mcp-server-chart vs rag-anythink-mcp

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

	mcp-server-chart by antvis	rag-anythink-mcp by serkanyasr
Stars	★ 4,068	★ 6
30d uses	10,239	—
Score	84	39
Official	—	—
Categories	AI / LLM ToolsDeveloper ToolsProductivity	AI / LLM ToolsKnowledge GraphDatabase
Language	TypeScript	Python
Last commit	this month	4 mo ago

mcp-server-chart · Summary

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

rag-anythink-mcp · Summary

MCP server for advanced RAG with knowledge graphs, document processing, and multimodal AI support.

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

rag-anythink-mcp · Use cases

Enterprise document management with knowledge graph-based search
Research paper analysis with multimodal content extraction
Intelligent question answering over complex technical documents

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"]
    }
  }
}

rag-anythink-mcp · Install

Installation

Quick Start with Docker (Recommended)

# Clone the repository
git clone https://github.com/serkanyasr/rag-anythink-mcp.git
cd rag-anythink-mcp

# Copy environment template
cp .env.example .env

# Edit .env and set your OpenAI API key
# OPENAI_API_KEY=sk-...

# Start all services
docker-compose up -d

# View logs
docker-compose logs -f rag-mcp

Claude Desktop Configuration

Add to your Claude Desktop MCP config:

{
  "mcpServers": {
    "rag-anything": {
      "command": "docker-compose",
      "args": ["up", "rag-mcp"],
      "env": {
        "OPENAI_API_KEY": "your-api-key"
      }
    }
  }
}

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