Geo
0
Retrieves user geolocation information for integration with large language models via the Model Context Protocol.
About
This project serves as a practical demonstration of integrating user geolocation data with large language models through the Model Context Protocol (MCP). It leverages EdgeOne Pages Functions to accurately retrieve a user's location, which is then exposed as a callable tool for AI models via an MCP server. This setup enables AI applications to become location-aware, enhancing their ability to provide contextually relevant responses and services.
Key Features
- Retrieves user geolocation using EdgeOne Pages Functions
- Integrates geolocation data with Large Language Models via MCP
- Exposes a 'get_geolocation' tool for AI models
- Returns location information in JSON format
- Uses EdgeOne request context for geolocation access
- 0 GitHub stars
Use Cases
- Demonstrate integration of EdgeOne Pages Functions with external services for AI models
- Provide real-time location context to large language models
- Develop AI applications requiring user-specific geographical information
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