Google Maps MCP Server

Streamable HTTP MCP server for Google Maps — search places, get details, and plan routes.

Repository: github.com/iceener/maps-streamable-mcp-server

Author: overment

Use Case

This MCP server is designed for location-aware AI agents running on mobile devices like Apple Watch or iPhone. Your client provides the current position, and the AI can:

• Find nearby places (restaurants, stores, gas stations)
• Get directions with turn-by-turn navigation
• Compare distances to multiple destinations
• Check opening hours and ratings before you arrive

It also pairs well with other MCP tools — for example, combining with a Tesla MCP to set navigation destinations directly in your car.

Notice

This repo works in two ways:

• As a Node/Hono server for local workflows
• As a Cloudflare Worker for remote interactions

Features

• ✅ Places — Search nearby places, restaurants, landmarks by text or type
• ✅ Details — Get hours, ratings, reviews, photos, contact info
• ✅ Routes — Calculate walking, driving, transit directions
• ✅ Distance Matrix — Compare distances to multiple destinations
• ✅ Location-aware — All tools work with your current position
• ✅ Dual Runtime — Node.js/Bun or Cloudflare Workers

Design Principles

• LLM-friendly: Unified tools, not 1:1 API mirrors
• Watch-ready: Designed for AI agents with location context
• Smart defaults: 1km radius, 10 results, walking mode
• Clear feedback: Place IDs visible for follow-up queries

Installation

Prerequisites: Bun, Google Cloud project.

0. Client Setup

Your client needs to be aware of the current time and your current location, as both values will be used for searching and planning.

1. Get Google Maps API Key

1. Go to Google Cloud Console
2. Create a new project (or select existing)
3. Navigate to APIs & Services > Library
4. Enable Places API (New) and Routes API
5. Go to APIs & Services > Credentials
6. Click Create Credentials > API Key
7. (Recommended) Restrict key to Places API and Routes API

2. Local Development

cd google-maps-mcp
bun install
cp .env.example .env

Edit .env:

PORT=3000
AUTH_ENABLED=true
AUTH_STRATEGY=bearer

# Generate with: openssl rand -hex 32
BEARER_TOKEN=your-random-auth-token

# Your Google Maps API key
API_KEY=your-google-maps-api-key

Run:

bun dev
# MCP: http://127.0.0.1:3000/mcp

3. Cloudflare Worker (Deploy)

1. Create KV namespace:

wrangler kv:namespace create TOKENS

2. Update wrangler.toml with your KV namespace ID

3. Set secrets:

# Auth token for clients (generate it using: openssl rand -hex 32). This makes the connection to your MCP not open to everyone, but only to those who have this API key.
wrangler secret put BEARER_TOKEN

# Your Google Maps API key
wrangler secret put API_KEY

4. Deploy:

wrangler deploy

Endpoint: https://<worker-name>.<account>.workers.dev/mcp

Client Configuration

Claude Desktop / Cursor (Local)

{
  "mcpServers": {
    "google-maps": {
      "command": "npx",
      "args": ["mcp-remote", "http://localhost:3000/mcp", "--transport", "http-only"],
      "env": { "NO_PROXY": "127.0.0.1,localhost" }
    }
  }
}

Claude Desktop / Cursor (Cloudflare Worker)

{
  "mcpServers": {
    "google-maps": {
      "command": "npx",
      "args": ["mcp-remote", "https://your-worker.workers.dev/mcp", "--transport", "http-only"]
    }
  }
}

Alice App

Add as MCP server with:

• URL: https://your-worker.workers.dev/mcp
• Type: streamable-http
• Header: Authorization: Bearer <your-BEARER_TOKEN>

Tools

search_places

Find places by text query or type near a location.

// Input
{
  query?: string;              // "sushi near Central Park"
  location: {                  // Required: your current position
    latitude: number;
    longitude: number;
  };
  types?: string[];            // ["restaurant", "cafe"]
  radius?: number;             // Meters (default: 1000, max: 50000)
  filters?: {
    open_now?: boolean;
    min_rating?: number;       // 0-5
    price_levels?: string[];   // PRICE_LEVEL_INEXPENSIVE, etc.
  };
  max_results?: number;        // Default: 10, max: 20
  sort_by?: "distance" | "rating" | "relevance";
}

// Output
- Restaurant Name (500m) ★4.5(234) $$ 🟢 Open
  123 Main St, New York
  ID: ChIJN1t_tDeuEmsRUsoyG83frY4

Use query for text search, or types for category-based nearby search.

get_place

Get detailed information about a specific place.

