[{"_1":2,"_354":-5,"_355":-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",17495170,"membership","referenceId","0199ab24-15cd-719b-b50b-df06c33c002b","userAccount","routes/_public/mcp/servers/~namespace/~slug/_pages/_layout",{"_24":25,"_79":-5,"_80":38,"_27":81,"_176":177,"_258":159},"availableLocales",[26,38,45,51,58,65,72],{"_27":28,"_31":35,"_36":37},"mcpServer",{"_29":30,"_31":32,"_33":34},"description","Ein Python-Server, der das Model Context Protocol implementiert und Tools zum Abfragen externer APIs bereitstellt, die mit Claude Desktop und ChatGPT Desktop kompatibel sind.","name","MCP Python Server – API Wrapper","readme","# MCP Python Server – API Wrapper\n\nDieses Projekt erstellt einen MCP-Server in Python, der ein Tool zum Abfragen einer externen API bereitstellt. Kompatibel mit Claude Desktop oder ChatGPT Desktop, die das Model Context Protocol (MCP) unterstützen.\n\n## ✨ Funktionen\n\n* Verfügbarmachen eines Tools über MCP\n* HTTP-Abfrage an eine externe API\n* Direkte Integration mit Claude/Desktop über claude.json\n\n***\n\n## 🚀 Voraussetzungen\n\n* Python 3.9+\n* mcp\\[cli] (installierbar über pip oder uv)\n* Claude oder ChatGPT Desktop (mit MCP-Unterstützung)\n\n***\n\n## 📁 Projektstruktur\n\n```\n.\r\n├── servidores/profile.py # Servidor MCP con herramientas para interactuar con mi backend del curriculum.\r\n├── server.py # Servidor MCP con herramienta \"consultar_api\".\r\n├── .env # Variables opcionales para auth/API.\r\n├── claude.json # Config. MCP para integrarlo directamente.\r\n└── README.md # Este documento.\n```\n\n***\n\n## ⚙️ Installation\n\n### Mit Pip\n\n```bash\npip install \"mcp[cli]\"\n```\n\n### Mit UV (empfohlen)\n\n```bash\nuv init mcp-api-server\r\ncd mcp-api-server\r\nuv add \"mcp[cli]\"\n```\n\n### Installation des MCP\n\n```bash\nmcp install mi_script.py\n```\n\n### Installation mit .env\n\n```bash\nmcp install mi_script.py -f .env\n```\n\n### Installation von Abhängigkeiten\n\n```bash\npip install -r requirements.txt\n```\n\n### Umgebungsvariablen\n\nErstellen Sie eine `.env` Datei im Projektstamm, um optionale Umgebungsvariablen zu definieren:\n\n```env\n# .env\r\nAPI_KEY=mi_api_key\r\nAPI_URL=https://miapi.com/consulta\n```\n\n***\n\n## 👷 Schnellstart (Schnellstart)\n\n### Erstellen Sie den Server server.py\n\n```python\nfrom mcp.server.fastmcp import FastMCP\r\nimport httpx\r\n\r\nmcp = FastMCP(\"API Wrapper\")\r\n\r\n@mcp.tool(description=\"Consulta una API externa\")\r\nasync def consultar_api(param: str) -> str:\r\n \"\"\"Consulta una API externa con un parámetro y devuelve la respuesta.