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EdgeOne Geolocation MCP Server

by HolleIvan
README.md1.78 kB
# 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 ![](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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