[{"_1":2,"_323":-5,"_324":-5},"loaderData",{"_3":4,"_22":23,"_24":25,"_266":267},"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",7058884,"membership","referenceId","01971406-43e3-74e8-b880-2f000258007a","userAccount","routes/_public/_layout",{},"routes/_public/mcp/servers/~namespace/~slug/_pages/_layout",{"_26":27,"_81":-5,"_82":40,"_29":83,"_184":185,"_265":133},"availableLocales",[28,40,46,53,60,67,74],{"_29":30,"_33":37,"_38":39},"mcpServer",{"_31":32,"_33":34,"_35":36},"description","Ein auf Cloudflare Workers basierender Server, der mithilfe von WebforAI sauberen, formatierten Text aus Webseiten extrahiert und ihn über das Model Context Protocol für KI-Modelle zugänglich macht.","name","WebforAI Text Extractor MCP Server","readme","# WebforAI Text Extractor - MCP Server\n\nEin auf Cloudflare Workers basierender Model Context Protocol (MCP)-Server, der mithilfe von [WebforAI](https://webforai.dev/) Klartext aus Webseiten extrahiert.\n\n## 🌟 Was ist WebforAI?\n\n[WebforAI](https://webforai.dev/) ist eine leistungsstarke Bibliothek, die Webinhalte für KI-Modelle zugänglich macht. Sie bietet Tools für:\n\n* Konvertieren Sie HTML in sauberes, strukturiertes Markdown\n* Extrahieren Sie aussagekräftige Inhalte aus Webseiten\n* Tabellen, Links und Bilder intelligent verarbeiten\n* Bereiten Sie Webinhalte für die KI-Nutzung vor\n\nDieser MCP-Server nutzt die Funktionen von WebforAI, um Klartext aus jeder Webseiten-URL zu extrahieren, wodurch es einfach wird, Webinhalte über das Model Context Protocol in KI-Modelle einzuspeisen.\n\n## 📋 Funktionen\n\n* **Einfache API** : Extrahieren Sie Text von jeder Webseite mit einem einzigen API-Aufruf\n* **Saubere Ausgabe** : Erhalten Sie gut formatierten Markdown-Text ohne HTML-Rauschen\n* **Fehlerbehandlung** : Robuste Fehlerbehandlung für fehlgeschlagene Anfragen\n* **Cloudflare Workers** : Serverlose Bereitstellung mit globaler Verteilung\n* **MCP-kompatibel** : Funktioniert mit jedem MCP-Client wie Claude Desktop oder Cloudflare AI Playground\n\n## 🚀 Erste Schritte\n\n### Bereitstellung für Cloudflare Workers\n\n[![Für Worker bereitstellen](https://deploy.workers.cloudflare.com/button)](https://deploy.workers.cloudflare.com/?url=https://github.com/yutakobayashidev/webforai-mcp-server)\n\nDadurch wird Ihr MCP-Server unter einer URL wie `webforai-mcp-server..workers.dev/sse` bereitgestellt.\n\n### Lokale Entwicklung\n\n1. Klonen Sie dieses Repository:\n\n ```bash\n git clone https://github.com/yutakobayashidev/webforai-mcp-server.git\n cd webforai-mcp-server\n ```\n\n2. Installieren Sie Abhängigkeiten:\n\n ```bash\n pnpm install\n ```\n\n3. Starten Sie den Entwicklungsserver:\n\n ```bash\n pnpm dev\n ```\n\n4. Ihr Server ist unter `http://localhost:8787` verfügbar.\n\n## 🔧 Verwenden des Textextraktionstools\n\nDas Tool `extractWebPageText` akzeptiert eine URL zu einer Webseite und gibt den extrahierten Textinhalt im Markdown-Format zurück:\n\n```json\n{\n \"url\": \"https://example.com/page\"\n}\n```\n\nDie Antwort enthält den extrahierten Text im Markdown-Format mit:\n\n* In Klartext konvertierte Links\n* In Klartext konvertierte Tabellen\n* Bilder ausgeblendet\n\n## 🔌 Verbindung zu MCP-Clients herstellen\n\n### Cloudflare KI-Spielplatz\n\n1. Zum [Cloudflare AI Playground](https://playground.ai.cloudflare.com/)\n2. Geben Sie die URL Ihres bereitgestellten MCP-Servers ein ( `webforai-mcp-server..workers.dev/sse` ).\n3. Sie können Ihr Textextraktionstool jetzt direkt vom Spielplatz aus verwenden!