\"\"\"\r\n async with httpx.AsyncClient() as client:\r\n r = await client.get(f\"https://miapi.com/consulta?param={param}\")\r\n return r.text\n```\n\n### Lokal im Entwicklermodus ausführen\n\n```bash\nmcp dev server.py\n```\n\n### Im Produktionsmodus ausführen\n\n```bash\nmcp run server.py\n```\n\nOder mit UV:\n\n```bash\nuv run --with mcp[cli] mcp run server.py\n```\n\n***\n\n## 🚀 Integration mit Claude/Desktop\n\nSuchen Sie claude.json im Konfigurationsordner Claude/Desktop:\n\n* Unter Windows: %APPDATA%\\Claude\\claude.json\n* Unter Linux/macOS: ~/.claude/claude.json\n\nBeispiel:\n\n```json\n{\r\n \"mcpServers\": {\r\n \"filesystem\": {\r\n \"command\": \"npx\",\r\n \"args\": [\r\n \"-y\",\r\n \"@modelcontextprotocol/server-filesystem\",\r\n \"/codigo/backend-curso-inkor/proyectos_memes\"\r\n ]\r\n },\r\n \"Demo\": {\r\n \"command\": \"uv\",\r\n \"args\": [\r\n \"run\",\r\n \"--with\",\r\n \"mcp[cli]\",\r\n \"mcp\",\r\n \"run\",\r\n \"C:\\\\codigo\\\\backend-curso-inkor\\\\MCP\\\\server.py\"\r\n ]\r\n }\r\n }\r\n}\n```\n\n***\n\n## 🤖 Verwendung innerhalb von Claude/Desktop\n\nSie können das Modell fragen:\n\n> Verwenden Sie das Tool consult\\_api mit dem Parameter „ping“\n\nUnd das Modell verwendet Ihren MCP-Server, um einen HTTP-Aufruf in Echtzeit zu tätigen.\n\n***\n\n## 🎁 Bonus: Tools-Erweiterung\n\n```python\n@mcp.tool()\r\nasync def traducir(texto: str, lang: str) -> str:\r\n return f\"Traducido: {texto} → {lang}\"\n```\n\n***\n\n## 🔍 Ressourcen\n\n* Offizielle MCP-Dokumentation: \n* Python SDK-Repository: \n\n***\n\n✅ Mit Liebe gemacht und httpx 🚀","German","tag","de-DE",{"_27":39,"_31":43,"_36":44},{"_29":40,"_31":41,"_33":42},"A Python server implementing the Model Context Protocol that exposes tools for querying external APIs, compatible with Claude Desktop and ChatGPT Desktop.","MCP Python Server—API Wrapper","# MCP Python Server—API Wrapper\n\nThis project creates an MCP server in Python that exposes a tool for querying an external API. It is compatible with Claude Desktop or ChatGPT Desktop that support the Model Context Protocol (MCP).\n\n## ✨ Features\n\n* Exposing a tool via MCP\n* HTTP query to an external API\n* Direct integration with Claude/Desktop via claude.json\n\n***\n\n## 🚀 Requirements\n\n* Python 3.9+\n* mcp\\[cli] (installable via pip or uv)\n* Claude or ChatGPT Desktop (with MCP support)\n\n***\n\n## 📁 Project structure\n\n```\n.\r\n├── servidores/profile.py # Servidor MCP con herramientas para interactuar con mi backend del curriculum.\r\n├── server.py # Servidor MCP con herramienta \"consultar_api\".\r\n├── .env # Variables opcionales para auth/API.\r\n├── claude.json # Config. MCP para integrarlo directamente.\r\n└── README.md # Este documento.\n```\n\n***\n\n## ⚙️ Installation\n\n### With pip\n\n```bash\npip install \"mcp[cli]\"\n```\n\n### With UV (recommended)\n\n```bash\nuv init mcp-api-server\r\ncd mcp-api-server\r\nuv add \"mcp[cli]\"\n```\n\n### Installation of the MCP\n\n```bash\nmcp install mi_script.py\n```\n\n### Installation with .env\n\n```bash\nmcp install mi_script.py -f .env\n```\n\n### Installation of dependencies\n\n```bash\npip install -r requirements.txt\n```\n\n### Environment variables\n\nCreate a `.env` file in the project root to define optional environment variables:\n\n```env\n# .env\r\nAPI_KEY=mi_api_key\r\nAPI_URL=https://miapi.com/consulta\n```\n\n***\n\n## 👷 Quick Start (Quickstart)\n\n### Create the server server.py\n\n```python\nfrom mcp.server.fastmcp import FastMCP\r\nimport httpx\r\n\r\nmcp = FastMCP(\"API Wrapper\")\r\n\r\n@mcp.tool(description=\"Consulta una API externa\")\r\nasync def consultar_api(param: str) -> str:\r\n \"\"\"Consulta una API externa con un parámetro y devuelve la respuesta.