Skip to main content
Glama
Kong

For Five Coffee MCP Server

by Kong

CI License Node.js Version

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 https://github.com/Kong/for-five-mcp.git
cd for-five-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/for-five-mcp/server.js"]
    }
  }
}

Cursor

Option 1: Let Cursor start the server Add to ~/.cursor/mcp.json:

{
  "mcpServers": {
    "for-five-coffee": {
      "command": "node",
      "args": ["/path/to/for-five-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/mcp",
      "transport": "http"
    }
  }
}

This connects Cursor to the running MCP server via HTTP JSON-RPC 2.0 transport.

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

POST /mcp

MCP JSON-RPC 2.0 endpoint

MCP Tools

  • get_full_menu - Get complete menu

  • search_menu_items - Search by query

  • get_menu_categories - List categories

  • get_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:mcp     # 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.js in your config

  • Restart your MCP client after config changes

  • Run npm start manually 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

Install Server
A
security – no known vulnerabilities
F
license - not found
A
quality - confirmed to work

Resources

Unclaimed servers have limited discoverability.

Looking for Admin?

If you are the server author, to access and configure the admin panel.

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/Kong/menu-mpc'

If you have feedback or need assistance with the MCP directory API, please join our Discord server