About Google Maps Places
Google Maps Places is an MCP server for searching places and retrieving place photos through the Google Places API. It is suited to workflows that need local business details or address checks.
Key features
- 01Search places with text queries
- 02Retrieve a place photo URL
Use cases
- 01Find cafés by location and criteria
- 02Check a venue's details for meeting plans
- 03Validate or autocomplete a partial address
MCP support
Exposes place search and photo retrieval tools to MCP clients, using the Google Places API through an OAuth proxy.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
npx -y google-maps-places-mcpGOOGLE_ACCESS_TOKENSecretGoogle OAuth access token with cloud-platform scope.MCP_TRANSPORTTransport type.GOOGLE_CLIENT_IDGoogle OAuth client ID.GOOGLE_CLIENT_SECRETSecretGoogle OAuth client secret.Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEgoogle-maps-places-mcp
MCP server for Google Maps Places API - search for places and get photos.
Use Cases
Meeting coordination: Someone emails "Let's meet at Nando's near the office - what time works best for you?" → your AI assistant looks up the location, checks opening hours, and adds it to your calendar with the address.
Local recommendations: Ask "find a quiet café with WiFi near King's Cross for a 2-hour work session" → get places with ratings, hours, and photos to help you decide.
Address validation: Confirm or autocomplete partial addresses before sending mail or booking deliveries.
(These are just examples - any workflow that needs place search or business info can use this.)
Setup
1. Create Google OAuth credentials
- Go to Google Cloud Console
- Create a new project (or use existing)
- Enable the Places API (New)
- Go to APIs & Services → OAuth consent screen, set up consent screen
- Go to APIs & Services → Credentials → Create Credentials → OAuth client ID
- Choose Web application
- Add
http://localhost:3000/callbackto Authorized redirect URIs - Note your Client ID and Client Secret
2. Run the server
GOOGLE_CLIENT_ID='your-client-id' \
GOOGLE_CLIENT_SECRET='your-client-secret' \
MCP_TRANSPORT=http \
npm start
The server runs on http://localhost:3000 by default. Change with PORT=3001.
3. Add to your MCP client
With the server running, follow the instructions on install-mcp, which generates the right config for your MCP client (Claude Code, Claude Desktop, Cursor, Cline, VS Code, and more).
Architecture
This server acts as an OAuth proxy to Google:
graph LR
A[MCP client] <--> B[google-maps-places-mcp] <--> C[Google OAuth/API]
- Server advertises itself as an OAuth authorization server via
/.well-known/oauth-authorization-server /registerreturns the Google OAuth client credentials/authorizeredirects to Google, encoding the client's callback URL in state/callbackreceives the code from Google and forwards to the client's callback/tokenproxies token requests to Google, injecting client credentials/mcphandles MCP requests, using the bearer token to call Places API
The server holds no tokens or state - it just proxies OAuth to Google.
Tools
| Tool | Description |
|---|---|
places_text_search | Search for places by text query (e.g., "coffee shops near me") |
places_photo_get | Get a photo URL for a place |
OAuth Scope
cloud-platform- Access to Google Cloud APIs (required for Places API New)
Contributing
Pull requests are welcomed on GitHub! To get started:
- Install Git and Node.js
- Clone the repository
- Install dependencies with
npm install - Run
npm run testto run tests - Build with
npm run build
Releases
Versions follow the semantic versioning spec.
To release:
- Use
npm version <major | minor | patch>to bump the version - Run
git push --follow-tagsto push with tags - Wait for GitHub Actions to publish to the NPM registry.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.