[{"_1":2,"_365":-5,"_366":-5},"loaderData",{"_3":4,"_29":30,"_273":274},"root",{"_5":6,"_14":15},"toasts",[7],{"_8":9,"_10":11,"_12":13},"uid","01999a2b-03a8-76a4-83bb-ac6866566ea3","title","This MCP server does not support inspection","type","error","visitor",{"_16":17,"_18":19},"viewportWidth",1280,"visitorSession",{"_20":21,"_23":24,"_25":-5,"_26":27,"_28":-5},"attributes",[22],"bot","id",17216360,"membership","referenceId","01999741-5648-746d-aa76-377bfd37ef27","userAccount","routes/_public/mcp/servers/~namespace/~slug/_pages/_layout",{"_31":32,"_73":-5,"_74":33,"_34":75,"_191":192,"_272":174},"availableLocales",[33,45,52,59,66],{"_34":35,"_38":42,"_43":44},"mcpServer",{"_36":37,"_38":39,"_40":41},"description","An MCP server implementation that allows users to fetch and display weather information for specified cities, including temperature, humidity, wind speed, and weather descriptions.","name","Weather Query MCP Server","readme","# Weather Query MCP Server/Client Example\n\nThis project is a weather query client that interacts with an MCP (Model-Client-Protocol) server to fetch and display weather information for a specified city.\n\n## Features\n\n- Connects to an MCP server to list available tools.\n- Queries weather information for a specified city.\n- Displays formatted weather information including temperature, humidity, wind speed, and weather description.\n\n## Requirements\n\n- Python 3.8+\n- `openai` library\n- `dotenv` library\n- `mcp` library\n\n## Setup\n\n1. Clone the repository:\n ```sh\n git clone \n cd \n ```\n\n2. Create a virtual environment and activate it:\n ```sh\n python -m venv .venv\n source .venv/bin/activate # On Windows use `.venv\\Scripts\\activate`\n ```\n\n3. Install the required dependencies:\n ```sh\n pip install -r requirements.txt\n ```\n\n4. Create a `.env` file in the root directory and add your OpenAI API key and other configurations:\n ```env\n OPENAI_API_KEY=\n BASE_URL=\n MODEL=\n ```\n\n## Usage\n\n1. Start the MCP server:\n ```sh\n python server.py\n ```\n\n2. Run the client and connect to the server:\n ```sh\n python client.py \n ```\n\n3. Interact with the client:\n - Type the name of the city in English to get the weather information.\n - Type `quit` to exit the client.\n\n## Project Structure\n\n- `server.py`: Contains the MCP server implementation and weather query tool.\n- `client.py`: Contains the MCP client implementation to interact with the server.\n- `.env`: Environment variables for API keys and configurations.\n- `.gitignore`: Specifies files and directories to be ignored by git.\n- `README.md`: Project documentation.\n\n## License\n\nThis project is licensed under the MIT License.","English","tag","en-US",{"_34":46,"_38":50,"_43":51},{"_36":47,"_38":48,"_40":49},"Una implementación de servidor MCP que permite a los usuarios obtener y mostrar información meteorológica para ciudades específicas, incluida la temperatura, la humedad, la velocidad del viento y descripciones del clima.","Servidor MCP de consultas meteorológicas","# Ejemplo de servidor/cliente MCP de consulta meteorológica\n\nEste proyecto es un cliente de consulta meteorológica que interactúa con un servidor MCP (Modelo-Cliente-Protocolo) para obtener y mostrar información meteorológica de una ciudad específica.