MCP Servers

MCP Geo Location Demo

A server that enables AI models to access user geolocation information via EdgeOne Pages Functions through the Model Context Protocol.

README

MCP with Pages Functions ：Geo Location Demo

This project demonstrates how to use EdgeOne Pages Functions to retrieve user geolocation information and integrate it with large language models through MCP (Model Context Protocol).

Demo

Deploy

More Templates: EdgeOne Pages

Components

1. EdgeOne Pages Functions: Geolocation

The project includes an EdgeOne Pages Function that retrieves user geolocation information:

Uses the EdgeOne request context to access geolocation data
Returns location information in a JSON format
Located in functions/get_geo.ts

2. MCP Server Integration

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

Implements the Model Context Protocol (MCP)
Exposes a get_geolocation tool that can be used by AI models
Uses the EdgeOne Pages Function to fetch geolocation data
Located in mcp-server/index.ts

MCP Configuration

To use 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 about integrating AI models with external tools and services

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