# 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
[](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
MCP directory API
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curl -X GET 'https://glama.ai/api/mcp/v1/servers/HolleIvan/mcp-geo'
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