[{"_1":2,"_348":-5,"_349":-5},"loaderData",{"_3":4,"_22":23,"_259":260},"root",{"_5":6,"_7":8},"toasts",[],"visitor",{"_9":10,"_11":12},"viewportWidth",1280,"visitorSession",{"_13":14,"_16":17,"_18":-5,"_19":20,"_21":-5},"attributes",[15],"bot","id",17868451,"membership","referenceId","0199c5aa-51b0-7759-8197-bc4efce79cc1","userAccount","routes/_public/mcp/servers/~namespace/~slug/_pages/_layout",{"_24":25,"_66":-5,"_67":26,"_27":68,"_175":176,"_258":162},"availableLocales",[26,38,45,52,59],{"_27":28,"_31":35,"_36":37},"mcpServer",{"_29":30,"_31":32,"_33":34},"description","An intermediate agent server that enhances LLMs with weather data capabilities using the Model Context Protocol (MCP) framework, enabling retrieval of real-time weather information.","name","MCP-Weather Server","readme","# MCP-Augmented LLM for Reaching Weather Information\r\n\r\n## Overview\r\nThis system enhances Large Language Models (LLMs) with weather data capabilities using the Model Context Protocol (MCP) framework.\r\n\r\n## Demo\r\n![A demo](./images/demo1.png)\r\n\r\n### Components\r\n- **MCP Client**: Store LLms\r\n- **MCP Server**: Intermediate agent connecting external tools / resources\r\n\r\n## Configuration\r\n\r\n### DeepSeek Platform\r\n```env\r\nBASE_URL=https://api.deepseek.com\r\nMODEL=deepseek-chat\r\nOPENAI_API_KEY=\r\n```\r\n\r\n### OpenWeather Platform\r\n```env\r\nOPENWEATHER_API_BASE=https://api.openweathermap.org/data/2.5/weather\r\nUSER_AGENT=weather-app/1.0\r\nAPI_KEY=\r\n```\r\n\r\n## Installation & Execution\r\n\r\n1. Initialize project:\r\n```bash\r\nuv init weather_mcp\r\ncd weather_mcp\r\n```\r\nwhere weather_mcp is the project file name.\r\n\r\n2. Install dependencies:\r\n```bash\r\nuv add mcp httpx\r\n```\r\n\r\n3. Launch system:\r\n```bash\r\ncd ./utils\r\npython client.py server.py\r\n```\r\n\r\n> Note: Replace all `` placeholders with actual API keys\r\n","English","tag","en-US",{"_27":39,"_31":43,"_36":44},{"_29":40,"_31":41,"_33":42},"Un servidor de agente intermedio que mejora los LLM con capacidades de datos meteorológicos utilizando el marco del Protocolo de Contexto de Modelo (MCP), lo que permite la recuperación de información meteorológica en tiempo real.","Servidor meteorológico MCP","# LLM ampliado con MCP para acceder a información meteorológica\n\n## Descripción general\n\nEste sistema mejora los modelos de lenguaje grande (LLM) con capacidades de datos meteorológicos utilizando el marco del Protocolo de contexto de modelo (MCP).\n\n## Manifestación\n\n![Una demostración](./images/demo1.png)\n\n### Componentes\n\n* **Cliente MCP** : Almacenar LLms\n* **Servidor MCP** : agente intermedio que conecta herramientas/recursos externos\n\n## Configuración\n\n### Plataforma DeepSeek\n\n```env\nBASE_URL=https://api.deepseek.com\r\nMODEL=deepseek-chat\r\nOPENAI_API_KEY=\n```\n\n### Plataforma OpenWeather\n\n```env\nOPENWEATHER_API_BASE=https://api.openweathermap.org/data/2.5/weather\r\nUSER_AGENT=weather-app/1.0\r\nAPI_KEY=\n```\n\n## Instalación y ejecución\n\n1. Inicializar proyecto:\n\n```bash\nuv init weather_mcp\r\ncd weather_mcp\n```\n\ndonde weather\\_mcp es el nombre del archivo del proyecto.