\n\n### Claude Desktop\n\nSo stellen Sie von Claude Desktop aus eine Verbindung zu Ihrem MCP-Server her:\n\n1. Folgen Sie [dem Quickstart von Anthropic](https://modelcontextprotocol.io/quickstart/user)\n2. Gehen Sie in Claude Desktop zu Einstellungen > Entwickler > Konfiguration bearbeiten\n3. Update mit dieser Konfiguration:\n\n```json\n{\n \"mcpServers\": {\n \"webforaiExtractor\": {\n \"command\": \"npx\",\n \"args\": [\n \"mcp-remote\",\n \"http://localhost:8787/sse\" // or webforai-mcp-server.your-account.workers.dev/sse\n ]\n }\n }\n}\n```\n\n4. Starten Sie Claude neu und Sie sollten sehen, dass das Textextraktionstool verfügbar wird\n\n## 📚 Mehr erfahren\n\n* [WebforAI-Dokumentation](https://webforai.dev/)\n* [Modellkontextprotokoll](https://modelcontextprotocol.io/)\n* [Cloudflare-Mitarbeiter](https://developers.cloudflare.com/workers/)\n* [Cloudflare KI](https://developers.cloudflare.com/ai/)\n\n## 📄 Lizenz\n\nMIT","German","tag","de-DE",{"_29":41,"_33":44,"_38":45},{"_31":42,"_33":34,"_35":43},"A Cloudflare Workers-based server that extracts clean, formatted text from web pages using WebforAI and makes it accessible to AI models through the Model Context Protocol.","# WebforAI Text Extractor - MCP Server\n\nA Cloudflare Workers-based Model Context Protocol (MCP) server that extracts plain text from web pages using [WebforAI](https://webforai.dev/).\n\n## 🌟 What is WebforAI?\n\n[WebforAI](https://webforai.dev/) is a powerful library designed to make web content accessible to AI models. It provides tools to:\n\n- Convert HTML to clean, structured Markdown\n- Extract meaningful content from web pages\n- Process tables, links, and images intelligently\n- Prepare web content for AI consumption\n\nThis MCP server leverages WebforAI's capabilities to extract plain text from any web page URL, making it easy to feed web content into AI models through the Model Context Protocol.\n\n## 📋 Features\n\n- **Simple API**: Extract text from any web page with a single API call\n- **Clean Output**: Receive well-formatted Markdown text without HTML noise\n- **Error Handling**: Robust error handling for failed requests\n- **Cloudflare Workers**: Serverless deployment with global distribution\n- **MCP Compatible**: Works with any MCP client like Claude Desktop or Cloudflare AI Playground\n\n## 🚀 Getting Started\n\n### Deploy to Cloudflare Workers\n\n[![Deploy to Workers](https://deploy.workers.cloudflare.com/button)](https://deploy.workers.cloudflare.com/?url=https://github.com/yutakobayashidev/webforai-mcp-server)\n\nThis will deploy your MCP server to a URL like: `webforai-mcp-server..workers.dev/sse`\n\n### Local Development\n\n1. Clone this repository:\n ```bash\n git clone https://github.com/yutakobayashidev/webforai-mcp-server.git\n cd webforai-mcp-server\n ```\n\n2. Install dependencies:\n ```bash\n pnpm install\n ```\n\n3. Start the development server:\n ```bash\n pnpm dev\n ```\n\n4. Your server will be available at `http://localhost:8787`\n\n## 🔧 Using the Text Extraction Tool\n\nThe `extractWebPageText` tool accepts a URL to a web page and returns the extracted text content in markdown format:\n\n```json\n{\n \"url\": \"https://example.com/page\"\n}\n```\n\nThe response will contain the extracted text in Markdown format, with:\n- Links converted to plain text\n- Tables converted to plain text\n- Images hidden\n\n## 🔌 Connecting to MCP Clients\n\n### Cloudflare AI Playground\n\n1. Go to [Cloudflare AI Playground](https://playground.ai.cloudflare.com/)\n2. Enter your deployed MCP server URL (`webforai-mcp-server..workers.dev/sse`)\n3. You can now use your text extraction tool directly from the playground!\n\n### Claude Desktop\n\nTo connect to your MCP server from Claude Desktop:\n\n1. Follow [Anthropic's Quickstart](https://modelcontextprotocol.io/quickstart/user)\n2. In Claude Desktop go to Settings > Developer > Edit Config\n3. Update with this configuration:\n\n```json\n{\n \"mcpServers\": {\n \"webforaiExtractor\": {\n \"command\": \"npx\",\n \"args\": [\n \"mcp-remote\",\n \"http://localhost:8787/sse\" // or webforai-mcp-server.your-account.workers.dev/sse\n ]\n }\n }\n}\n```\n\n4. Restart Claude and you should see the text extraction tool become available\n\n## 📚 Learn More\n\n- [WebforAI Documentation](https://webforai.dev/)\n- [Model Context Protocol](https://modelcontextprotocol.io/)\n- [Cloudflare Workers](https://developers.cloudflare.com/workers/)\n- [Cloudflare AI](https://developers.cloudflare.com/ai/)\n\n## 📄 License\n\nMIT \n","English","en-US",{"_29":47,"_33":51,"_38":52},{"_31":48,"_33":49,"_35":50},"Un servidor basado en Cloudflare Workers que extrae texto limpio y formateado de páginas web mediante WebforAI y lo hace accesible a los modelos de IA a través del Protocolo de contexto de modelo.","Servidor MCP del extractor de texto WebforAI","# Extractor de texto WebforAI - Servidor MCP\n\nUn servidor de Protocolo de contexto de modelo (MCP) basado en Cloudflare Workers que extrae texto sin formato de páginas web mediante [WebforAI](https://webforai.dev/) .