mcp-server-chart vs MCP-Clinic-Bot
Side-by-side comparison to help you pick between these two MCP servers.
mcp-server-chart by antvis | MCP-Clinic-Bot by sankett13 | |
|---|---|---|
| Stars | ★ 4,068 | ★ 4 |
| 30d uses | 10,239 | — |
| Score | 84 | 33 |
| Official | — | — |
| Categories | AI / LLM ToolsDeveloper ToolsProductivity | AI / LLM ToolshealthcareProductivity |
| Language | TypeScript | JavaScript |
| Last commit | this month | 10 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-Clinic-Bot · Summary
AI-powered medical chatbot using MCP with Google Gemini, ChromaDB vector search, and React frontend.
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-Clinic-Bot · Use cases
- Medical clinic front desk automation for appointment scheduling
- 24/7 patient information assistant for healthcare providers
- Clinic information retrieval system using vector search
mcp-server-chart · Install
Installation
Install globally:
npm install -g @antv/mcp-server-chartFor 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-Clinic-Bot · Install
Installation
Prerequisites
- Node.js (v18 or higher)
- MongoDB (local or cloud instance)
- Google Gemini API key
- npm or yarn package manager
Backend Setup
cd backend
npm installCreate a .env file in the backend directory:
GEMINI_API_KEY=your_gemini_api_key
MONGODB_URI=mongodb://localhost:27017/clinic_chatbot
PORT=5000Frontend Setup
cd frontend/mcp_chatbot
npm installStart the Application
**Backend:**
cd backend
npm run dev**Frontend:**
cd frontend/mcp_chatbot
npm run dev**MCP Server Inspector (Optional):**
cd backend
npm run inspectorFor Claude Desktop integration, add to your claude_desktop_config.json:
{
"mcpServers": {
"clinic-bot": {
"command": "node",
"args": ["backend/mcpServer.js"]
}
}
}