[{"_1":2,"_327":-5,"_328":-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",12064106,"membership","referenceId","0198c8b2-9818-7118-852f-50dab565c2f1","userAccount","routes/_public/_layout",{},"routes/_public/mcp/servers/~namespace/~slug/_pages/_layout",{"_26":27,"_68":-5,"_69":28,"_29":70,"_182":183,"_264":265},"availableLocales",[28,40,47,54,61],{"_29":30,"_33":37,"_38":39},"mcpServer",{"_31":32,"_33":34,"_35":36},"description","Provides web content fetching capabilities using Playwright browser automation, enabling LLMs to retrieve and process JavaScript-rendered content from web pages and convert HTML to markdown for easier consumption.","name","Playwright Fetch MCP Server","readme","# Playwright Fetch MCP Server\n\n[![GitHub release (latest by date)](https://img.shields.io/github/v/release/ThreatFlux/playwright-fetch)](https://github.com/ThreatFlux/playwright-fetch/releases)\n[![CI](https://github.com/ThreatFlux/playwright-fetch/workflows/CI/badge.svg)](https://github.com/ThreatFlux/playwright-fetch/actions)\n[![codecov](https://codecov.io/gh/ThreatFlux/playwright-fetch/branch/main/graph/badge.svg)](https://codecov.io/gh/ThreatFlux/playwright-fetch)\n[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)\n[![Python Version](https://img.shields.io/badge/python-3.13-blue)](https://www.python.org/downloads/)\n[![Playwright](https://img.shields.io/badge/Playwright-1.40.0-4ead85)](https://playwright.dev/)\n[![MCP](https://img.shields.io/badge/MCP-Integrated-blueviolet)](https://docs.anthropic.com/claude/docs/model-context-protocol)\n[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)\n\nA Model Context Protocol server that provides web content fetching capabilities using Playwright for browser automation. This server enables LLMs to retrieve and process JavaScript-rendered content from web pages, converting HTML to markdown for easier consumption.\n\n## Author\n\nCreated by [Wyatt Roersma](https://github.com/wyroersma) with assistance from Claude Code.\n\n## Key Features\n\n- **Browser Automation**: Uses Playwright to render web pages with full JavaScript support\n- **Content Extraction**: Automatically identifies and extracts main content areas from web pages\n- **Markdown Conversion**: Converts HTML to clean, readable markdown\n- **Pagination Support**: Handles large content through pagination\n- **Robots.txt Compliance**: Respects robots.txt directives for autonomous fetching\n- **Proxy Support**: Allows routing requests through a proxy server\n- **Docker Ready**: Available as pre-built Docker images via [Docker Hub](https://hub.docker.com/r/threatflux/playwright-fetch) and [GitHub Container Registry](https://github.com/threatflux/playwright-fetch/pkgs/container/playwright-fetch)\n\n## Available Tools\n\n- `playwright-fetch` - Fetches a URL using Playwright browser automation and extracts its contents as markdown.\n - `url` (string, required): URL to fetch\n - `max_length` (integer, optional): Maximum number of characters to return (default: 5000)\n - `start_index` (integer, optional): Start content from this character index (default: 0)\n - `raw` (boolean, optional): Get raw content without markdown conversion (default: false)\n - `wait_for_js` (boolean, optional): Wait for JavaScript to execute (default: true)\n\n## Prompts\n\n- **playwright-fetch**\n - Fetch a URL using Playwright and extract its contents as markdown\n - Arguments:\n - `url` (string, required): URL to fetch\n\n## Requirements\n\n- Python 3.13.2 or newer\n- [uv](https://docs.astral.sh/uv/) package manager\n- Playwright browsers installed\n\n## Installation\n\n### 1. Install with uv (recommended)\n\n```bash\nuv pip install git+https://github.com/ThreatFlux/playwright-fetch.git\n# Install Playwright browsers\nuv pip exec playwright install\n```\n\nAlternatively, clone the repository and install:\n\n```bash\ngit clone https://github.com/ThreatFlux/playwright-fetch.git\ncd playwright-fetch\nuv pip install -e .\n# Install Playwright browsers\nuv pip exec playwright install\n```\n\n### 2. Using Docker\n\nYou can use our pre-built Docker images from Docker Hub or GitHub Container Registry:\n\n```bash\n# From Docker Hub\ndocker pull threatflux/playwright-fetch:latest\n\n# From GitHub Container Registry\ndocker pull ghcr.io/threatflux/playwright-fetch:latest\n```\n\nOr build it yourself:\n\n```bash\ndocker build -t threatflux/playwright-fetch .\n```\n\n## Configuration\n\n### Configure for Claude.app\n\nAdd to your Claude settings:\n\n