\"\"\"\r\n async with httpx.AsyncClient() as client:\r\n r = await client.get(f\"https://miapi.com/consulta?param={param}\")\r\n return r.text\n```\n\n### Run locally in dev mode\n\n```bash\nmcp dev server.py\n```\n\n### Run in production mode\n\n```bash\nmcp run server.py\n```\n\nOr with uv:\n\n```bash\nuv run --with mcp[cli] mcp run server.py\n```\n\n***\n\n## 🚀 Integration with Claude/Desktop\n\nLocate claude.json in the Claude/Desktop configuration folder:\n\n* On Windows: %APPDATA%\\Claude\\claude.json\n* On Linux/macOS: ~/.claude/claude.json\n\nExample:\n\n```json\n{\r\n \"mcpServers\": {\r\n \"filesystem\": {\r\n \"command\": \"npx\",\r\n \"args\": [\r\n \"-y\",\r\n \"@modelcontextprotocol/server-filesystem\",\r\n \"/codigo/backend-curso-inkor/proyectos_memes\"\r\n ]\r\n },\r\n \"Demo\": {\r\n \"command\": \"uv\",\r\n \"args\": [\r\n \"run\",\r\n \"--with\",\r\n \"mcp[cli]\",\r\n \"mcp\",\r\n \"run\",\r\n \"C:\\\\codigo\\\\backend-curso-inkor\\\\MCP\\\\server.py\"\r\n ]\r\n }\r\n }\r\n}\n```\n\n***\n\n## 🤖 Use within Claude/Desktop\n\nYou can ask the model:\n\n> Use the consult\\_api tool with the \"ping\" parameter\n\nAnd the model will use your MCP server to make a real-time HTTP call.\n\n***\n\n## 🎁 Bonus: Tools Extension\n\n```python\n@mcp.tool()\r\nasync def traducir(texto: str, lang: str) -> str:\r\n return f\"Traducido: {texto} → {lang}\"\n```\n\n***\n\n## 🔍 Resources\n\n* Official MCP documentation: \n* Python SDK repository: \n\n***\n\n✅ Made with love and httpx 🚀","English","en-US",{"_27":46,"_31":49,"_36":50},{"_29":40,"_31":47,"_33":48},"MCP Python Server — API Wrapper","# MCP Python Server — API Wrapper\r\n\r\nEste proyecto crea un servidor MCP en Python que expone una herramienta para consultar una API externa. Compatible con Claude Desktop o ChatGPT Desktop que soporten el Model Context Protocol (MCP).\r\n\r\n## ✨ Características\r\n\r\n- Exposición de una herramienta (tool) vía MCP\r\n- Consulta HTTP a una API externa\r\n- Integración directa con Claude/Desktop vía claude.json\r\n\r\n---\r\n\r\n## 🚀 Requisitos\r\n\r\n- Python 3.9+\r\n- mcp[cli] (instalable vía pip o uv)\r\n- Claude o ChatGPT Desktop (con soporte MCP)\r\n\r\n---\r\n\r\n## 📁 Estructura del proyecto\r\n\r\n```\r\n.\r\n├── servidores/profile.py # Servidor MCP con herramientas para interactuar con mi backend del curriculum.\r\n├── server.py # Servidor MCP con herramienta \"consultar_api\".\r\n├── .env # Variables opcionales para auth/API.\r\n├── claude.json # Config. MCP para integrarlo directamente.\r\n└── README.md # Este documento.