\n\n## Características\n\n* Se conecta a un servidor MCP para enumerar las herramientas disponibles.\n* Consulta información meteorológica de una ciudad específica.\n* Muestra información meteorológica formateada, incluida la temperatura, la humedad, la velocidad del viento y la descripción del clima.\n\n## Requisitos\n\n* Python 3.8+\n* biblioteca `openai`\n* biblioteca `dotenv`\n* biblioteca `mcp`\n\n## Configuración\n\n1. Clonar el repositorio:\n\n ```sh\n git clone \n cd \n ```\n\n2. Crea un entorno virtual y actívalo:\n\n ```sh\n python -m venv .venv\n source .venv/bin/activate # On Windows use `.venv\\Scripts\\activate`\n ```\n\n3. Instale las dependencias necesarias:\n\n ```sh\n pip install -r requirements.txt\n ```\n\n4. Cree un archivo `.env` en el directorio raíz y agregue su clave API de OpenAI y otras configuraciones:\n\n ```env\n OPENAI_API_KEY=\n BASE_URL=\n MODEL=\n ```\n\n## Uso\n\n1. Inicie el servidor MCP:\n\n ```sh\n python server.py\n ```\n\n2. Ejecute el cliente y conéctese al servidor:\n\n ```sh\n python client.py \n ```\n\n3. Interactuar con el cliente:\n\n * Escriba el nombre de la ciudad en inglés para obtener la información meteorológica.\n * Escriba `quit` para salir del cliente.\n\n## Estructura del proyecto\n\n* `server.py` : Contiene la implementación del servidor MCP y la herramienta de consulta meteorológica.\n* `client.py` : Contiene la implementación del cliente MCP para interactuar con el servidor.\n* `.env` : Variables de entorno para claves API y configuraciones.\n* `.gitignore` : especifica los archivos y directorios que Git debe ignorar.\n* `README.md` : Documentación del proyecto.\n\n## Licencia\n\nEste proyecto está licenciado bajo la licencia MIT.","Spanish","es-ES",{"_34":53,"_38":57,"_43":58},{"_36":54,"_38":55,"_40":56},"指定された都市の天気情報（気温、湿度、風速、天気の説明など）を取得して表示できるようにする MCP サーバー実装。","天気クエリMCPサーバー","# 天気クエリMCPサーバー/クライアントの例\n\nこのプロジェクトは、MCP (モデルクライアントプロトコル) サーバーと対話して、指定された都市の天気情報を取得して表示する天気クエリクライアントです。\n\n## 特徴\n\n* MCP サーバーに接続して、利用可能なツールを一覧表示します。\n* 指定された都市の天気情報を照会します。\n* 温度、湿度、風速、天気の説明など、フォーマットされた天気情報を表示します。\n\n## 要件\n\n* Python 3.8以上\n* `openai`ライブラリ\n* `dotenv`ライブラリ\n* `mcp`ライブラリ\n\n## 設定\n\n1. リポジトリをクローンします。\n\n ```sh\n git clone \n cd \n ```\n\n2. 仮想環境を作成してアクティブ化します。\n\n ```sh\n python -m venv .venv\n source .venv/bin/activate # On Windows use `.venv\\Scripts\\activate`\n ```\n\n3. 必要な依存関係をインストールします。\n\n ```sh\n pip install -r requirements.txt\n ```\n\n4. ルートディレクトリに`.env`ファイルを作成し、OpenAI API キーとその他の構成を追加します。\n\n ```env\n OPENAI_API_KEY=\n BASE_URL=\n MODEL=\n ```\n\n## 使用法\n\n1. MCP サーバーを起動します。\n\n ```sh\n python server.py\n ```\n\n2. クライアントを実行してサーバーに接続します。\n\n ```sh\n python client.py \n ```\n\n3. クライアントと対話する:\n\n * 天気情報を取得するには、英語で都市名を入力します。\n * クライアントを終了するには、 `quit`入力します。\n\n## プロジェクト構造\n\n* `server.py` : MCP サーバーの実装と天気クエリツールが含まれています。\n* `client.py` : サーバーと対話するための MCP クライアント実装が含まれています。\n* `.env` : API キーと構成の環境変数。\n* `.gitignore` : git によって無視されるファイルとディレクトリを指定します。\n* `README.md` : プロジェクトのドキュメント。\n\n## ライセンス\n\nこのプロジェクトは MIT ライセンスに基づいてライセンスされています。","Japanese","ja-JP",{"_34":60,"_38":64,"_43":65},{"_36":61,"_38":62,"_40":63},"사용자가 특정 도시의 온도, 습도, 풍속, 날씨 설명을 포함한 날씨 정보를 가져와서 표시할 수 있도록 하는 MCP 서버 구현입니다.","날씨 쿼리 MCP 서버","# 날씨 쿼리 MCP 서버/클라이언트 예제\n\n이 프로젝트는 MCP(모델-클라이언트-프로토콜) 서버와 상호 작용하여 지정된 도시의 날씨 정보를 가져와 표시하는 날씨 쿼리 클라이언트입니다.