// Input
{
  place_id: string;            // From search_places results
  fields?: string[];           // ["basic", "contact", "hours", "reviews", "photos"]
}

// Output
Name: Central Park
Address: New York, NY, USA
Rating: 4.8 (50000 reviews)
Open Now: Yes
Hours: Monday: 6:00 AM – 1:00 AM, ...
Phone: +1 212-310-6600
Website: https://centralparknyc.org
Google Maps: https://maps.google.com/?cid=...

get_route

Calculate routes or distance matrix.

// Single destination → detailed route
{
  origin: { latitude: 40.7128, longitude: -74.0060 };
  destinations: [{ latitude: 40.7580, longitude: -73.9855 }];
  mode?: "walk" | "drive" | "transit";  // Default: "walk"
  options?: {
    departure_time?: string;   // ISO 8601 or "now"
    include_steps?: boolean;   // Turn-by-turn instructions
    include_polyline?: boolean;
  };
}

// Multiple destinations → distance matrix
{
  origin: { latitude: 40.7128, longitude: -74.0060 };
  destinations: [
    { latitude: 40.7580, longitude: -73.9855 },
    { latitude: 40.7484, longitude: -73.9857 },
    "Empire State Building"    // Address or place ID also works
  ];
  mode?: "walk";
}

// Output (single)
Route Summary: via 5th Ave
Total Distance: 5.2 km
Total Duration: 62 minutes

Steps:
  1.1. Head north on Broadway
  1.2. Turn right onto E 42nd St
  ...

// Output (matrix)
Distances from origin to 3 destinations:
- To Times Square: 4.8 km, 58 min
- To Empire State: 3.2 km, 38 min
- To Central Park: 6.1 km, 73 min

Examples

1. Find nearby coffee shops

{
  "name": "search_places",
  "arguments": {
    "types": ["cafe"],
    "location": { "latitude": 40.7128, "longitude": -74.0060 },
    "filters": { "open_now": true },
    "sort_by": "distance"
  }
}

2. Search by text

{
  "name": "search_places",
  "arguments": {
    "query": "best pizza in Manhattan",
    "location": { "latitude": 40.7128, "longitude": -74.0060 },
    "max_results": 5
  }
}

3. Get place details

{
  "name": "get_place",
  "arguments": {
    "place_id": "ChIJN1t_tDeuEmsRUsoyG83frY4",
    "fields": ["basic", "hours", "reviews"]
  }
}

4. Walking directions

{
  "name": "get_route",
  "arguments": {
    "origin": { "latitude": 40.7128, "longitude": -74.0060 },
    "destinations": [{ "latitude": 40.7580, "longitude": -73.9855 }],
    "mode": "walk",
    "departure_time": "now",
    "include_steps": true
  }
}

5. Compare distances to multiple places

{
  "name": "get_route",
  "arguments": {
    "origin": { "latitude": 40.7128, "longitude": -74.0060 },
    "destinations": [
      "Times Square, NYC",
      "Central Park, NYC",
      "Brooklyn Bridge, NYC"
    ],
    "mode": "walk"
  }
}

HTTP Endpoints

Environment Variables

Node.js (.env)

Cloudflare Workers

wrangler.toml:

AUTH_ENABLED = "true"
AUTH_STRATEGY = "bearer"

Secrets (set via wrangler secret put):

• BEARER_TOKEN — Random auth token for clients
• API_KEY — Google Maps Platform API key

KV Namespace:

[[kv_namespaces]]
binding = "TOKENS"
id = "your-kv-namespace-id"

Troubleshooting

Development

bun dev           # Start with hot reload
bun run typecheck # TypeScript check
bun run lint      # Lint code
bun run build     # Production build
bun start         # Run production

Architecture

src/
├── shared/
│   └── tools/
│       ├── search-places.ts   # Unified place search
│       ├── get-place.ts       # Place details
│       └── get-route.ts       # Routes & distance matrix
├── services/
│   └── google-maps.ts         # Google Maps API client
├── config/
│   └── metadata.ts            # Server & tool descriptions
├── index.ts                   # Node.js entry
└── worker.ts                  # Workers entry

License

MIT