mcp-server-chart vs dbt-doctor

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

	mcp-server-chart by antvis	dbt-doctor by Astoriel
Stars	★ 4,068	★ 134
30d uses	10,239	—
Score	84	48
Official	—	—
Categories	AI / LLM ToolsDeveloper ToolsProductivity	Developer ToolsDatabaseAI / LLM Tools
Language	TypeScript	Python
Last commit	this month	1 mo ago

mcp-server-chart · Summary

A TypeScript MCP server for generating 26+ visualization charts using AntV, supporting multiple chart types and deployment options.

dbt-doctor · Summary

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

mcp-server-chart · Use cases

Data analysts creating visual reports from datasets
AI assistants generating custom charts based on user requests
Web applications embedding visualization capabilities via HTTP API

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

mcp-server-chart · Install

Installation

Install globally:

npm install -g @antv/mcp-server-chart

For Desktop Apps (e.g., Claude Desktop, VSCode):

{
  "mcpServers": {
    "mcp-server-chart": {
      "command": "npx",
      "args": ["-y", "@antv/mcp-server-chart"]
    }
  }
}

For Windows:

{
  "mcpServers": {
    "mcp-server-chart": {
      "command": "cmd",
      "args": ["/c", "npx", "-y", "@antv/mcp-server-chart"]
    }
  }
}

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.

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