Using uvx

\n\n```json\n\"mcpServers\": {\n \"playwright-fetch\": {\n \"command\": \"uvx\",\n \"args\": [\"mcp-server-playwright-fetch\"]\n }\n}\n```\n

\n\n

Using docker

\n\n```json\n\"mcpServers\": {\n \"playwright-fetch\": {\n \"command\": \"docker\",\n \"args\": [\"run\", \"-i\", \"--rm\", \"threatflux/playwright-fetch\"]\n }\n}\n```\n

\n\n### Configure for VS Code\n\nFor manual installation, add the following JSON block to your User Settings (JSON) file in VS Code.\n\n

Using uvx

\n\n```json\n{\n \"mcp\": {\n \"servers\": {\n \"playwright-fetch\": {\n \"command\": \"uvx\",\n \"args\": [\"mcp-server-playwright-fetch\"]\n }\n }\n }\n}\n```\n

\n\n

Using Docker

\n\n```json\n{\n \"mcp\": {\n \"servers\": {\n \"playwright-fetch\": {\n \"command\": \"docker\",\n \"args\": [\"run\", \"-i\", \"--rm\", \"threatflux/playwright-fetch\"]\n }\n }\n }\n}\n```\n

\n\n## Command Line Options\n\nThe server supports these command-line options:\n\n- `--user-agent`: Custom User-Agent string\n- `--ignore-robots-txt`: Ignore robots.txt restrictions\n- `--proxy-url`: Proxy URL to use for requests\n- `--headless`: Run browser in headless mode (default: True)\n- `--wait-until`: When to consider navigation succeeded (choices: \"load\", \"domcontentloaded\", \"networkidle\", \"commit\", default: \"networkidle\")\n\n## Example Usage\n\n```bash\n# Run with default settings\nuv run mcp-server-playwright-fetch\n\n# Run with a custom user agent and proxy\nuv run mcp-server-playwright-fetch --user-agent=\"MyCustomAgent/1.0\" --proxy-url=\"http://myproxy:8080\"\n\n# Run with visible browser for debugging\nuv run mcp-server-playwright-fetch --headless=false\n```\n\n## Debugging\n\nYou can use the MCP inspector to debug the server:\n\n```bash\nnpx @modelcontextprotocol/inspector uvx mcp-server-playwright-fetch\n```\n\n## Differences from Standard Fetch Server\n\nThis implementation differs from the standard fetch MCP server in these ways:\n\n1. **Browser Automation**: Uses Playwright to render JavaScript-heavy pages\n2. **Content Extraction**: Attempts to extract main content from common page structures\n3. **Wait Options**: Configurable page loading strategy (wait for load, DOM content, network idle)\n4. **Visible Browser Option**: Can run with a visible browser for debugging\n\n## License\n\nThis project is licensed under the MIT License. See the [LICENSE](LICENSE) file for details.","English","tag","en-US",{"_29":41,"_33":45,"_38":46},{"_31":42,"_33":43,"_35":44},"Proporciona capacidades de obtención de contenido web mediante la automatización del navegador Playwright, lo que permite a los LLM recuperar y procesar contenido generado en JavaScript desde páginas web y convertir HTML a Markdown para un consumo más sencillo.","Servidor MCP de Playwright Fetch","# Servidor MCP de Playwright Fetch\n\n[![Lanzamiento de GitHub (última fecha)](https://img.shields.io/github/v/release/ThreatFlux/playwright-fetch)](https://github.com/ThreatFlux/playwright-fetch/releases) [![CI](https://github.com/ThreatFlux/playwright-fetch/workflows/CI/badge.svg)](https://github.com/ThreatFlux/playwright-fetch/actions) [![código decodificador](https://codecov.io/gh/ThreatFlux/playwright-fetch/branch/main/graph/badge.svg)](https://codecov.io/gh/ThreatFlux/playwright-fetch) [![Licencia: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT) [![Versión