A powerful Model Context Protocol (MCP) server providing comprehensive Google Maps API integration with LLM processing capabilities.
What is cablate mcp google map
MCP Google Map Server
A powerful Model Context Protocol (MCP) server providing comprehensive Google Maps API integration with LLM processing capabilities.
Features
Google Maps Features
-
Location Search
- Search for places near a specific location with customizable radius and filters
- Get detailed place information including ratings, opening hours, and contact details
-
Geocoding Services
- Convert addresses to coordinates (geocoding)
- Convert coordinates to addresses (reverse geocoding)
-
Distance & Directions
- Calculate distances and travel times between multiple origins and destinations
- Get detailed directions between two points with step-by-step instructions
- Support for different travel modes (driving, walking, bicycling, transit)
-
Elevation Data
- Retrieve elevation data for specific locations
Installation
Via NPM
npm install -g @cablate/mcp-google-map
Usage
Command Line
mcp-google-map
Integration with Dive Desktop
- Click "+ Add MCP Server" in Dive Desktop
- Copy and paste the following configuration:
{
"mcpServers": {
"google-map": {
"command": "npx",
"args": ["-y", "@cablate/mcp-google-map"],
"env": {
"GOOGLE_MAPS_API_KEY": "your_api_key"
},
"enabled": true
}
}
}
- Click "Save" to complete the installation
Available Tools
The server provides the following tools:
- search_nearby - Search for places near a specific location
- get_place_details - Get detailed information about a specific place
- maps_geocode - Convert an address to coordinates
- maps_reverse_geocode - Convert coordinates to an address
- maps_distance_matrix - Calculate distances and times between multiple origins and destinations
- maps_directions - Get directions between two points
- maps_elevation - Get elevation data for specific locations
Google Maps API Setup
To use this service, you need to:
- Create a project in Google Cloud Console
- Enable Google Maps API services
- Obtain an API key
- Set the
GOOGLE_MAPS_API_KEY
environment variable
Tech Stack
- TypeScript
- Node.js
- Google Maps Services JS
- Model Context Protocol SDK
License
MIT
Contributing
Community participation and contributions are welcome! Here's how you can contribute:
- ⭐️ Star the project if you find it helpful
- 🐛 Submit Issues: Report bugs or provide suggestions
- 🔧 Create Pull Requests: Submit code improvements
Contact
If you have any questions or suggestions, feel free to reach out:
- 📧 Email: [email protected]
- 📧 GitHub: CabLate
- 🤝 Collaboration: Welcome to discuss project cooperation
- 📚 Technical Guidance: Sincere welcome for suggestions and guidance
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Frequently Asked Questions
What is MCP?
MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications, providing a standardized way to connect AI models to different data sources and tools.
What are MCP Servers?
MCP Servers are lightweight programs that expose specific capabilities through the standardized Model Context Protocol. They act as bridges between LLMs like Claude and various data sources or services, allowing secure access to files, databases, APIs, and other resources.
How do MCP Servers work?
MCP Servers follow a client-server architecture where a host application (like Claude Desktop) connects to multiple servers. Each server provides specific functionality through standardized endpoints and protocols, enabling Claude to access data and perform actions through the standardized protocol.
Are MCP Servers secure?
Yes, MCP Servers are designed with security in mind. They run locally with explicit configuration and permissions, require user approval for actions, and include built-in security features to prevent unauthorized access and ensure data privacy.
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