\n\n## 🌟¿Qué es WebforAI?\n\n[WebforAI](https://webforai.dev/) es una potente biblioteca diseñada para que el contenido web sea accesible para los modelos de IA. Proporciona herramientas para:\n\n* Convertir HTML a Markdown limpio y estructurado\n* Extraer contenido significativo de las páginas web\n* Procese tablas, enlaces e imágenes de forma inteligente\n* Preparar contenido web para el consumo de IA\n\nEste servidor MCP aprovecha las capacidades de WebforAI para extraer texto sin formato de la URL de cualquier página web, lo que facilita la introducción de contenido web en los modelos de IA a través del Protocolo de contexto de modelo.\n\n## 📋 Características\n\n* **API simple** : extrae texto de cualquier página web con una sola llamada API\n* **Salida limpia** : Reciba texto Markdown bien formateado sin ruido HTML\n* **Manejo de errores** : Manejo robusto de errores para solicitudes fallidas\n* **Cloudflare Workers** : Implementación sin servidor con distribución global\n* **Compatible con MCP** : funciona con cualquier cliente MCP como Claude Desktop o Cloudflare AI Playground\n\n## 🚀 Primeros pasos\n\n### Implementar en Cloudflare Workers\n\n[![Implementar en trabajadores](https://deploy.workers.cloudflare.com/button)](https://deploy.workers.cloudflare.com/?url=https://github.com/yutakobayashidev/webforai-mcp-server)\n\nEsto implementará su servidor MCP en una URL como: `webforai-mcp-server..workers.dev/sse`\n\n### Desarrollo local\n\n1. Clonar este repositorio:\n\n ```bash\n git clone https://github.com/yutakobayashidev/webforai-mcp-server.git\n cd webforai-mcp-server\n ```\n\n2. Instalar dependencias:\n\n ```bash\n pnpm install\n ```\n\n3. Inicie el servidor de desarrollo:\n\n ```bash\n pnpm dev\n ```\n\n4. Su servidor estará disponible en `http://localhost:8787`\n\n## 🔧Usando la herramienta de extracción de texto\n\nLa herramienta `extractWebPageText` acepta una URL a una página web y devuelve el contenido de texto extraído en formato Markdown:\n\n```json\n{\n \"url\": \"https://example.com/page\"\n}\n```\n\nLa respuesta contendrá el texto extraído en formato Markdown, con:\n\n* Enlaces convertidos a texto sin formato\n* Tablas convertidas a texto sin formato\n* Imágenes ocultas\n\n## 🔌 Conexión con clientes MCP\n\n### Zona de juegos de IA de Cloudflare\n\n1. Ir a [Cloudflare AI Playground](https://playground.ai.cloudflare.com/)\n2. Ingrese la URL de su servidor MCP implementado ( `webforai-mcp-server..workers.dev/sse` )\n3. ¡Ahora puedes usar tu herramienta de extracción de texto directamente desde el área de juegos!\n\n### Escritorio de Claude\n\nPara conectarse a su servidor MCP desde Claude Desktop:\n\n1. Siga [la guía de inicio rápido de Anthropic](https://modelcontextprotocol.io/quickstart/user)\n2. En Claude Desktop, vaya a Configuración > Desarrollador > Editar configuración\n3. Actualizar con esta configuración:\n\n```json\n{\n \"mcpServers\": {\n \"webforaiExtractor\": {\n \"command\": \"npx\",\n \"args\": [\n \"mcp-remote\",\n \"http://localhost:8787/sse\" // or webforai-mcp-server.your-account.workers.dev/sse\n ]\n }\n }\n}\n```\n\n4. Reinicie Claude y debería ver que la herramienta de extracción de texto está disponible.\n\n## 📚 Más información\n\n* [Documentación de WebforAI](https://webforai.dev/)\n* [Protocolo de contexto modelo](https://modelcontextprotocol.io/)\n* [Trabajadores de Cloudflare](https://developers.cloudflare.com/workers/)\n* [IA de Cloudflare](https://developers.cloudflare.com/ai/)\n\n## 📄 Licencia\n\nInstituto Tecnológico de Massachusetts (MIT)","Spanish","es-ES",{"_29":54,"_33":58,"_38":59},{"_31":55,"_33":56,"_35":57},"WebforAI を使用して Web ページからクリーンでフォーマットされたテキストを抽出し、モデルコンテキストプロトコルを通じて AI モデルがアクセスできるようにする Cloudflare Workers ベースのサーバー。","WebforAI テキスト抽出 MCP サーバー","# WebforAI テキスト抽出ツール - MCP サーバー\n\n[WebforAI](https://webforai.dev/)を使用して Web ページからプレーンテキストを抽出する Cloudflare Workers ベースの Model Context Protocol (MCP) サーバー。