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dbt-doctor vs filesystem

Side-by-side comparison to help you pick between these two MCP servers.

dbt-doctor
by Astoriel
filesystem
by modelcontextprotocol
Stars★ 134★ 85,748
30d uses
Score4877
Official
Categories
Developer ToolsDatabaseAI / LLM Tools
File SystemDeveloper ToolsProductivity
LanguagePythonTypeScript
Last commit1 mo agothis month

dbt-doctor · Summary

AI-driven quality & governance MCP server for dbt projects, offering auditing, profiling, drift detection, and documentation generation.

filesystem · Summary

A feature-rich MCP server for filesystem operations with dynamic directory access control.

dbt-doctor · Use cases

  • Audit dbt project health with a 0-100% score based on documentation, testing, and naming conventions
  • Profile data models to generate column statistics and intelligent test suggestions
  • Automatically update schema.yml files with suggested tests and documentation

filesystem · Use cases

  • Enable AI models to read and write project files during development
  • Allow Claude or other MCP clients to browse and analyze codebases
  • Provide secure sandboxed access to specific directories for content generation

dbt-doctor · Install

Install dbt-doctor via pip:

pip install dbt-doctor

For Claude Desktop, add to your claude_desktop_config.json:

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

For Cursor, add to your .cursor/mcp.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.

filesystem · Install

Installation

Using NPX

{
  "mcpServers": {
    "filesystem": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-filesystem",
        "/path/to/allowed/directory"
      ]
    }
  }
}

Using Docker

{
  "mcpServers": {
    "filesystem": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "--mount", "type=bind,src=/path/to/allowed/dir,dst=/projects/allowed/dir",
        "mcp/filesystem",
        "/projects"
      ]
    }
  }
}

VS Code Extension

Click the installation buttons in the README to install directly in VS Code.

Comparison generated from public README + GitHub signals. Last updated automatically.