\n\n## 특징\n\n* MCP 서버에 연결하여 사용 가능한 도구를 나열합니다.\n* 지정된 도시의 날씨 정보를 쿼리합니다.\n* 온도, 습도, 풍속, 날씨 설명을 포함한 형식화된 날씨 정보를 표시합니다.\n\n## 요구 사항\n\n* 파이썬 3.8 이상\n* `openai` 라이브러리\n* `dotenv` 라이브러리\n* `mcp` 라이브러리\n\n## 설정\n\n1. 저장소를 복제합니다.\n\n 지엑스피1\n\n2. 가상 환경을 만들고 활성화하세요.\n\n ```sh\n python -m venv .venv\n source .venv/bin/activate # On Windows use `.venv\\Scripts\\activate`\n ```\n\n3. 필요한 종속성을 설치하세요:\n\n ```sh\n pip install -r requirements.txt\n ```\n\n4. 루트 디렉토리에 `.env` 파일을 만들고 OpenAI API 키와 기타 구성을 추가합니다.\n\n ```env\n OPENAI_API_KEY=\n BASE_URL=\n MODEL=\n ```\n\n## 용법\n\n1. MCP 서버를 시작합니다.\n\n ```sh\n python server.py\n ```\n\n2. 클라이언트를 실행하고 서버에 연결합니다.\n\n ```sh\n python client.py \n ```\n\n3. 고객과 상호 작용:\n\n * 날씨 정보를 얻으려면 도시 이름을 영어로 입력하세요.\n * `quit` 입력하여 클라이언트를 종료합니다.\n\n## 프로젝트 구조\n\n* `server.py` : MCP 서버 구현과 날씨 쿼리 도구가 포함되어 있습니다.\n* `client.py` : 서버와 상호작용하는 MCP 클라이언트 구현이 포함되어 있습니다.\n* `.env` : API 키 및 구성을 위한 환경 변수.\n* `.gitignore` : git에서 무시할 파일과 디렉토리를 지정합니다.\n* `README.md` : 프로젝트 설명서.\n\n## 특허\n\n이 프로젝트는 MIT 라이선스에 따라 라이선스가 부여되었습니다.","Korean","ko-KR",{"_34":67,"_38":71,"_43":72},{"_36":68,"_38":69,"_40":70},"MCP 服务器实现允许用户获取和显示指定城市的天气信息，包括温度、湿度、风速和天气描述。","天气查询 MCP 服务器","# 天气查询 MCP 服务器/客户端示例\n\n该项目是一个天气查询客户端，它与 MCP（模型客户端协议）服务器交互以获取并显示指定城市的天气信息。\n\n## 特征\n\n* 连接到 MCP 服务器以列出可用的工具。\n* 查询指定城市的天气信息。\n* 显示格式化的天气信息，包括温度、湿度、风速和天气描述。\n\n## 要求\n\n* Python 3.8+\n* `openai`库\n* `dotenv`库\n* `mcp`库\n\n## 设置\n\n1. 克隆存储库：\n\n ```sh\n git clone \n cd \n ```\n\n2. 创建虚拟环境并激活它：\n\n ```sh\n python -m venv .venv\n source .venv/bin/activate # On Windows use `.venv\\Scripts\\activate`\n ```\n\n3. 安装所需的依赖项：\n\n ```sh\n pip install -r requirements.txt\n ```\n\n4. 在根目录中创建一个`.env`文件并添加您的 OpenAI API 密钥和其他配置：\n\n ```env\n OPENAI_API_KEY=\n BASE_URL=\n MODEL=\n ```\n\n## 用法\n\n1. 启动 MCP 服务器：\n\n ```sh\n python server.py\n ```\n\n2. 运行客户端并连接服务器：\n\n ```sh\n python client.py \n ```\n\n3. 与客户互动：\n\n * 输入英文城市名称即可获取天气信息。\n * 输入`quit`退出客户端。\n\n## 项目结构\n\n* `server.py` ：包含 MCP 服务器实现和天气查询工具。\n* `client.py` ：包含与服务器交互的 MCP 客户端实现。\n* `.env` ：API 密钥和配置的环境变量。\n* `.gitignore` ：指定 git 要忽略的文件和目录。\n* `README.md` ：项目文档。\n\n## 执照\n\n该项目已获得 MIT 许可。","Chinese","zh-CN","githubUser","locale",{"_76":77,"_20":78,"_85":37,"_86":37,"_23":87,"_88":89,"_38":39,"_121":122,"_129":-5,"_130":-5,"_131":132,"_181":182,"_186":-5,"_96":164,"_187":168,"_8":188,"_189":190},"addedAt","2025-04-01T15:01:29.931169Z",[79,80,81,82,83,84],"category:weather-services","category:search","environment:network","hosting:remote-capable","language:python","license_grade:f","descriptionMarkdown","descriptionPlainText",4768,"integrations",[90,100,107,114],{"_91":92,"_36":98,"_8":99},"brand",{"_93":94,"_38":95,"_96":97},"logoSvgPath","M24 0v24H0V0h24ZM10.933 15.89H6.84v5.52h4.198v-.93H7.955v-1.503h2.77v-.93h-2.77v-1.224h2.978v-.934Zm2.146 0h-1.084v5.52h1.035v-3.6l2.226 3.6h1.118v-5.52h-1.036v3.686l-2.259-3.687Zm5.117 0h-1.208l1.973 5.52h1.19l1.976-5.52h-1.182l-1.352 4.085-1.397-4.086ZM5.4 19.68H3.72v1.68H5.4v-1.68Z",".ENV","slug","dotenv","Used for loading environment variables from a .env file, enabling secure configuration of API keys and other 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