\n\n## 🌟 WebforAIとは何ですか？\n\n[WebforAIは](https://webforai.dev/)、WebコンテンツをAIモデルで利用できるように設計された強力なライブラリです。以下のツールを提供します。\n\n* HTML をクリーンで構造化された Markdown に変換する\n* ウェブページから意味のあるコンテンツを抽出する\n* 表、リンク、画像をインテリジェントに処理する\n* AIによる消費向けにWebコンテンツを準備する\n\nこの MCP サーバーは、WebforAI の機能を活用して任意の Web ページ URL からプレーンテキストを抽出し、モデルコンテキストプロトコルを通じて Web コンテンツを AI モデルに簡単に取り込めるようにします。\n\n## 📋 機能\n\n* **シンプルなAPI** : 1回のAPI呼び出しで任意のWebページからテキストを抽出します\n* **クリーンな出力**: HTMLノイズのない、適切にフォーマットされたMarkdownテキストを受け取ります\n* **エラー処理**: 失敗したリクエストに対する堅牢なエラー処理\n* **Cloudflare Workers** : グローバル分散によるサーバーレスデプロイメント\n* **MCP 互換**: Claude Desktop や Cloudflare AI Playground などのあらゆる MCP クライアントで動作します\n\n## 🚀 はじめに\n\n### Cloudflare Workersへのデプロイ\n\n[![ワーカーに展開](https://deploy.workers.cloudflare.com/button)](https://deploy.workers.cloudflare.com/?url=https://github.com/yutakobayashidev/webforai-mcp-server)\n\nこれにより、MCP サーバーが次のような URL にデプロイされます: `webforai-mcp-server..workers.dev/sse`\n\n### 地域開発\n\n1. このリポジトリをクローンします:\n\n ```bash\n git clone https://github.com/yutakobayashidev/webforai-mcp-server.git\n cd webforai-mcp-server\n ```\n\n2. 依存関係をインストールします:\n\n ```bash\n pnpm install\n ```\n\n3. 開発サーバーを起動します。\n\n ```bash\n pnpm dev\n ```\n\n4. サーバーは`http://localhost:8787`で利用できます。\n\n## 🔧 テキスト抽出ツールの使用\n\n`extractWebPageText`ツールは、Web ページへの URL を受け入れ、抽出したテキストコンテンツをマークダウン形式で返します。\n\n```json\n{\n \"url\": \"https://example.com/page\"\n}\n```\n\n応答には、次の内容を含む、Markdown 形式で抽出されたテキストが含まれます。\n\n* リンクをプレーンテキストに変換\n* 表をプレーンテキストに変換\n* 画像は非表示です\n\n## 🔌 MCP クライアントへの接続\n\n### Cloudflare AIプレイグラウンド\n\n1. [Cloudflare AI Playground](https://playground.ai.cloudflare.com/)へアクセス\n2. デプロイされた MCP サーバーの URL を入力します ( `webforai-mcp-server..workers.dev/sse` )\n3. プレイグラウンドから直接テキスト抽出ツールを使用できるようになりました。\n\n### クロードデスクトップ\n\nClaude Desktop から MCP サーバーに接続するには:\n\n1. [Anthropicのクイックスタート](https://modelcontextprotocol.io/quickstart/user)に従う\n2. Claude Desktopで設定 > 開発者 > 設定の編集に進みます\n3. 次の構成で更新します。\n\n```json\n{\n \"mcpServers\": {\n \"webforaiExtractor\": {\n \"command\": \"npx\",\n \"args\": [\n \"mcp-remote\",\n \"http://localhost:8787/sse\" // or webforai-mcp-server.your-account.workers.dev/sse\n ]\n }\n }\n}\n```\n\n4. Claudeを再起動すると、テキスト抽出ツールが利用可能になります。\n\n## 📚詳細はこちら\n\n* [WebforAIドキュメント](https://webforai.dev/)\n* [モデルコンテキストプロトコル](https://modelcontextprotocol.io/)\n* [Cloudflareワーカー](https://developers.cloudflare.com/workers/)\n* [クラウドフレアAI](https://developers.cloudflare.com/ai/)\n\n## 📄 ライセンス\n\nマサチューセッツ工科大学","Japanese","ja-JP",{"_29":61,"_33":65,"_38":66},{"_31":62,"_33":63,"_35":64},"WebforAI를 사용하여 웹 페이지에서 깔끔하고 형식화된 텍스트를 추출하고 Model Context Protocol을 통해 AI 모델에서 액세스할 수 있도록 하는 Cloudflare Workers 기반 서버입니다.","WebforAI 텍스트 추출기 MCP 서버","# WebforAI 텍스트 추출기 - MCP 서버\n\n[WebforAI를](https://webforai.dev/) 사용하여 웹 페이지에서 일반 텍스트를 추출하는 Cloudflare Workers 기반 MCP(Model Context Protocol) 서버입니다.\n\n## 🌟 WebforAI란 무엇인가요?\n\n[WebforAI는](https://webforai.dev/) AI 모델이 웹 콘텐츠에 접근할 수 있도록 설계된 강력한 라이브러리입니다. 다음과 같은 도구를 제공합니다.\n\n* HTML을 깔끔하고 구조화된 마크다운으로 변환\n* 웹 페이지에서 의미 있는 콘텐츠 추출\n* 테이블, 링크 및 이미지를 지능적으로 처리합니다.\n* AI 소비를 위한 웹 콘텐츠 준비\n\n이 MCP 서버는 WebforAI의 기능을 활용하여 모든 웹 페이지 URL에서 일반 텍스트를 추출하고, Model Context Protocol을 통해 웹 콘텐츠를 AI 모델에 쉽게 공급할 수 있도록 합니다.\n\n## 📋 특징\n\n* **간단한 API** : 단일 API 호출로 모든 웹 페이지에서 텍스트를 추출합니다.\n* **깔끔한 출력** : HTML 노이즈 없이 잘 포맷된 마크다운 텍스트를 받습니다.\n* **오류 처리** : 실패한 요청에 대한 강력한 오류 처리\n* **Cloudflare Workers** : 글로벌 배포를 통한 서버리스 배포\n* **MCP 호환** : Claude Desktop 또는 Cloudflare AI Playground와 같은 모든 MCP 클라이언트와 호환됩니다.\n\n## 🚀 시작하기\n\n### Cloudflare Workers에 배포\n\n[![근로자에게 배포](https://deploy.workers.cloudflare.com/button)](https://deploy.workers.cloudflare.com/?url=https://github.com/yutakobayashidev/webforai-mcp-server)\n\n이렇게 하면 MCP 서버가 `webforai-mcp-server..workers.dev/sse` 와 같은 URL에 배포됩니다.\n\n### 지역 개발\n\n1. 이 저장소를 복제하세요:\n\n 지엑스피1\n\n2. 