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everything vs MCP-Clinic-Bot

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

everything
by modelcontextprotocol
MCP-Clinic-Bot
by sankett13
Stars★ 85,748★ 4
30d uses
Score7733
Official
Categories
Developer ToolsAI / LLM ToolsOther
AI / LLM ToolshealthcareProductivity
LanguageTypeScriptJavaScript
Last committhis month10 mo ago

everything · Summary

Official MCP test server exercising all protocol features for client builders.

MCP-Clinic-Bot · Summary

AI-powered medical chatbot using MCP with Google Gemini, ChromaDB vector search, and React frontend.

everything · Use cases

  • Testing MCP client implementations against all protocol features
  • Learning MCP protocol capabilities through a reference server
  • Validating client compatibility with different transport methods

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

everything · Install

NPX (recommended)

{
  "mcpServers": {
    "everything": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-everything"]
    }
  }
}

On Windows, use cmd /c:

{
  "mcpServers": {
    "everything": {
      "command": "cmd",
      "args": ["/c", "npx", "-y", "@modelcontextprotocol/server-everything"]
    }
  }
}

Docker

{
  "mcpServers": {
    "everything": {
      "command": "docker",
      "args": ["run", "-i", "--rm", "mcp/everything"]
    }
  }
}

Global install

npm install -g @modelcontextprotocol/server-everything@latest
npx @modelcontextprotocol/server-everything

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 install

Create a .env file in the backend directory:

GEMINI_API_KEY=your_gemini_api_key
MONGODB_URI=mongodb://localhost:27017/clinic_chatbot
PORT=5000

Frontend Setup

cd frontend/mcp_chatbot
npm install

Start the Application

**Backend:**

cd backend
npm run dev

**Frontend:**

cd frontend/mcp_chatbot
npm run dev

**MCP Server Inspector (Optional):**

cd backend
npm run inspector

For Claude Desktop integration, add to your claude_desktop_config.json:

{
  "mcpServers": {
    "clinic-bot": {
      "command": "node",
      "args": ["backend/mcpServer.js"]
    }
  }
}
Comparison generated from public README + GitHub signals. Last updated automatically.