Google Maps MCP Server
Provides tools for searching places, getting place details, searching nearby, getting directions, geocoding, and reverse geocoding using the Google Maps Platform.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Google Maps MCP ServerFind coffee shops near Union Square in San Francisco"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Google Maps MCP Server
gmaps-mcp is an MCP server that gives Claude Desktop, Cursor, and Claude Code full Google Maps capabilities — places search, place details, nearby search, directions, geocoding, and reverse geocoding. Install with one line (uvx gmaps-mcp), drop a config block into your MCP client, and your AI assistant can talk to Google Maps natively.
Built on the official Model Context Protocol Python SDK with FastMCP. Supports both stdio transport (local Claude Desktop / Cursor usage) and streamable HTTP transport (for remote deployments and A2A agent-to-agent scenarios).
What you can ask Claude once it's installed
"Find specialty coffee shops near me in San Francisco"
"What are the best ramen places in Shibuya, Tokyo, with reviews?"
"How long does it take to walk from Union Square to the Ferry Building?"
"Give me driving directions from SFO to Berkeley"
"What are the coordinates of the Eiffel Tower?"
"What's the address at 37.8199, -122.4783?"
"Find a 24-hour pharmacy within 2 km of these coordinates"
"Show me the top-rated Italian restaurants in North Beach with their hours and phone numbers"
The MCP client picks the right tool automatically — you don't name it.
Install in Claude Desktop
Edit your claude_desktop_config.json (Settings → Developer → Edit Config) and add:
{
"mcpServers": {
"google-maps": {
"command": "uvx",
"args": ["gmaps-mcp"],
"env": {
"GOOGLE_MAPS_API_KEY": "your_google_maps_api_key_here"
}
}
}
}Restart Claude Desktop. uvx fetches gmaps-mcp from PyPI on first run and caches it — no cloning, no venv, no Docker.
Install in Cursor
Edit ~/.cursor/mcp.json and add:
{
"mcpServers": {
"google-maps": {
"command": "uvx",
"args": ["gmaps-mcp"],
"env": {
"GOOGLE_MAPS_API_KEY": "your_google_maps_api_key_here"
}
}
}
}Restart Cursor. Done.
Install in Claude Code
One command from your terminal:
claude mcp add google-maps \
-e GOOGLE_MAPS_API_KEY=your_google_maps_api_key_here \
-- uvx gmaps-mcpConfirm with claude mcp list.
Get a Google Maps API key
You need a Google Maps Platform API key with Places API (New), Directions API, and Geocoding API enabled. It takes 3 minutes. Google gives $200/month in free Maps credit, far more than solo or small-team use will ever consume.
Step-by-step
Go to Google Cloud Console and create (or pick) a project.
Enable billing on the project. This is required even for the free tier. If you skip this step, every Google Maps call will return
403 BILLING_DISABLED(see Troubleshooting). Add a card — the free credit runs first, so you will not be charged for normal use.Enable these APIs in APIs & Services → Library:
Places API (New) — powers
search_places,get_place_details,search_nearbyDirections API — powers
get_directionsGeocoding API — powers
geocode,reverse_geocode
Go to APIs & Services → Credentials → + CREATE CREDENTIALS → API key.
(Recommended) Click the new key → Edit → API restrictions → restrict to just those three APIs.
Copy the key into your MCP client config above.
Tools
All six tools are real Google Maps calls against live data. No mocks, no stub responses.
Tool | What it does |
Text search for businesses, landmarks, POIs | |
Reviews, amenities, hours, phone, price level for a specific place | |
Find places within a radius of GPS coordinates, filtered by type | |
Step-by-step routes — driving, walking, bicycling, transit | |
Address or landmark → GPS coordinates | |
GPS coordinates → human-readable address |
search_places
Text search for places by natural-language query. Returns businesses, landmarks, and points of interest with ratings, addresses, phone numbers, websites, opening hours, and coordinates.
Ask Claude:
"find specialty coffee shops in San Francisco"
"best ramen in Shibuya"
"24-hour pharmacies in Brooklyn"
"pet-friendly cafes near Golden Gate Park"
Returns: query, total_results, places[] with name, address, phone, website, google_maps_url, rating, reviews_count, price_level, types, latitude, longitude, is_open_now, opening_hours, business_status.
get_place_details
Get rich details about a specific place using its Google Place ID (returned by search_places). Includes reviews, amenities, editorial summary, and payment options.
