no
- **Shell / process execution:** no
- **Environment & secrets:** no
- **Dynamic code execution:** no

*"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.*


## Versions

- **0.1.0** — security scan: passed — Imported from the upstream source.

## Links

- Listing page: https://agentstack.voostack.com/l/mcp-astoriel-dbt-doctor
- Seller: https://agentstack.voostack.com/s/astoriel
- Browse the marketplace: https://agentstack.voostack.com/browse

---
Listed on AgentStack — the marketplace for AI agent skills and MCP servers. Every listing is security-reviewed. Creators keep 70%.