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mcp-server-chart vs DINO-X-MCP

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

mcp-server-chart
by antvis
DINO-X-MCP
by IDEA-Research
Stars★ 4,068★ 114
30d uses10,239
Score8444
Official
Categories
AI / LLM ToolsDeveloper ToolsProductivity
AI / LLM ToolsMediaDeveloper Tools
LanguageTypeScriptTypeScript
Last committhis month7 mo ago

mcp-server-chart · Summary

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

DINO-X-MCP · Summary

DINO-X MCP server enables LLMs with visual perception through image object detection, localization, and captioning APIs.

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

DINO-X-MCP · Use cases

  • Visual content analysis with object detection and localization
  • Inventory management through automated object counting
  • Human pose estimation for fitness and healthcare applications

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"]
    }
  }
}

DINO-X-MCP · Install

Installation

Option A: Official Hosted Streamable HTTP (Recommended)

Add to your MCP client config:

{
  "mcpServers": {
    "dinox-mcp": {
      "url": "https://mcp.deepdataspace.com/mcp?key=your-api-key"
    }
  }
}

Option B: Use the NPM package locally (STDIO)

Install Node.js first, then configure:

{
  "mcpServers": {
    "dinox-mcp": {
      "command": "npx",
      "args": ["-y", "@deepdataspace/dinox-mcp"],
      "env": {
        "DINOX_API_KEY": "your-api-key-here",
        "IMAGE_STORAGE_DIRECTORY": "/path/to/your/image/directory"
      }
    }
  }
}
Comparison generated from public README + GitHub signals. Last updated automatically.