mcp-geo
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EdgeOne Pages MCP: Geo Location Service demonstrates the integration of user geolocation information with large language models using the Model Context Protocol.
EdgeOne Pages MCP: Geo Location Service is a project that showcases the use of EdgeOne Pages Functions to retrieve user geolocation data and integrate it with large language models through the Model Context Protocol (MCP). The project includes components such as EdgeOne Pages Functions for geolocation and an MCP server for interfacing with AI models. The geolocation function utilizes the EdgeOne request context to access and return location data in JSON format. The MCP server component implements the MCP to expose a `get_geolocation` tool, allowing AI models to access geolocation data. This integration facilitates the enhancement of AI models with real-time geolocation information, enabling more context-aware applications.
Features
- EdgeOne Pages Functions for geolocation retrieval
- MCP server integration for AI model access
- JSON format geolocation data output
- Exposes `get_geolocation` tool for AI models
- Utilizes EdgeOne request context for data access