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).
More Templates: EdgeOne Pages
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
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
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"]
}
}
}
- EdgeOne Pages
- EdgeOne Pages Functions documentation
- Model Context Protocol (MCP) - Learn about integrating AI models with external tools and services