\r\n```\r\n\r\n---\r\n\r\n## ⚙️ Instalación\r\n\r\n### Con pip\r\n\r\n```bash\r\npip install \"mcp[cli]\"\r\n```\r\n\r\n### Con uv (recomendado)\r\n\r\n```bash\r\nuv init mcp-api-server\r\ncd mcp-api-server\r\nuv add \"mcp[cli]\"\r\n```\r\n\r\n### Instación del MCP\r\n\r\n```bash\r\nmcp install mi_script.py\r\n```\r\n\r\n### Inatalación con .env\r\n\r\n```bash\r\nmcp install mi_script.py -f .env\r\n```\r\n\r\n### Instalación de dependencias\r\n\r\n```bash\r\npip install -r requirements.txt\r\n```\r\n\r\n### Variables de entorno\r\n\r\nCrea un archivo `.env` en la raíz del proyecto para definir variables de entorno opcionales:\r\n\r\n```env\r\n# .env\r\nAPI_KEY=mi_api_key\r\nAPI_URL=https://miapi.com/consulta\r\n```\r\n\r\n---\r\n\r\n## 👷 Rápido Inicio (Quickstart)\r\n\r\n### Crear el servidor server.py\r\n\r\n```python\r\nfrom mcp.server.fastmcp import FastMCP\r\nimport httpx\r\n\r\nmcp = FastMCP(\"API Wrapper\")\r\n\r\n@mcp.tool(description=\"Consulta una API externa\")\r\nasync def consultar_api(param: str) -> str:\r\n \"\"\"Consulta una API externa con un parámetro y devuelve la respuesta.\"\"\"\r\n async with httpx.AsyncClient() as client:\r\n r = await client.get(f\"https://miapi.com/consulta?param={param}\")\r\n return r.text\r\n```\r\n\r\n### Ejecutar localmente en modo dev\r\n\r\n```bash\r\nmcp dev server.py\r\n```\r\n\r\n### Ejecutar en modo producción\r\n\r\n```bash\r\nmcp run server.py\r\n```\r\n\r\nO con uv:\r\n\r\n```bash\r\nuv run --with mcp[cli] mcp run server.py\r\n```\r\n\r\n---\r\n\r\n## 🚀 Integración con Claude/Desktop\r\n\r\nUbica claude.json en la carpeta de configuración de Claude/Desktop:\r\n\r\n- En Windows: %APPDATA%\\Claude\\claude.json\r\n- En Linux/macOS: ~/.claude/claude.json\r\n\r\nEjemplo:\r\n\r\n```json\r\n{\r\n \"mcpServers\": {\r\n \"filesystem\": {\r\n \"command\": \"npx\",\r\n \"args\": [\r\n \"-y\",\r\n \"@modelcontextprotocol/server-filesystem\",\r\n \"/codigo/backend-curso-inkor/proyectos_memes\"\r\n ]\r\n },\r\n \"Demo\": {\r\n \"command\": \"uv\",\r\n \"args\": [\r\n \"run\",\r\n \"--with\",\r\n \"mcp[cli]\",\r\n \"mcp\",\r\n \"run\",\r\n \"C:\\\\codigo\\\\backend-curso-inkor\\\\MCP\\\\server.py\"\r\n ]\r\n }\r\n }\r\n}\r\n```\r\n\r\n---\r\n\r\n## 🤖 Uso dentro de Claude/Desktop\r\n\r\nPuedes pedirle al modelo:\r\n\r\n> Usa la herramienta consultar_api con el parámetro \"ping\"\r\n\r\nY el modelo usará tu servidor MCP para hacer una llamada HTTP en tiempo real.\r\n\r\n---\r\n\r\n## 🎁 Bonus: extensión de herramientas\r\n\r\n```python\r\n@mcp.tool()\r\nasync def traducir(texto: str, lang: str) -> str:\r\n return f\"Traducido: {texto} → {lang}\"\r\n```\r\n\r\n---\r\n\r\n## 🔍 Recursos\r\n\r\n- Documentación oficial MCP: https://docs.mcp.run/\r\n- Repositorio SDK Python: https://github.com/modelcontextprotocol/mcp\r\n\r\n---\r\n\r\n✅ Hecho con amor y httpx 🚀\r\n","Spanish","es-ES",{"_27":52,"_31":56,"_36":57},{"_29":53,"_31":54,"_33":55},"Claude Desktop および ChatGPT Desktop と互換性のある、外部 API をクエリするためのツールを公開するモデルコンテキストプロトコルを実装する Python サーバー。","MCP Python サーバー - API ラッパー","# MCP Python サーバー - API ラッパー\n\nこのプロジェクトでは、外部 API をクエリするためのツールを公開する Python で MCP サーバーを作成します。モデルコンテキストプロトコル (MCP) をサポートする Claude Desktop または ChatGPT Desktop と互換性があります。