A
licenseNot graded
qualityD
maintenanceEnables AI models to access user geolocation information through EdgeOne Pages Functions, allowing location-aware AI interactions.
MIT
EdgeOne Geo MCP Server
by ljs11111
Pages機能付きMCP：位置情報デモ
このプロジェクトでは、EdgeOne Pages Functions を使用してユーザーの地理位置情報を取得し、MCP (Model Context Protocol) を通じて大規模な言語モデルと統合する方法を示します。
デモ
Related MCP server: MCP Geo Location Server
展開する
その他のテンプレート: EdgeOne Pages
コンポーネント
1. EdgeOne Pagesの機能：地理位置情報
このプロジェクトには、ユーザーの位置情報を取得する EdgeOne Pages 関数が含まれています。
EdgeOneリクエストコンテキストを使用して地理位置情報データにアクセスします
位置情報をJSON形式で返します
functions/get_geo.tsにあります
2. MCPサーバーの統合
MCP サーバー コンポーネントは、大規模な言語モデルが地理位置情報データにアクセスするためのインターフェイスを提供します。
モデルコンテキストプロトコル（MCP）を実装します
AIモデルで使用できる
get_geolocationツールを公開しますEdgeOne Pages Functionを使用して地理位置情報データを取得します
mcp-server/index.tsにあります
MCP構成
大規模言語モデルで MCP サーバーを使用するには、次の構成を追加します。
{
"mcpServers": {
"edgeone-geo-mcp-server": {
"command": "tsx",
"args": ["path/to/mcp-server/index.ts"]
}
}
}もっと詳しく知る
モデルコンテキストプロトコル（MCP） - AIモデルを外部ツールやサービスと統合する方法について学びます
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