de Python](https://img.shields.io/badge/python-3.13-blue)](https://www.python.org/downloads/) [![Dramaturgo](https://img.shields.io/badge/Playwright-1.40.0-4ead85)](https://playwright.dev/) [![MCP](https://img.shields.io/badge/MCP-Integrated-blueviolet)](https://docs.anthropic.com/claude/docs/model-context-protocol) [![Estilo de código: negro](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)\n\nUn servidor de Protocolo de Contexto de Modelo (MLM) que proporciona capacidades de obtención de contenido web mediante Playwright para la automatización del navegador. Este servidor permite a los LLM recuperar y procesar contenido generado en JavaScript desde páginas web, convirtiendo HTML a Markdown para facilitar su uso.\n\n## Autor\n\nCreado por [Wyatt Roersma](https://github.com/wyroersma) con la ayuda de Claude Code.\n\n## Características principales\n\n* **Automatización del navegador** : utiliza Playwright para renderizar páginas web con compatibilidad total con JavaScript\n* **Extracción de contenido** : identifica y extrae automáticamente las principales áreas de contenido de las páginas web\n* **Conversión de Markdown** : convierte HTML a Markdown limpio y legible\n* **Soporte de paginación** : maneja contenido grande a través de la paginación\n* **Cumplimiento de Robots.txt** : respeta las directivas de robots.txt para la búsqueda autónoma\n* **Compatibilidad con proxy** : permite enrutar solicitudes a través de un servidor proxy\n* **Docker Ready** : disponible como imágenes de Docker prediseñadas a través de [Docker Hub](https://hub.docker.com/r/threatflux/playwright-fetch) y [GitHub Container Registry](https://github.com/threatflux/playwright-fetch/pkgs/container/playwright-fetch)\n\n## Herramientas disponibles\n\n* `playwright-fetch` : obtiene una URL mediante la automatización del navegador Playwright y extrae su contenido como Markdown.\n * `url` (cadena, obligatoria): URL para obtener\n * `max_length` (entero, opcional): número máximo de caracteres a devolver (predeterminado: 5000)\n * `start_index` (entero, opcional): comienza el contenido a partir de este índice de caracteres (valor predeterminado: 0)\n * `raw` (booleano, opcional): obtener contenido sin procesar sin conversión de Markdown (valor predeterminado: falso)\n * `wait_for_js` (booleano, opcional): espera a que se ejecute JavaScript (valor predeterminado: verdadero)\n\n## Indicaciones\n\n* **dramaturgo-fetch**\n\n * Obtenga una URL usando Playwright y extraiga su contenido como Markdown\n * Argumentos:\n * `url` (cadena, obligatoria): URL para obtener\n\n## Requisitos\n\n* Python 3.13.2 o más reciente\n* administrador de paquetes [uv](https://docs.astral.sh/uv/)\n* Navegadores de dramaturgos instalados\n\n## Instalación\n\n### 1. Instalar con uv (recomendado)\n\n```bash\nuv pip install git+https://github.com/ThreatFlux/playwright-fetch.git\n# Install Playwright browsers\nuv pip exec playwright install\n```\n\nAlternativamente, clone el repositorio e instale:\n\n```bash\ngit clone https://github.com/ThreatFlux/playwright-fetch.git\ncd playwright-fetch\nuv pip install -e .