This MCP provides multiple implementations of geocoding tools utilizing Google Maps API, including Python (urllib and SDK) and TypeScript, with CLI clients and detailed documentation for integration.
Added on:
Created by:
Apr 15 2025
This MCP provides multiple implementations of geocoding tools utilizing Google Maps API, including Python (urllib and SDK) and TypeScript, with CLI clients and detailed documentation for integration.
Added on:
Created by:
Apr 15 2025
richardschrammcom
Featured
What is Geocoder Rosetta?
The MCP Geocoder Rosetta acts as a universal standard for creating geocoding tools within the Model Context Protocol (MCP). It includes multiple language implementations, such as Python with direct API calls and SDKs, and TypeScript with Google Maps SDK. These implementations enable developers to easily deploy geocoding services, perform address lookups, and integrate location data into broader AI workflows. The repository also provides CLI tools, configuration guides for platforms like Claude Desktop, and testing scripts to ensure seamless communication between client and server components, making geocoding highly accessible and scalable across different environments.
Who will use Geocoder Rosetta?
- AI Developers
- Software Engineers
- Data Integration Specialists
- Geo-location Service Providers
How to use the Geocoder Rosetta?
- Clone the GitHub repository
- Set up your Google Maps API key
- Install MCP CLI tools
- Configure environment variables with your API key
- Run tests or start geocoder server using specified implementations
- Use CLI commands or integrate into platforms like Claude Desktop for geocoding tasks
Geocoder Rosetta's Core Features & Benefits
The Core Features
- Multiple implementation support (Python urllib, Python SDK, TypeScript)
- CLI client tools for testing and deployment
- Documentation for platform integration
- Error handling and environment setup guides
The Benefits
- Flexible language support
- Easy to deploy and test geocoding services
- Standardized protocol for AMI models
- Seamless integration with AI workflows
Geocoder Rosetta's Main Use Cases & Applications
- AI-enabled address validation
- Location intelligence and mapping
- Geocoding automation in AI workflows
- Integration in customer service bots for address lookup
- Business analytics based on location data
FAQs of Geocoder Rosetta
Developer
- richardschrammcom
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