\n\n## ✨ 特徴\n\n* MCP経由でツールを公開する\n* 外部 API への HTTP クエリ\n* claude.json 経由で Claude/Desktop と直接統合\n\n***\n\n## 🚀 要件\n\n* Python 3.9以上\n* mcp\\[cli] (pipまたはuv経由でインストール可能)\n* Claude または ChatGPT Desktop（MCP サポート付き）\n\n***\n\n## 📁 プロジェクト構造\n\n```\n.\r\n├── servidores/profile.py # Servidor MCP con herramientas para interactuar con mi backend del curriculum.\r\n├── server.py # Servidor MCP con herramienta \"consultar_api\".\r\n├── .env # Variables opcionales para auth/API.\r\n├── claude.json # Config. MCP para integrarlo directamente.\r\n└── README.md # Este documento.\n```\n\n***\n\n## ⚙️ インストール\n\n### ピップ付き\n\n```bash\npip install \"mcp[cli]\"\n```\n\n### UV付き（推奨）\n\n```bash\nuv init mcp-api-server\r\ncd mcp-api-server\r\nuv add \"mcp[cli]\"\n```\n\n### MCPのインストール\n\n```bash\nmcp install mi_script.py\n```\n\n### .env によるインストール\n\n```bash\nmcp install mi_script.py -f .env\n```\n\n### 依存関係のインストール\n\n```bash\npip install -r requirements.txt\n```\n\n### 環境変数\n\nオプションの環境変数を定義するには、プロジェクトルートに`.env`ファイルを作成します。\n\n```env\n# .env\r\nAPI_KEY=mi_api_key\r\nAPI_URL=https://miapi.com/consulta\n```\n\n***\n\n## 👷 クイックスタート（クイックスタート）\n\n### サーバーを作成する server.py\n\n```python\nfrom mcp.server.fastmcp import FastMCP\r\nimport httpx\r\n\r\nmcp = FastMCP(\"API Wrapper\")\r\n\r\n@mcp.tool(description=\"Consulta una API externa\")\r\nasync def consultar_api(param: str) -> str:\r\n \"\"\"Consulta una API externa con un parámetro y devuelve la respuesta.\"\"\"\r\n async with httpx.AsyncClient() as client:\r\n r = await client.get(f\"https://miapi.com/consulta?param={param}\")\r\n return r.text\n```\n\n### 開発モードでローカルに実行する\n\n```bash\nmcp dev server.py\n```\n\n### 本番環境で実行\n\n```bash\nmcp run server.py\n```\n\nまたはUVの場合:\n\n```bash\nuv run --with mcp[cli] mcp run server.py\n```\n\n***\n\n## 🚀 Claude/Desktop との統合\n\nClaude/Desktop 構成フォルダで claude.json を見つけます。\n\n* Windowsの場合: %APPDATA%\\Claude\\claude.json\n* Linux/macOSの場合: ~/.claude/claude.json\n\n例：\n\n```json\n{\r\n \"mcpServers\": {\r\n \"filesystem\": {\r\n \"command\": \"npx\",\r\n \"args\": [\r\n \"-y\",\r\n \"@modelcontextprotocol/server-filesystem\",\r\n \"/codigo/backend-curso-inkor/proyectos_memes\"\r\n ]\r\n },\r\n \"Demo\": {\r\n \"command\": \"uv\",\r\n \"args\": [\r\n \"run\",\r\n \"--with\",\r\n \"mcp[cli]\",\r\n \"mcp\",\r\n \"run\",\r\n \"C:\\\\codigo\\\\backend-curso-inkor\\\\MCP\\\\server.py\"\r\n ]\r\n }\r\n }\r\n}\n```\n\n***\n\n## 🤖 Claude/デスクトップ内で使用\n\nモデルに次の質問をすることができます:\n\n> 「ping」パラメータを指定したconsult\\_apiツールを使用する\n\nそして、モデルは MCP サーバーを使用してリアルタイムの HTTP 呼び出しを行います。\n\n***\n\n## 🎁 ボーナス: ツール拡張機能\n\n```python\n@mcp.tool()\r\nasync def traducir(texto: str, lang: str) -> str:\r\n return f\"Traducido: {texto} → {lang}\"\n```\n\n***\n\n## 🔍 リソース\n\n* 公式 MCP ドキュメント: \n* Python SDK リポジトリ: \n\n***\n\n✅ 愛と httpx で作りました 🚀","Japanese","ja-JP",{"_27":59,"_31":63,"_36":64},{"_29":60,"_31":61,"_33":62},"Claude Desktop 및 ChatGPT Desktop과 호환되는 외부 API를 쿼리하기 위한 도구를 제공하는 모델 컨텍스트 프로토콜을 구현한 Python 서버입니다.","MCP Python 서버—API 래퍼","# MCP Python 서버—API 래퍼\n\n이 프로젝트는 외부 API를 쿼리하는 도구를 제공하는 Python으로 MCP 서버를 만듭니다. MCP(Model Context Protocol)를 지원하는 Claude Desktop 또는 ChatGPT Desktop과 호환됩니다.