종속성 설치:\n\n ```bash\n pnpm install\n ```\n\n3. 개발 서버를 시작합니다.\n\n ```bash\n pnpm dev\n ```\n\n4. 귀하의 서버는 `http://localhost:8787` 에서 사용 가능합니다.\n\n## 🔧 텍스트 추출 도구 사용\n\n`extractWebPageText` 도구는 웹 페이지의 URL을 받아서 추출된 텍스트 콘텐츠를 마크다운 형식으로 반환합니다.\n\n```json\n{\n \"url\": \"https://example.com/page\"\n}\n```\n\n응답에는 다음과 같은 Markdown 형식의 추출된 텍스트가 포함됩니다.\n\n* 일반 텍스트로 변환된 링크\n* 일반 텍스트로 변환된 테이블\n* 이미지가 숨겨짐\n\n## 🔌 MCP 클라이언트에 연결\n\n### 클라우드플레어 AI 플레이그라운드\n\n1. [Cloudflare AI Playground](https://playground.ai.cloudflare.com/) 로 이동\n2. 배포된 MCP 서버 URL을 입력하세요( `webforai-mcp-server..workers.dev/sse` )\n3. 이제 플레이그라운드에서 바로 텍스트 추출 도구를 사용할 수 있습니다!\n\n### 클로드 데스크탑\n\nClaude Desktop에서 MCP 서버에 연결하려면:\n\n1. [Anthropic의 빠른 시작을](https://modelcontextprotocol.io/quickstart/user) 따르세요\n2. Claude Desktop에서 설정 > 개발자 > 구성 편집으로 이동합니다.\n3. 다음 구성으로 업데이트:\n\n```json\n{\n \"mcpServers\": {\n \"webforaiExtractor\": {\n \"command\": \"npx\",\n \"args\": [\n \"mcp-remote\",\n \"http://localhost:8787/sse\" // or webforai-mcp-server.your-account.workers.dev/sse\n ]\n }\n }\n}\n```\n\n4. Claude를 다시 시작하면 텍스트 추출 도구가 사용 가능해지는 것을 볼 수 있습니다.\n\n## 📚 자세히 알아보기\n\n* [WebforAI 문서](https://webforai.dev/)\n* [모델 컨텍스트 프로토콜](https://modelcontextprotocol.io/)\n* [클라우드플레어 워커스](https://developers.cloudflare.com/workers/)\n* [클라우드플레어 AI](https://developers.cloudflare.com/ai/)\n\n## 📄 라이센스\n\nMIT","Korean","ko-KR",{"_29":68,"_33":72,"_38":73},{"_31":69,"_33":70,"_35":71},"Сервер на базе Cloudflare Workers, который извлекает чистый, отформатированный текст с веб-страниц с помощью WebforAI и делает его доступным для моделей ИИ через протокол контекста модели.","MCP-сервер извлечения текста WebforAI","# Извлекатель текста WebforAI - сервер MCP\n\nСервер Model Context Protocol (MCP) на базе Cloudflare Workers, который извлекает простой текст из веб-страниц с помощью [WebforAI](https://webforai.dev/) .\n\n## 🌟 Что такое WebforAI?\n\n[WebforAI](https://webforai.dev/) — это мощная библиотека, разработанная для того, чтобы сделать веб-контент доступным для моделей ИИ. Она предоставляет инструменты для:\n\n* Преобразовать HTML в чистый, структурированный Markdown\n* Извлекайте значимый контент из веб-страниц\n* Интеллектуальная обработка таблиц, ссылок и изображений\n* Подготовка веб-контента для потребления ИИ\n\nЭтот сервер MCP использует возможности WebforAI для извлечения простого текста из любого URL-адреса веб-страницы, что упрощает передачу веб-контента в модели ИИ через протокол контекста модели.\n\n## 📋 Особенности\n\n* **Простой API** : извлечение текста с любой веб-страницы с помощью одного вызова API\n* **Чистый вывод** : получение хорошо отформатированного текста Markdown без HTML-шума.\n* **Обработка ошибок** : надежная обработка ошибок для невыполненных запросов.\n* **Cloudflare Workers** : бессерверное развертывание с глобальным распределением\n* **Совместимость с MCP** : работает с любым клиентом MCP, таким как Claude Desktop или Cloudflare AI Playground.\n\n## 🚀 Начало работы\n\n### Развертывание в Cloudflare Workers\n\n[![Развертывание для рабочих](https://deploy.workers.cloudflare.com/button)](https://deploy.workers.cloudflare.com/?url=https://github.com/yutakobayashidev/webforai-mcp-server)\n\nЭто развернет ваш сервер MCP по URL-адресу вида: `webforai-mcp-server..workers.dev/sse`\n\n### Местное развитие\n\n1. Клонируйте этот репозиторий:\n\n ```bash\n git clone https://github.com/yutakobayashidev/webforai-mcp-server.git\n cd webforai-mcp-server\n ```\n\n2. Установите зависимости:\n\n ```bash\n pnpm install\n ```\n\n3. Запустите сервер разработки:\n\n ```bash\n pnpm dev\n ```\n\n4. Ваш сервер будет доступен по адресу `http://localhost:8787`\n\n## 🔧 Использование инструмента извлечения текста\n\nИнструмент `extractWebPageText` принимает URL-адрес веб-страницы и возвращает извлеченное текстовое содержимое в формате markdown:\n\n```json\n{\n \"url\": \"https://example.com/page\"\n}\n```\n\nОтвет будет содержать извлеченный текст в формате Markdown, включая:\n\n* Ссылки преобразованы в обычный текст\n* Таблицы преобразованы в обычный текст\n* Изображения скрыты\n\n## 🔌 Подключение к клиентам MCP\n\n### Площадка для искусственного интеллекта Cloudflare\n\n1. Перейти на [площадку для изучения искусственного интеллекта Cloudflare](https://playground.ai.cloudflare.com/)\n2. Введите URL-адрес развернутого сервера MCP ( `webforai-mcp-server..workers.dev/sse` )\n3. Теперь вы можете использовать инструмент для извлечения текста прямо из игровой площадки!