\n# Install Playwright browsers\nuv pip exec playwright install\n```\n\n### 2. Uso de Docker\n\nPuede utilizar nuestras imágenes Docker prediseñadas desde Docker Hub o GitHub Container Registry:\n\n```bash\n# From Docker Hub\ndocker pull threatflux/playwright-fetch:latest\n\n# From GitHub Container Registry\ndocker pull ghcr.io/threatflux/playwright-fetch:latest\n```\n\nO construyelo tu mismo:\n\n```bash\ndocker build -t threatflux/playwright-fetch .\n```\n\n## Configuración\n\n### Configurar para Claude.app\n\nAñade a tu configuración de Claude:\n\n```json\n\"mcpServers\": {\n \"playwright-fetch\": {\n \"command\": \"uvx\",\n \"args\": [\"mcp-server-playwright-fetch\"]\n }\n}\n```\n\n```json\n\"mcpServers\": {\n \"playwright-fetch\": {\n \"command\": \"docker\",\n \"args\": [\"run\", \"-i\", \"--rm\", \"threatflux/playwright-fetch\"]\n }\n}\n```\n\n### Configurar para VS Code\n\nPara la instalación manual, agregue el siguiente bloque JSON a su archivo de configuración de usuario (JSON) en VS Code.\n\n```json\n{\n \"mcp\": {\n \"servers\": {\n \"playwright-fetch\": {\n \"command\": \"uvx\",\n \"args\": [\"mcp-server-playwright-fetch\"]\n }\n }\n }\n}\n```\n\n```json\n{\n \"mcp\": {\n \"servers\": {\n \"playwright-fetch\": {\n \"command\": \"docker\",\n \"args\": [\"run\", \"-i\", \"--rm\", \"threatflux/playwright-fetch\"]\n }\n }\n }\n}\n```\n\n## Opciones de línea de comandos\n\nEl servidor admite estas opciones de línea de comandos:\n\n* `--user-agent` : cadena de agente de usuario personalizada\n* `--ignore-robots-txt` : Ignorar las restricciones de robots.txt\n* `--proxy-url` : URL de proxy que se utilizará para las solicitudes\n* `--headless` : ejecuta el navegador en modo sin cabeza (valor predeterminado: Verdadero)\n* `--wait-until` : Cuándo considerar que la navegación fue exitosa (opciones: \"load\", \"domcontentloaded\", \"networkidle\", \"commit\", predeterminado: \"networkidle\")\n\n## Ejemplo de uso\n\n```bash\n# Run with default settings\nuv run mcp-server-playwright-fetch\n\n# Run with a custom user agent and proxy\nuv run mcp-server-playwright-fetch --user-agent=\"MyCustomAgent/1.0\" --proxy-url=\"http://myproxy:8080\"\n\n# Run with visible browser for debugging\nuv run mcp-server-playwright-fetch --headless=false\n```\n\n## Depuración\n\nPuede utilizar el inspector MCP para depurar el servidor:\n\n```bash\nnpx @modelcontextprotocol/inspector uvx mcp-server-playwright-fetch\n```\n\n## Diferencias con el servidor de búsqueda estándar\n\nEsta implementación se diferencia del servidor MCP de búsqueda estándar en los siguientes aspectos:\n\n1. **Automatización del navegador** : utiliza Playwright para renderizar páginas con mucho contenido de JavaScript\n2. **Extracción de contenido** : intenta extraer el contenido principal de estructuras de páginas comunes\n3. **Opciones de espera** : estrategia de carga de página configurable (espera de carga, contenido DOM, red inactiva)\n4. **Opción de navegador visible** : se puede ejecutar con un navegador visible para depuración\n\n## Licencia\n\nEste proyecto está licenciado bajo la Licencia MIT. Consulte el archivo [de LICENCIA](LICENSE) para más detalles.","Spanish","es-ES",{"_29":48,"_33":52,"_38":53},{"_31":49,"_33":50,"_35":51},"Playwright ブラウザ自動化を使用した Web コンテンツ取得機能を提供し、LLM が Web ページから JavaScript でレンダリングされたコンテンツを取得して処理し、HTML をマークダウンに変換して簡単に使用できるようにします。","Playwright Fetch MCP サーバー","# Playwright Fetch MCP サーバー\n\n[![GitHub