time vs MCP-Clinic-Bot
Side-by-side comparison to help you pick between these two MCP servers.
time by modelcontextprotocol | MCP-Clinic-Bot by sankett13 | |
|---|---|---|
| Stars | ★ 85,748 | ★ 4 |
| 30d uses | — | — |
| Score | 77 | 33 |
| Official | ✓ | — |
| Categories | ProductivityDeveloper ToolsCommunication | AI / LLM ToolshealthcareProductivity |
| Language | TypeScript | JavaScript |
| Last commit | this month | 10 mo ago |
time · Summary
A comprehensive MCP server providing time and timezone conversion tools with automatic system timezone detection.
MCP-Clinic-Bot · Summary
AI-powered medical chatbot using MCP with Google Gemini, ChromaDB vector search, and React frontend.
time · Use cases
- Assisting with international meeting scheduling across time zones
- Providing real-time time information for location-based queries
- Enabling time conversion for travel planning and itineraries
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
time · Install
Installation Options
**Using uv (recommended):**
uvx mcp-server-time**Using PIP:**
pip install mcp-server-time
python -m mcp_server_time**Configure for Claude Desktop:**
{
"mcpServers": {
"time": {
"command": "uvx",
"args": ["mcp-server-time"]
}
}
}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"]
}
}
}