For Five Coffee MCP Server
Enables AI assistants to fetch, search, and organize menu information from For Five Coffee café. Provides access to complete menu data, category filtering, and item search capabilities through both MCP and REST API interfaces.
README
For Five Coffee MCP Server
A Model Context Protocol (MCP) server that provides access to For Five Coffee menu data. Works with Claude Desktop, Cursor, and other MCP clients, plus provides a REST API.
Quick Start
git clone <this-repo>
cd menu-mcp
npm install
npm start
This starts both:
- MCP Server (stdio) - for AI assistants
- HTTP API (port 3000) - for web apps
MCP Client Setup
Claude Desktop
Add to claude_desktop_config.json:
{
"mcpServers": {
"for-five-coffee": {
"command": "node",
"args": ["/path/to/menu-mcp/server.js"]
}
}
}
Cursor
Option 1: Let Cursor start the server
Add to ~/.cursor/mcp.json:
{
"mcpServers": {
"for-five-coffee": {
"command": "node",
"args": ["/Users/marco/git/menu-mcp/server.js"],
"env": {
"PORT": "3000"
}
}
}
}
Option 2: Connect to already running server
If you're running npm start separately, add this to ~/.cursor/mcp.json:
{
"mcpServers": {
"for-five-coffee": {
"url": "http://localhost:3000/sse"
}
}
}
This connects Cursor to the running MCP server via Server-Sent Events (SSE).
Usage Examples
Ask Your AI Assistant
- "What coffee drinks does For Five Coffee have?"
- "Search for pastries on the menu"
- "What's the cheapest coffee option?"
- "Show me all tea varieties"
Use the HTTP API
# Get full menu
curl http://localhost:3000/api/menu
# Search for items
curl "http://localhost:3000/api/menu/search?q=latte"
# Get categories
curl http://localhost:3000/api/menu/categories
In Your Code
// Fetch menu data
const response = await fetch('http://localhost:3000/api/menu');
const menu = await response.json();
// Search items
const search = await fetch('http://localhost:3000/api/menu/search?q=coffee');
const results = await search.json();
import requests
# Get menu
menu = requests.get('http://localhost:3000/api/menu').json()
# Search
results = requests.get('http://localhost:3000/api/menu/search',
params={'q': 'latte'}).json()
Available Endpoints
| Endpoint | Description |
|---|---|
GET / |
Server info |
GET /health |
Health check |
GET /api/menu |
Full menu |
GET /api/menu/search?q={query} |
Search items |
GET /api/menu/categories |
All categories |
GET /api/menu/category/{name} |
Items by category |
MCP Tools
get_full_menu- Get complete menusearch_menu_items- Search by queryget_menu_categories- List categoriesget_items_by_category- Filter by category
Development
npm run dev # Start with auto-restart
npm test # Run all tests
npm run test:unit # Unit tests only
npm run test:http # HTTP API tests only
npm run test:sse # SSE MCP transport tests only
npm run test:integration # Integration tests only
npm run lint # Check code style
Troubleshooting
MCP not working?
- Check the absolute path to
server.jsin your config - Restart your MCP client after config changes
- Run
npm startmanually to test
HTTP API not responding?
- Make sure server is running:
npm start - Check port 3000 isn't in use:
lsof -i :3000 - Test:
curl http://localhost:3000/health
No menu data?
- Check internet connection
- The server handles SSL issues automatically
- Website structure may have changed (fallbacks included)
License
Apache 2.0
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