Ask Claude:
"show me the reviews for that first coffee shop"
"is the second restaurant dog-friendly? do they have outdoor seating?"
"what are the opening hours and phone number of the place I just asked about"
Returns: everything from search_places plus top 5 reviews (author, rating, text, relative time), editorial_summary, and amenity flags: delivery, dine_in, takeout, reservable, outdoor_seating, live_music, payment_options, accessibility_options.
search_nearby
Find places within a radius of specific GPS coordinates. Use after geocode gives you a location, or when the user provides coordinates directly.
Ask Claude:
"find cafes within 500 meters of these coordinates"
"what hotels are within 2 km of the Eiffel Tower?"
"show me gas stations within 5 km of 37.7955, -122.3937"
Parameters: latitude, longitude, radius_meters (max 50,000), place_type (optional — restaurant, cafe, bar, hotel, gas_station, pharmacy, hospital, etc.), max_results.
Returns: center, radius_meters, place_type, total_results, places[] with the same fields as search_places.
get_directions
Step-by-step navigation between two locations, with total distance and duration. Supports driving (with traffic-aware duration), walking, bicycling, and public transit.
Ask Claude:
"how do I walk from Union Square to the Ferry Building?"
"give me driving directions from SFO to Berkeley with traffic"
"bicycle route from Central Park to Times Square"
Parameters: origin (address, landmark, or "lat,lng"), destination (same), mode ("driving" default, "walking", "bicycling", "transit").
Returns: origin, destination, mode, routes[] with summary, legs[] containing start_address, end_address, distance, duration, duration_in_traffic, and steps[] with step-by-step instruction, distance, duration.
geocode
Convert an address, landmark, or place description into GPS coordinates.
Ask Claude:
"what are the coordinates of the Eiffel Tower?"
"geocode 1600 Amphitheatre Parkway, Mountain View"
"find the latitude and longitude of Ferry Building San Francisco"
Returns: query, formatted_address, latitude, longitude, place_id, location_type, types.
reverse_geocode
Convert GPS coordinates into a human-readable address.
Ask Claude:
"what's at 37.8199, -122.4783?"
"reverse geocode these coordinates: 48.8584, 2.2945"
"what address is at latitude 40.7580, longitude -73.9855?"
Returns: latitude, longitude, formatted_address, place_id, address_components[].
Troubleshooting
403 BILLING_DISABLED / 403 Forbidden from Google
This is the most common setup issue. The error looks like:
Google Maps API error: 403 - {
"error": {
"code": 403,
"message": "This API method requires billing to be enabled...",
"status": "PERMISSION_DENIED",
"details": [{"reason": "BILLING_DISABLED", ...}]
}
}Fix: Go back to step 2 of the API key setup and enable billing on your GCP project. Billing is required even though you will never actually be charged for normal solo use (Google's $200/month free credit handles it). Wait 2-3 minutes after enabling for the change to propagate through Google's systems, then retry.
API_KEY_INVALID / API project not authorized
You enabled billing but forgot to enable the specific APIs. Go back to step 3 and turn on Places API (New), Directions API, and Geocoding API individually.
uvx: command not found
Install uv first: curl -LsSf https://astral.sh/uv/install.sh | sh (macOS/Linux) or powershell -c "irm https://astral.sh/uv/install.ps1 | iex" (Windows).
Tools work in HTTP mode but not stdio (or vice versa)
Both transports share the exact same client and tool implementations — if one works, the other should too. If you hit a mismatch, open an issue with the error output.
Why this MCP server
If you're searching PyPI for a Google Maps MCP server, you'll find a couple of options. Here's what's different about gmaps-mcp:
Both transports in one package. Stdio for Claude Desktop / Cursor / Claude Code local usage, streamable HTTP for remote deployment and A2A scenarios. Same codebase, same tools, same behavior.
All six Google Maps capabilities. Not just search — places details, nearby search, directions with traffic, geocoding, reverse geocoding.
Uses Places API (New). The current Google Places API, not the legacy v1 endpoints that Google has deprecated.
Real FastMCP implementation. Built on the official MCP Python SDK, not a hand-rolled protocol parser.
MIT licensed, zero telemetry. Your queries never leave your machine except to hit Google's APIs directly.
Tested against the real API. Every tool is verified end-to-end against live Google endpoints on both transports.
