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EdgeOne Pages MCP Geo Location Service

EdgeOne Pages MCP Geo Location Service

Public
TencentEdgeOne/mcp-geo

Provides geolocation data retrieval via EdgeOne Pages Functions and exposes it through the Model Context Protocol, enabling large language models to access user location information in JSON format for enhanced contextual AI interactions.

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May 29, 2025
Updated Jun 4, 2025

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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

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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