\n\n## ✨ 특징\n\n* MCP를 통한 도구 노출\n* 외부 API에 대한 HTTP 쿼리\n* claude.json을 통해 Claude/Desktop과 직접 통합\n\n***\n\n## 🚀 요구 사항\n\n* 파이썬 3.9 이상\n* mcp\\[cli] (pip 또는 uv를 통해 설치 가능)\n* Claude 또는 ChatGPT 데스크톱(MCP 지원 포함)\n\n***\n\n## 📁 프로젝트 구조\n\n지엑스피1\n\n***\n\n## ⚙️ 설치\n\n### 피프와 함께\n\n```bash\npip install \"mcp[cli]\"\n```\n\n### UV 포함(추천)\n\n```bash\nuv init mcp-api-server\r\ncd mcp-api-server\r\nuv add \"mcp[cli]\"\n```\n\n### MCP 설치\n\n```bash\nmcp install mi_script.py\n```\n\n### .env로 설치\n\n```bash\nmcp install mi_script.py -f .env\n```\n\n### 종속성 설치\n\n```bash\npip install -r requirements.txt\n```\n\n### 환경 변수\n\n프로젝트 루트에 `.env` 파일을 만들어 선택적 환경 변수를 정의합니다.\n\n```env\n# .env\r\nAPI_KEY=mi_api_key\r\nAPI_URL=https://miapi.com/consulta\n```\n\n***\n\n## 👷 빠른 시작(Quickstart)\n\n### 서버 server.py를 생성합니다.\n\n```python\nfrom mcp.server.fastmcp import FastMCP\r\nimport httpx\r\n\r\nmcp = FastMCP(\"API Wrapper\")\r\n\r\n@mcp.tool(description=\"Consulta una API externa\")\r\nasync def consultar_api(param: str) -> str:\r\n \"\"\"Consulta una API externa con un parámetro y devuelve la respuesta.\"\"\"\r\n async with httpx.AsyncClient() as client:\r\n r = await client.get(f\"https://miapi.com/consulta?param={param}\")\r\n return r.text\n```\n\n### 개발 모드에서 로컬로 실행\n\n```bash\nmcp dev server.py\n```\n\n### 프로덕션 모드에서 실행\n\n```bash\nmcp run server.py\n```\n\n또는 uv를 사용하여:\n\n```bash\nuv run --with mcp[cli] mcp run server.py\n```\n\n***\n\n## 🚀 Claude/Desktop과 통합\n\nClaude/Desktop 구성 폴더에서 claude.json을 찾으세요.\n\n* Windows의 경우: %APPDATA%\\Claude\\claude.json\n* Linux/macOS: ~/.claude/claude.json\n\n예:\n\n```json\n{\r\n \"mcpServers\": {\r\n \"filesystem\": {\r\n \"command\": \"npx\",\r\n \"args\": [\r\n \"-y\",\r\n \"@modelcontextprotocol/server-filesystem\",\r\n \"/codigo/backend-curso-inkor/proyectos_memes\"\r\n ]\r\n },\r\n \"Demo\": {\r\n \"command\": \"uv\",\r\n \"args\": [\r\n \"run\",\r\n \"--with\",\r\n \"mcp[cli]\",\r\n \"mcp\",\r\n \"run\",\r\n \"C:\\\\codigo\\\\backend-curso-inkor\\\\MCP\\\\server.py\"\r\n ]\r\n }\r\n }\r\n}\n```\n\n***\n\n## 🤖 Claude/Desktop 내에서 사용하세요\n\n모델에게 다음과 같이 질문할 수 있습니다.\n\n> \"ping\" 매개변수와 함께 consult\\_api 도구를 사용하세요.\n\n그리고 모델은 MCP 서버를 사용하여 실시간 HTTP 호출을 수행합니다.\n\n***\n\n## 🎁 보너스: 도구 확장\n\n```python\n@mcp.tool()\r\nasync def traducir(texto: str, lang: str) -> str:\r\n return f\"Traducido: {texto} → {lang}\"\n```\n\n***\n\n## 🔍 리소스\n\n* 공식 MCP 문서: \n* Python SDK 저장소: \n\n***\n\n✅ 사랑과 httpx로 만들었습니다 🚀","Korean","ko-KR",{"_27":66,"_31":70,"_36":71},{"_29":67,"_31":68,"_33":69},"Сервер Python, реализующий протокол контекста модели, который предоставляет инструменты для запросов к внешним API, совместимый с Claude Desktop и ChatGPT Desktop.","MCP Python Server — API-оболочка","# MCP Python Server — API-оболочка\n\nВ этом проекте создается MCP-сервер на Python, который предоставляет инструмент для запросов к внешнему API. Совместимо с Claude Desktop или ChatGPT Desktop, которые поддерживают протокол контекста модели (MCP).