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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).

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# EdgeOne Pages MCP: Geo Location Service

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

![](https://cloudcache.tencent-cloud.com/qcloud/ui/static/static_source_business/f180b5ae-0e9c-40a8-a76a-b8f2a5e6108f.gif)

## Deploy

[![Deploy with EdgeOne Pages](https://cdnstatic.tencentcs.com/edgeone/pages/deploy.svg)](https://edgeone.ai/pages/new?template=mcp-geo)

More Templates: [EdgeOne Pages](https://edgeone.ai/pages/templates)

## 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:

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

## Learn More

* [EdgeOne Pages](https://edgeone.ai/products/pages)
* [EdgeOne Pages Functions documentation](https://edgeone.ai/document/162227908259442688)
* [Model Context Protocol (MCP)](https://modelcontextprotocol.github.io) - Learn about integrating AI models with external tools and services

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