This MCP enables users to find nearby locations by determining their IP-based geographical position and querying Google Places API for relevant results.
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Created by:
Mar 27 2025
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What is Nearby Search MCP?
The Nearby Search MCP provides a streamlined API endpoint to search for nearby places such as restaurants, cafes, or other points of interest. It uses IP-based geolocation via ipapi.co to detect the user's current location automatically. Users can specify keywords, search radius, and place types to customize their search. This setup facilitates efficient, location-aware searching for applications needing proximity data without manual input of coordinates, making it suitable for mobile apps, local business finders, and location-based services.
Who will use Nearby Search MCP?
- Developers building location-based applications
- Businesses offering location services
- Mobile app developers
- Research projects requiring geospatial data
How to use the Nearby Search MCP?
- Step1: Clone the repository from GitHub
- Step2: Install dependencies using pip or uv
- Step3: Configure your Google API key in the environment variables
- Step4: Run the MCP server using the command line
- Step5: Query the 'search_nearby' endpoint with desired parameters (keyword, radius, type) to perform searches
Nearby Search MCP's Core Features & Benefits
The Core Features
- IP-based location detection
- Google Places API integration
- Keyword and type filtering
- Customizable search radius
The Benefits
- Automates location detection
- Provides relevant nearby points of interest
- Flexible search options
- Easy to integrate into apps
Nearby Search MCP's Main Use Cases & Applications
- Building location-aware mobile applications
- Local business directory services
- Real estate app neighborhood searches
- Tourism and travel planning apps
FAQs of Nearby Search MCP
Developer
- kukapay