Remote HTTP server mode
For deployments, shared team usage, or A2A agent-to-agent scenarios, gmaps-mcp also runs as a streamable HTTP server with optional API key auth.
git clone https://github.com/arthurkatcher/google-maps-mcp
cd google-maps-mcp
uv sync
cp .env.example .env # edit with your API key
python run.pyServer listens on http://127.0.0.1:8000 by default, MCP endpoint at /mcp/, health check at /health. For local-only use you can leave MCP_API_KEY unset.
⚠️ Before exposing the server publicly (ngrok, reverse proxy, LAN, etc.): set
MCP_API_KEYto a random secret. Without it, anyone who reaches the URL can run searches against your billedGOOGLE_MAPS_API_KEY. Also bind to127.0.0.1and let your tunnel/proxy forward from there, rather than binding0.0.0.0directly.
# .env
MCP_API_KEY=$(openssl rand -hex 32)
MCP_HOST=127.0.0.1
# then
python run.py
ngrok http 8000 --host-header=rewrite
# clients call https://your-ngrok-url.ngrok-free.dev/mcp/ with X-API-Key: <secret>ℹ️ Why
--host-header=rewrite. The MCP Python SDK's HTTP transport validates theHostheader to block DNS-rebinding attacks against localhost servers. ngrok's default forwards the public hostname, which the SDK rejects with421 Invalid Host header.--host-header=rewritemakes ngrok forward the upstreamHost(127.0.0.1:8000), which passes the check. The same reasoning applies to other tunnels and reverse proxies — set the upstreamHostto your bind address.
Security considerations
When you run gmaps-mcp over HTTP, treat MCP_API_KEY as a credential that
gates a billed Google Cloud account. A few operator-side defaults worth
having in place:
Rotate the key on suspected exposure. It's a single env var; pasting it in a screenshot, committed log, or shared session is enough to leak it.
Set a Google Cloud billing alert on the GCP project that holds your
GOOGLE_MAPS_API_KEY. Pick a threshold that's well under whatever number would ruin your week. This is the cheap backstop against any leak — your key, the MCP key, or a third-party scraping the tunnel URL.Restrict the Google Maps API key to just the three APIs
gmaps-mcpuses (Places API New, Directions, Geocoding) under APIs & Services → Credentials → Edit. Optionally pin it to your home/server IP for defense in depth.No server-side rate limiting yet. A leaked
MCP_API_KEYlets an attacker burn quota as fast as their bandwidth allows. Until that lands, the billing alert is your circuit breaker.Don't expose
MCP_HOST=0.0.0.0without a key. If you do, the server refuses to start (this is enforced in 0.1.3+ — a deliberate guardrail added after ).
Pricing
Google's Maps Platform offers a $200/month free credit that covers roughly:
~11,000 Places API (New) requests, or
~40,000 Geocoding API requests, or
~40,000 Directions API requests.
For solo or small-team use, you will almost never hit the cap. Past the free tier, expect approximately $17 per 1,000 Places requests and $5 per 1,000 Geocoding/Directions requests. See Google Maps Platform pricing for current rates.
Development
git clone https://github.com/arthurkatcher/google-maps-mcp
cd google-maps-mcp
uv sync
cp .env.example .env # add your real API key
# Run in stdio mode (for local MCP clients)
uv run python -m google_maps_mcp
# Run in HTTP mode (for remote clients)
uv run python run.pyRoadmap
Places API v2 fields — exploiting newer review/media fields as Google rolls them out
Traffic-aware ETA tool — dedicated tool for real-time travel time with traffic
Place photos — tool to fetch
PlacePhotoURLs for UI renderingStatic maps rendering — optional tool to return a static map image for a place or route
Autocomplete suggestions — for building typeahead UX on top of the MCP server
MCP registry submission — listing on registry.modelcontextprotocol.io once it stabilizes
Project structure
google-maps-mcp/
├── pyproject.toml
├── README.md
├── LICENSE
├── run.py # HTTP server entry point
└── src/google_maps_mcp/
├── __init__.py
├── __main__.py # stdio server entry point
├── client.py # Google Maps API client
├── tools.py # Tool wrappers
└── server.py # FastMCP server + Starlette HTTP middlewareLicense
MIT — see LICENSE. Use it anywhere, fork it, ship it.
Credits
Built by Arthur Katcher. Contributions, bug reports, and PRs welcome at github.com/arthurkatcher/google-maps-mcp.
If this MCP server saves you time, a GitHub star is the only payment I ask for.
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