\n\n2. Instalar dependencias:\n\n```bash\nuv add mcp httpx\n```\n\n3. Sistema de lanzamiento:\n\n```bash\ncd ./utils\r\npython client.py server.py\n```\n\n> Nota: Reemplace todos los marcadores de posición `` con claves API reales","Spanish","es-ES",{"_27":46,"_31":50,"_36":51},{"_29":47,"_31":48,"_33":49},"モデルコンテキストプロトコル (MCP) フレームワークを使用して気象データ機能を備えた LLM を強化し、リアルタイムの気象情報の取得を可能にする中間エージェントサーバー。","MCP-天気サーバー","# 気象情報にアクセスするためのMCP拡張LLM\n\n## 概要\n\nこのシステムは、モデルコンテキストプロトコル (MCP) フレームワークを使用して、大規模言語モデル (LLM) に気象データ機能を拡張します。\n\n## デモ\n\n![デモ](./images/demo1.png)\n\n### コンポーネント\n\n* **MCPクライアント**: ストアLLms\n* **MCP サーバー**: 外部ツール/リソースを接続する中間エージェント\n\n## 構成\n\n### DeepSeekプラットフォーム\n\n```env\nBASE_URL=https://api.deepseek.com\r\nMODEL=deepseek-chat\r\nOPENAI_API_KEY=\n```\n\n### オープンウェザープラットフォーム\n\n```env\nOPENWEATHER_API_BASE=https://api.openweathermap.org/data/2.5/weather\r\nUSER_AGENT=weather-app/1.0\r\nAPI_KEY=\n```\n\n## インストールと実行\n\n1. プロジェクトを初期化します:\n\n```bash\nuv init weather_mcp\r\ncd weather_mcp\n```\n\nここで、weather\\_mcp はプロジェクトファイル名です。\n\n2. 依存関係をインストールします:\n\n```bash\nuv add mcp httpx\n```\n\n3. 発射システム:\n\n```bash\ncd ./utils\r\npython client.py server.py\n```\n\n> 注: すべての``プレースホルダーを実際の API キーに置き換えてください。","Japanese","ja-JP",{"_27":53,"_31":57,"_36":58},{"_29":54,"_31":55,"_33":56},"모델 컨텍스트 프로토콜(MCP) 프레임워크를 사용하여 날씨 데이터 기능으로 LLM을 향상시키고 실시간 날씨 정보를 검색할 수 있는 중간 에이전트 서버입니다.","MCP-날씨 서버","# 날씨 정보 도달을 위한 MCP 증강 LLM\n\n## 개요\n\n이 시스템은 MCP(Model Context Protocol) 프레임워크를 사용하여 날씨 데이터 기능을 갖춘 대규모 언어 모델(LLM)을 향상시킵니다.\n\n## 데모\n\n![데모](./images/demo1.png)\n\n### 구성 요소\n\n* **MCP 클라이언트** : LLms 저장\n* **MCP 서버** : 외부 도구/리소스를 연결하는 중간 에이전트\n\n## 구성\n\n### DeepSeek 플랫폼\n\n지엑스피1\n\n### 오픈웨더 플랫폼\n\n```env\nOPENWEATHER_API_BASE=https://api.openweathermap.org/data/2.5/weather\r\nUSER_AGENT=weather-app/1.0\r\nAPI_KEY=\n```\n\n## 설치 및 실행\n\n1. 프로젝트 초기화:\n\n```bash\nuv init weather_mcp\r\ncd weather_mcp\n```\n\n여기서 weather\\_mcp는 프로젝트 파일 이름입니다.\n\n2. 종속성 설치:\n\n```bash\nuv add mcp httpx\n```\n\n3. 발사 시스템:\n\n```bash\ncd ./utils\r\npython client.py server.py\n```\n\n> 참고: 모든 `` 플레이스홀더를 실제 API 키로 바꾸세요.","Korean","ko-KR",{"_27":60,"_31":64,"_36":65},{"_29":61,"_31":62,"_33":63},"中间代理服务器使用模型上下文协议 (MCP) 框架增强 LLM 的天气数据功能，从而能够检索实时天气信息。","MCP-天气服务器","# MCP 增强型 LLM 获取天气信息\n\n## 概述\n\n该系统使用模型上下文协议 (MCP) 框架增强了具有天气数据功能的大型语言模型 (LLM)。\n\n## 演示\n\n![演示](./images/demo1.png)\n\n### 成分\n\n* **MCP 客户端**：存储 LLms\n* **MCP 服务器**：连接外部工具/资源的中间代理\n\n## 配置\n\n### DeepSeek 平台\n\n```env\nBASE_URL=https://api.deepseek.com\r\nMODEL=deepseek-chat\r\nOPENAI_API_KEY=\n```\n\n### OpenWeather平台\n\n```env\nOPENWEATHER_API_BASE=https://api.openweathermap.org/data/2.5/weather\r\nUSER_AGENT=weather-app/1.0\r\nAPI_KEY=\n```\n\n## 安装与执行\n\n1. 初始化项目：\n\n```bash\nuv init weather_mcp\r\ncd weather_mcp\n```\n\n其中 weather\\_mcp 是项目文件名。\n\n2. 安装依赖项：\n\n```bash\nuv add mcp httpx\n```\n\n3. 发射系统：\n\n```bash\ncd ./utils\r\npython client.py server.py\n```\n\n> 注意：将所有``占位符替换为实际的 API 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MCP directory API