\n\n### Клод Десктоп\n\nЧтобы подключиться к вашему MCP-серверу из Claude Desktop:\n\n1. Следуйте [краткому руководству Anthropic](https://modelcontextprotocol.io/quickstart/user)\n2. В Claude Desktop перейдите в Настройки > Разработчик > Изменить конфигурацию.\n3. Обновите с помощью этой конфигурации:\n\n```json\n{\n \"mcpServers\": {\n \"webforaiExtractor\": {\n \"command\": \"npx\",\n \"args\": [\n \"mcp-remote\",\n \"http://localhost:8787/sse\" // or webforai-mcp-server.your-account.workers.dev/sse\n ]\n }\n }\n}\n```\n\n4. Перезапустите Claude, и вы увидите, что инструмент извлечения текста стал доступен.\n\n## 📚 Узнать больше\n\n* [Документация WebforAI](https://webforai.dev/)\n* [Модель контекстного протокола](https://modelcontextprotocol.io/)\n* [Работники Cloudflare](https://developers.cloudflare.com/workers/)\n* [Искусственный интеллект Cloudflare](https://developers.cloudflare.com/ai/)\n\n## 📄 Лицензия\n\nМассачусетский технологический институт","Russian","ru-RU",{"_29":75,"_33":79,"_38":80},{"_31":76,"_33":77,"_35":78},"基于 Cloudflare Workers 的服务器，使用 WebforAI 从网页中提取干净的格式化文本，并通过模型上下文协议使其可供 AI 模型访问。","WebforAI 文本提取器 MCP 服务器","# WebforAI 文本提取器 - MCP 服务器\n\n基于 Cloudflare Workers 的模型上下文协议 (MCP) 服务器，使用[WebforAI](https://webforai.dev/)从网页中提取纯文本。\n\n## 🌟 WebforAI 是什么？\n\n[WebforAI](https://webforai.dev/)是一个功能强大的库，旨在使 AI 模型能够访问 Web 内容。它提供的工具可以：\n\n* 将 HTML 转换为干净、结构化的 Markdown\n* 从网页中提取有意义的内容\n* 智能处理表格、链接和图像\n* 准备用于 AI 消费的 Web 内容\n\n该 MCP 服务器利用 WebforAI 的功能从任何网页 URL 中提取纯文本，从而可以轻松地通过模型上下文协议将网页内容输入 AI 模型。\n\n## 📋 功能\n\n* **简单的 API** ：通过一次 API 调用从任何网页中提取文本\n* **干净的输出**：接收格式良好的 Markdown 文本，没有 HTML 噪音\n* **错误处理**：对失败的请求进行强大的错误处理\n* **Cloudflare Workers** ：全球分布的无服务器部署\n* **MCP 兼容**：可与任何 MCP 客户端（如 Claude Desktop 或 Cloudflare AI Playground）配合使用\n\n## 🚀 入门\n\n### 部署到 Cloudflare Workers\n\n[![部署至 Workers](https://deploy.workers.cloudflare.com/button)](https://deploy.workers.cloudflare.com/?url=https://github.com/yutakobayashidev/webforai-mcp-server)\n\n这会将您的 MCP 服务器部署到类似这样的 URL： `webforai-mcp-server..workers.dev/sse`\n\n### 本地开发\n\n1. 克隆此存储库：\n\n ```bash\n git clone https://github.com/yutakobayashidev/webforai-mcp-server.git\n cd webforai-mcp-server\n ```\n\n2. 安装依赖项：\n\n ```bash\n pnpm install\n ```\n\n3. 启动开发服务器：\n\n ```bash\n pnpm dev\n ```\n\n4. 您的服务器将通过`http://localhost:8787`访问\n\n## 🔧 使用文本提取工具\n\n`extractWebPageText`工具接受网页的 URL 并以 markdown 格式返回提取的文本内容：\n\n```json\n{\n \"url\": \"https://example.com/page\"\n}\n```\n\n响应将包含 Markdown 格式的提取文本，其中包括：\n\n* 链接转换为纯文本\n* 表格转换为纯文本\n* 隐藏图片\n\n## 🔌 连接到 MCP 客户端\n\n### Cloudflare AI 游乐场\n\n1. 前往[Cloudflare AI Playground](https://playground.ai.cloudflare.com/)\n2. 输入您部署的 MCP 服务器 URL ( `webforai-mcp-server..workers.dev/sse` )\n3. 您现在可以直接从操场使用文本提取工具！\n\n### 克劳德桌面\n\n要从 Claude Desktop 连接到您的 MCP 服务器：\n\n1. 遵循[Anthropic 的快速入门](https://modelcontextprotocol.io/quickstart/user)\n2. 在 Claude Desktop 中，转到“设置”>“开发者”>“编辑配置”\n3. 使用此配置进行更新：\n\n```json\n{\n \"mcpServers\": {\n \"webforaiExtractor\": {\n \"command\": \"npx\",\n \"args\": [\n \"mcp-remote\",\n \"http://localhost:8787/sse\" // or webforai-mcp-server.your-account.workers.dev/sse\n ]\n }\n }\n}\n```\n\n4. 