\n\n## ✨ Особенности\n\n* Демонстрация инструмента через MCP\n* HTTP-запрос к внешнему API\n* Прямая интеграция с Claude/Desktop через claude.json\n\n***\n\n## 🚀 Требования\n\n* Питон 3.9+\n* mcp\\[cli] (устанавливается через pip или uv)\n* Claude или ChatGPT Desktop (с поддержкой MCP)\n\n***\n\n## 📁 Структура проекта\n\n```\n.\r\n├── servidores/profile.py # Servidor MCP con herramientas para interactuar con mi backend del curriculum.\r\n├── server.py # Servidor MCP con herramienta \"consultar_api\".\r\n├── .env # Variables opcionales para auth/API.\r\n├── claude.json # Config. MCP para integrarlo directamente.\r\n└── README.md # Este documento.\n```\n\n***\n\n## ⚙️ Установка\n\n### С пипом\n\n```bash\npip install \"mcp[cli]\"\n```\n\n### С УФ (рекомендуется)\n\n```bash\nuv init mcp-api-server\r\ncd mcp-api-server\r\nuv add \"mcp[cli]\"\n```\n\n### Установка МКП\n\n```bash\nmcp install mi_script.py\n```\n\n### Установка с .env\n\n```bash\nmcp install mi_script.py -f .env\n```\n\n### Установка зависимостей\n\n```bash\npip install -r requirements.txt\n```\n\n### Переменные среды\n\nСоздайте файл `.env` в корне проекта для определения необязательных переменных среды:\n\n```env\n# .env\r\nAPI_KEY=mi_api_key\r\nAPI_URL=https://miapi.com/consulta\n```\n\n***\n\n## 👷 Быстрый старт (Quickstart)\n\n### Создайте сервер server.py\n\n```python\nfrom mcp.server.fastmcp import FastMCP\r\nimport httpx\r\n\r\nmcp = FastMCP(\"API Wrapper\")\r\n\r\n@mcp.tool(description=\"Consulta una API externa\")\r\nasync def consultar_api(param: str) -> str:\r\n \"\"\"Consulta una API externa con un parámetro y devuelve la respuesta.\"\"\"\r\n async with httpx.AsyncClient() as client:\r\n r = await client.get(f\"https://miapi.com/consulta?param={param}\")\r\n return r.text\n```\n\n### Запустить локально в режиме разработки\n\n```bash\nmcp dev server.py\n```\n\n### Запуск в производственном режиме\n\n```bash\nmcp run server.py\n```\n\nИли с помощью uv:\n\n```bash\nuv run --with mcp[cli] mcp run server.py\n```\n\n***\n\n## 🚀 Интеграция с Claude/Desktop\n\nНайдите claude.json в папке конфигурации Claude/Desktop:\n\n* В Windows: %APPDATA%\\Claude\\claude.json\n* В Linux/macOS: ~/.claude/claude.json\n\nПример:\n\n```json\n{\r\n \"mcpServers\": {\r\n \"filesystem\": {\r\n \"command\": \"npx\",\r\n \"args\": [\r\n \"-y\",\r\n \"@modelcontextprotocol/server-filesystem\",\r\n \"/codigo/backend-curso-inkor/proyectos_memes\"\r\n ]\r\n },\r\n \"Demo\": {\r\n \"command\": \"uv\",\r\n \"args\": [\r\n \"run\",\r\n \"--with\",\r\n \"mcp[cli]\",\r\n \"mcp\",\r\n \"run\",\r\n \"C:\\\\codigo\\\\backend-curso-inkor\\\\MCP\\\\server.py\"\r\n ]\r\n }\r\n }\r\n}\n```\n\n***\n\n## 🤖 Использовать в Claude/Desktop\n\nВы можете задать вопрос модели:\n\n> Используйте инструмент consult\\_api с параметром «ping»\n\nА модель будет использовать ваш MCP-сервер для совершения HTTP-вызовов в реальном времени.