Edgeone Geolocation

🚀 Edge MCP and Pages Functions: Geolocation Demo

This project demonstrates how to leverage EdgeOne Pages Functions to obtain users' geographical location information and integrate it with large language models through MCP (Model Context Protocol).

🚀 Quick Start

🔍 Demo

📦 Deployment

More templates: EdgeOne Pages

✨ Features

1. EdgeOne Pages Functions: Geolocation

This project includes an EdgeOne Pages function for obtaining users' geographical location information:

• Access geographical location data using the EdgeOne request context.
• Return geographical location information in JSON format.
• Located at functions/get_geo.ts.

2. MCP Server Integration

The MCP server component provides an interface for large language models to access geographical location data:

• Implements the Model Context Protocol (MCP).
• Exposes a tool named get_geolocation for AI models to use.
• Uses the EdgeOne Pages Function to obtain geographical location data.
• Located at mcp-server/index.ts.

📚 Documentation

🔧 MCP Configuration

To integrate the MCP server with large language models, add the following configuration:

{
  "mcpServers": {
    "edgeone-geo-mcp-server": {
      "command": "tsx",
      "args": ["path/to/mcp-server/index.ts"]
    }
  }
}

📖 Learn More

• EdgeOne Pages
• EdgeOne Pages Functions Documentation
• Model Context Protocol (MCP) - Learn how to integrate AI models with external tools and services.