重新启动 Claude，你就会看到文本提取工具可用\n\n## 📚 了解更多\n\n* [WebforAI 文档](https://webforai.dev/)\n* [模型上下文协议](https://modelcontextprotocol.io/)\n* [Cloudflare Workers](https://developers.cloudflare.com/workers/)\n* [Cloudflare 人工智能](https://developers.cloudflare.com/ai/)\n\n## 📄 许可证\n\n麻省理工学院","Chinese","zh-CN","githubUser","locale",{"_84":85,"_86":87,"_13":94,"_101":42,"_102":42,"_103":104,"_107":108,"_130":-5,"_16":131,"_132":133,"_134":135,"_33":34,"_167":121,"_168":-5,"_169":-5,"_170":-5,"_171":-5,"_172":173,"_178":-5,"_142":117,"_179":-5,"_180":-5,"_122":181,"_182":183},"addedAt","2025-05-05T20:02:51.575575857Z","argumentsJsonSchema",{"_88":89,"_90":91,"_92":93},"properties",{},"required",[],"type","object",[95,96,97,98,99,100],"category:web-scraping","category:rag-systems","environment:network","hosting:remote-capable","language:typescript","license_grade:a","descriptionMarkdown","descriptionPlainText","githubProject",{"_35":43,"_105":106},"url","https://github.com/yutakobayashidev/webforai-mcp-server","githubRepository",{"_109":110,"_111":112,"_113":114,"_115":116,"_33":117,"_118":119,"_124":125,"_126":127,"_129":125},"defaultBranch","main","fullName","yutakobayashidev/webforai-mcp-server","githubTreeId",115019,"language","TypeScript","webforai-mcp-server","owner",{"_120":121,"_122":123},"login","yutakobayashidev","uid","71zmwuiglf","recentStargazers",2,"spdxLicense",{"_33":128},"MIT License","stargazers","glamaJson",6332,"inspectable",false,"integrations",[136,146,153,160],{"_137":138,"_31":144,"_122":145},"brand",{"_139":140,"_33":141,"_142":143},"logoSvgPath","M16.5088 16.8447c.1475-.5068.0908-.9707-.1553-1.3154-.2246-.3164-.6045-.499-1.0615-.5205l-8.6592-.1123a.1559.1559 0 0 1-.1333-.0713c-.0283-.042-.0351-.0986-.021-.1553.0278-.084.1123-.1484.2036-.1562l8.7359-.1123c1.0351-.0489 2.1601-.8868 2.5537-1.9136l.499-1.3013c.0215-.0561.0293-.1128.0147-.168-.5625-2.5463-2.835-4.4453-5.5499-4.4453-2.5039 0-4.6284 1.6177-5.3876 3.8614-.4927-.3658-1.1187-.5625-1.794-.499-1.2026.119-2.1665 1.083-2.2861 2.2856-.0283.31-.0069.6128.0635.894C1.5683 13.171 0 14.7754 0 16.752c0 .1748.0142.3515.0352.5273.0141.083.0844.1475.1689.1475h15.9814c.0909 0 .1758-.0645.2032-.1553l.12-.4268zm2.7568-5.5634c-.0771 0-.1611 0-.2383.0112-.0566 0-.1054.0415-.127.0976l-.3378 1.1744c-.1475.5068-.0918.9707.1543 1.3164.2256.3164.6055.498 1.0625.5195l1.8437.1133c.0557 0 .1055.0263.1329.0703.0283.043.0351.1074.0214.1562-.0283.084-.1132.1485-.204.1553l-1.921.1123c-1.041.0488-2.1582.8867-2.5527 1.914l-.1406.3585c-.0283.0713.0215.1416.0986.1416h6.5977c.0771 0 .1474-.0489.169-.126.1122-.4082.1757-.837.1757-1.2803 0-2.6025-2.125-4.727-4.7344-4.727","Cloudflare","slug","cloudflare","Deploys to Cloudflare Workers for serverless hosting with global distribution of the MCP server.","16zby4s3e8",{"_137":147,"_31":151,"_122":152},{"_139":148,"_33":149,"_142":150},"m8.213.063 8.879 12.136-8.67 11.739h2.476l8.665-11.735-8.89-12.14Zm4.728 0 9.02 11.992-9.018 11.883h2.496L24 12.656v-1.199L15.434.063ZM7.178 2.02.01 11.398l-.01 1.2 7.203 9.644 1.238-1.676-6.396-8.556 6.361-8.313Z","Cloudflare Workers","cloudflare-workers","Provides a serverless deployment platform for the MCP server with global distribution.","igo6tke6m1",{"_137":154,"_31":158,"_122":159},{"_139":155,"_33":156,"_142":157},"M12 .297c-6.63 0-12 5.373-12 12 0 5.303 3.438 9.8 8.205 11.385.6.113.82-.258.82-.577 0-.285-.01-1.04-.015-2.04-3.338.724-4.042-1.61-4.042-1.61C4.422 18.07 3.633 17.7 3.633 17.7c-1.087-.744.084-.729.084-.729 1.205.084 1.838 1.236 1.838 1.236 1.07 1.835 2.809 1.305 3.495.998.108-.776.417-1.305.76-1.605-2.665-.3-5.466-1.332-5.466-5.93 0-1.31.465-2.38 1.235-3.22-.135-.303-.54-1.523.105-3.176 0 0 1.005-.322 3.3 1.23.96-.267 1.98-.399 3-.405 1.02.006 2.04.138 3 .405 2.28-1.552 3.285-1.23 3.285-1.23.645 1.653.24 2.873.12 3.176.765.84 1.23 1.91 1.23 3.22 0 4.61-2.805 5.625-5.475 5.92.42.36.81 1.096.81 2.22 0 1.606-.015 2.896-.015 3.286 0 .315.21.69.825.57C20.565 22.092 24 17.592 24 12.297c0-6.627-5.373-12-12-12","GitHub","github","Offers one-click deployment of the MCP server from the GitHub repository.","7s33ub9pfc",{"_137":161,"_31":165,"_122":166},{"_139":162,"_33":163,"_142":164},"M22.27 19.385H1.73A1.73 1.73 0 010 17.655V6.345a1.73 1.73 0 011.73-1.73h20.54A1.73 1.73 0 0124 6.345v11.308a1.73 1.73 0 01-1.73 1.731zM5.769 15.923v-4.5l2.308 2.885 2.307-2.885v4.5h2.308V8.078h-2.308l-2.307 2.885-2.308-2.885H3.46v7.847zM21.232 12h-2.309V8.077h-2.307V12h-2.308l3.461 4.039z","Markdown","markdown","Converts web content to clean, structured Markdown format for AI