\n\n***\n\n## 🎁 Бонус: Расширение инструментов\n\n```python\n@mcp.tool()\r\nasync def traducir(texto: str, lang: str) -> str:\r\n return f\"Traducido: {texto} → {lang}\"\n```\n\n***\n\n## 🔍 Ресурсы\n\n* Официальная документация MCP: \n* Репозиторий Python SDK: \n\n***\n\n✅ Сделано с любовью и httpx 🚀","Russian","ru-RU",{"_27":73,"_31":77,"_36":78},{"_29":74,"_31":75,"_33":76},"实现模型上下文协议的 Python 服务器，它公开用于查询外部 API 的工具，与 Claude Desktop 和 ChatGPT Desktop 兼容。","MCP Python 服务器—API 包装器","# MCP Python 服务器—API 包装器\n\n该项目用 Python 创建了一个 MCP 服务器，它公开了一个用于查询外部 API 的工具。与支持模型上下文协议 (MCP) 的 Claude Desktop 或 ChatGPT Desktop 兼容。\n\n## ✨ 特点\n\n* 通过 MCP 公开工具\n* 对外部 API 的 HTTP 查询\n* 通过 claude.json 直接与 Claude/Desktop 集成\n\n***\n\n## 🚀 要求\n\n* Python 3.9+\n* mcp\\[cli]（可通过 pip 或 uv 安装）\n* Claude 或 ChatGPT 桌面版（支持 MCP）\n\n***\n\n## 📁 项目结构\n\n```\n.\r\n├── servidores/profile.py # Servidor MCP con herramientas para interactuar con mi backend del curriculum.\r\n├── server.py # Servidor MCP con herramienta \"consultar_api\".\r\n├── .env # Variables opcionales para auth/API.\r\n├── claude.json # Config. MCP para integrarlo directamente.\r\n└── README.md # Este documento.\n```\n\n***\n\n## ⚙️ 安装\n\n### 使用 pip\n\n```bash\npip install \"mcp[cli]\"\n```\n\n### 带紫外线（推荐）\n\n```bash\nuv init mcp-api-server\r\ncd mcp-api-server\r\nuv add \"mcp[cli]\"\n```\n\n### MCP 的安装\n\n```bash\nmcp install mi_script.py\n```\n\n### 使用 .env 安装\n\n```bash\nmcp install mi_script.py -f .env\n```\n\n### 安装依赖项\n\n```bash\npip install -r requirements.txt\n```\n\n### 环境变量\n\n在项目根目录中创建一个`.env`文件来定义可选的环境变量：\n\n```env\n# .env\r\nAPI_KEY=mi_api_key\r\nAPI_URL=https://miapi.com/consulta\n```\n\n***\n\n## 👷 快速入门（Quickstart）\n\n### 创建服务器server.py\n\n```python\nfrom mcp.server.fastmcp import FastMCP\r\nimport httpx\r\n\r\nmcp = FastMCP(\"API Wrapper\")\r\n\r\n@mcp.tool(description=\"Consulta una API externa\")\r\nasync def consultar_api(param: str) -> str:\r\n \"\"\"Consulta una API externa con un parámetro y devuelve la respuesta.\"\"\"\r\n async with httpx.AsyncClient() as client:\r\n r = await client.get(f\"https://miapi.com/consulta?param={param}\")\r\n return r.text\n```\n\n### 在开发模式下本地运行\n\n```bash\nmcp dev server.py\n```\n\n### 以生产模式运行\n\n```bash\nmcp run server.py\n```\n\n或者使用 uv：\n\n```bash\nuv run --with mcp[cli] mcp run server.py\n```\n\n***\n\n## 🚀 与 Claude/Desktop 集成\n\n在 Claude/Desktop 配置文件夹中找到 claude.json：\n\n* 在 Windows 上：%APPDATA%\\Claude\\claude.json\n* 在 Linux/macOS 上：~/.claude/claude.json\n\n例子：\n\n```json\n{\r\n \"mcpServers\": {\r\n \"filesystem\": {\r\n \"command\": \"npx\",\r\n \"args\": [\r\n \"-y\",\r\n \"@modelcontextprotocol/server-filesystem\",\r\n \"/codigo/backend-curso-inkor/proyectos_memes\"\r\n ]\r\n },\r\n \"Demo\": {\r\n \"command\": \"uv\",\r\n \"args\": [\r\n \"run\",\r\n \"--with\",\r\n \"mcp[cli]\",\r\n \"mcp\",\r\n \"run\",\r\n \"C:\\\\codigo\\\\backend-curso-inkor\\\\MCP\\\\server.py\"\r\n ]\r\n }\r\n }\r\n}\n```\n\n***\n\n## 🤖 在 Claude/Desktop 中使用\n\n你可以问模特：\n\n> 使用带有“ping”参数的consult\\_api工具\n\n并且该模型将使用您的 MCP 服务器进行实时 HTTP 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