mcp-server-chart vs mcp-agent

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

	mcp-server-chart by antvis	mcp-agent by Haohao-end
Stars	★ 4,068	★ 85
30d uses	10,239	—
Score	84	47
Official	—	—
Categories	AI / LLM ToolsDeveloper ToolsProductivity	AI / LLM ToolsDeveloper ToolsKnowledge Graph
Language	TypeScript	Python
Last commit	this month	3 mo ago

mcp-server-chart · Summary

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

mcp-agent · Summary

A modular Python MCP framework integrating LLMs with tools, weather data, and advanced RAG capabilities.

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

mcp-agent · Use cases

Building intelligent agents that can access real-time weather information through LLMs
Creating document intelligence systems with advanced RAG capabilities for knowledge retrieval
Developing modular AI applications with standardized MCP tool integration

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"]
    }
  }
}

mcp-agent · Install

Installation

**Prerequisites**

- Python 3.10+ - Virtual environment (recommended)

**Environment Setup**

Create a .env file in the root directory with: ``env API_KEY=your_llm_api_key BASE_URL=https://dashscope.aliyuncs.com/compatible-mode/v1 MODEL=qwen-plus EMBED_MODEL=sentence-transformers/all-MiniLM-L6-v2 ``

**Dependencies**

``bash pip install mcp langchain langchain-community langchain-openai chromadb httpx python-dotenv openai ``

Claude Desktop Integration

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "mcp-agent": {
      "command": "python",
      "args": ["/path/to/mcp-agent/client.py"]
    }
  }
}

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