consumption.","kbqkore4ju","namespace","npmPackage","prompts","redditPostForeignId","resources","scores",{"_174":175,"_176":-5,"_177":-5},"license",100,"quality","security","simpleIcon","supportedPlatforms","tools","48hhtkok90","updatedAt","2025-05-05T20:03:04.915915654Z","meta",[186,189,191,198,201,203,206,209,212,215,218,220,223,226,228,230,232,234,236],{"_187":188},"title","WebforAI Text Extractor MCP Server | Glama",{"_190":42,"_33":31},"content",{"_192":193,"_194":195,"_196":197},"href","https://glama.ai/mcp/servers/@yutakobayashidev/webforai-mcp-server","rel","canonical","tagName","link",{"_190":34,"_199":200},"property","og:title",{"_190":42,"_199":202},"og:description",{"_190":204,"_199":205},"https://glama.ai/logo.png","og:logo",{"_190":207,"_199":208},"https://glama.ai/mcp/servers/@yutakobayashidev/webforai-mcp-server/og-image","og:image",{"_190":210,"_199":211},"630","og:image:height",{"_190":213,"_199":214},"1200","og:image:width",{"_190":216,"_199":217},"website","og:type",{"_190":193,"_199":219},"og:url",{"_190":221,"_199":222},"Glama – MCP Hosting Platform","og:site_name",{"_190":224,"_33":225},"summary_large_image","twitter:card",{"_190":221,"_33":227},"twitter:title",{"_190":42,"_33":229},"twitter:description",{"_190":207,"_33":231},"twitter:image",{"_190":210,"_33":233},"twitter:image:height",{"_190":213,"_33":235},"twitter:image:width",{"_237":238},"script:ld+json",{"_239":240,"_241":242},"@context","http://schema.org","@graph",[243],{"_239":244,"_245":246,"_247":248},"https://schema.org","@type","BreadcrumbList","itemListElement",[249,256,259,263],{"_245":250,"_251":252,"_33":253,"_254":255},"ListItem","item","https://glama.ai/","Glama","position",1,{"_245":250,"_251":257,"_33":258,"_254":125},"https://glama.ai/mcp","MCP",{"_245":250,"_251":260,"_33":261,"_254":262},"https://glama.ai/mcp/servers","Servers",3,{"_245":250,"_251":193,"_33":34,"_254":264},4,"visitorIsMaintainer","routes/_public/mcp/servers/~namespace/~slug/_pages/reviews/_route",{"_81":-5,"_29":268,"_184":287,"_322":-5},{"_84":85,"_86":269,"_13":272,"_101":42,"_102":42,"_103":273,"_107":274,"_130":-5,"_16":131,"_132":133,"_134":277,"_33":34,"_167":121,"_168":-5,"_169":-5,"_170":-5,"_171":-5,"_172":286,"_178":-5,"_142":117,"_179":-5,"_180":-5,"_122":181,"_182":183},{"_88":270,"_90":271,"_92":93},{},[],[95,96,97,98,99,100],{"_35":43,"_105":106},{"_109":110,"_111":112,"_113":114,"_115":116,"_33":117,"_118":275,"_124":125,"_126":276,"_129":125},{"_120":121,"_122":123},{"_33":128},[278,280,282,284],{"_137":279,"_31":144,"_122":145},{"_139":140,"_33":141,"_142":143},{"_137":281,"_31":151,"_122":152},{"_139":148,"_33":149,"_142":150},{"_137":283,"_31":158,"_122":159},{"_139":155,"_33":156,"_142":157},{"_137":285,"_31":165,"_122":166},{"_139":162,"_33":163,"_142":164},{"_174":175,"_176":-5,"_177":-5},[288,290,292,294,296,297,298,299,300,301,302,303,304,305,306,307,308,309,310],{"_187":289},"Reviews | WebforAI Text Extractor MCP Server | Glama",{"_190":291,"_33":31},"Read community reviews and feedback for WebforAI Text Extractor MCP Server. Discover user experiences, ratings, strengths, and potential limitations of this MCP implementation from actual users.",{"_192":293,"_194":195,"_196":197},"https://glama.ai/mcp/servers/@yutakobayashidev/webforai-mcp-server/reviews",{"_190":295,"_199":200},"Reviews | WebforAI Text Extractor MCP Server",{"_190":291,"_199":202},{"_190":204,"_199":205},{"_190":207,"_199":208},{"_190":210,"_199":211},{"_190":213,"_199":214},{"_190":216,"_199":217},{"_190":293,"_199":219},{"_190":221,"_199":222},{"_190":224,"_33":225},{"_190":221,"_33":227},{"_190":291,"_33":229},{"_190":207,"_33":231},{"_190":210,"_33":233},{"_190":213,"_33":235},{"_237":311},{"_239":240,"_241":312},[313],{"_239":244,"_245":246,"_247":314},[315,316,317,318,319],{"_245":250,"_251":252,"_33":253,"_254":255},{"_245":250,"_251":257,"_33":258,"_254":125},{"_245":250,"_251":260,"_33":261,"_254":262},{"_245":250,"_251":193,"_33":34,"_254":264},{"_245":250,"_251":293,"_33":320,"_254":321},"Reviews",5,"review","actionData","errors"]

Rate & Review

MCP directory API