リリース（最新日付）](https://img.shields.io/github/v/release/ThreatFlux/playwright-fetch)](https://github.com/ThreatFlux/playwright-fetch/releases) [![CI](https://github.com/ThreatFlux/playwright-fetch/workflows/CI/badge.svg)](https://github.com/ThreatFlux/playwright-fetch/actions) [![コードコフ](https://codecov.io/gh/ThreatFlux/playwright-fetch/branch/main/graph/badge.svg)](https://codecov.io/gh/ThreatFlux/playwright-fetch) [![ライセンス: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT) [![Pythonバージョン](https://img.shields.io/badge/python-3.13-blue)](https://www.python.org/downloads/) [![劇作家](https://img.shields.io/badge/Playwright-1.40.0-4ead85)](https://playwright.dev/) [![MCP](https://img.shields.io/badge/MCP-Integrated-blueviolet)](https://docs.anthropic.com/claude/docs/model-context-protocol) [![コードスタイル: 黒](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)\n\nPlaywright を用いたブラウザ自動化のためのウェブコンテンツ取得機能を提供するモデルコンテキストプロトコル（LLM）サーバー。このサーバーにより、LLM はウェブページから JavaScript でレンダリングされたコンテンツを取得・処理し、HTML を Markdown に変換して利用しやすくすることができます。\n\n## 著者\n\nClaude Code の協力を得て[Wyatt Roersma](https://github.com/wyroersma)が作成しました。\n\n## 主な特徴\n\n* **ブラウザ自動化**: Playwright を使用して、完全な JavaScript サポートを備えた Web ページをレンダリングします。\n* **コンテンツ抽出**: Webページから主要なコンテンツ領域を自動的に識別して抽出します\n* **Markdown変換**: HTMLをクリーンで読みやすいMarkdownに変換します\n* **ページネーションサポート**: ページネーションを通じて大きなコンテンツを処理します\n* **robots.txt準拠**: 自律的なフェッチのためのrobots.txtディレクティブを尊重\n* **プロキシサポート**: プロキシサーバー経由でリクエストをルーティングできます\n* **Docker 対応**: [Docker Hub](https://hub.docker.com/r/threatflux/playwright-fetch)および[GitHub Container Registry](https://github.com/threatflux/playwright-fetch/pkgs/container/playwright-fetch)経由でビルド済みの Docker イメージとして利用可能\n\n## 利用可能なツール\n\n* `playwright-fetch` - Playwright ブラウザ自動化を使用して URL を取得し、その内容をマークダウンとして抽出します。\n * `url` (文字列、必須): 取得するURL\n * `max_length` （整数、オプション）：返される文字の最大数（デフォルト：5000）\n * `start_index` （整数、オプション）：この文字インデックスからコンテンツを開始します（デフォルト：0）\n * `raw` （ブール値、オプション）：マークダウン変換なしで生のコンテンツを取得します（デフォルト：false）\n * `wait_for_js` (ブール値、オプション): JavaScript の実行を待機します (デフォルト: true)\n\n## プロンプト\n\n* **劇作家フェッチ**\n\n * Playwright を使用して URL を取得し、その内容をマークダウンとして抽出します。\n * 引数:\n * `url` (文字列、必須): 取得するURL\n\n## 要件\n\n* Python 3.13.2以降\n* [UV](https://docs.astral.sh/uv/)パッケージマネージャー\n* Playwrightブラウザがインストールされている\n\n## インストール\n\n### 1. uvでインストールする（推奨）\n\n```bash\nuv pip install git+https://github.com/ThreatFlux/playwright-fetch.git\n# Install Playwright browsers\nuv pip exec playwright install\n```\n\nあるいは、リポジトリのクローンを作成してインストールします。\n\n```bash\ngit clone https://github.com/ThreatFlux/playwright-fetch.git\ncd playwright-fetch\nuv pip install -e .\n# Install Playwright browsers\nuv pip exec playwright install\n```\n\n### 2. Dockerの使用\n\nDocker Hub または GitHub Container Registry から、事前に構築された Docker イメージを使用できます。\n\n```bash\n# From Docker Hub\ndocker pull threatflux/playwright-fetch:latest\n\n# From GitHub Container Registry\ndocker pull ghcr.io/threatflux/playwright-fetch:latest\n```\n\nまたは自分で構築します:\n\n```bash\ndocker build -t threatflux/playwright-fetch .\n```\n\n## 構成\n\n### Claude.app 用に設定する\n\nClaude 設定に追加:\n\n```json\n\"mcpServers\": {\n \"playwright-fetch\": {\n \"command\": \"uvx\",\n \"args\": [\"mcp-server-playwright-fetch\"]\n }\n}\n```\n\n```json\n\"mcpServers\": {\n \"playwright-fetch\": {\n \"command\": \"docker\",\n \"args\": [\"run\", \"-i\", \"--rm\", \"threatflux/playwright-fetch\"]\n }\n}\n```\n\n### VS Code用の設定\n\n手動でインストールする場合は、VS Code のユーザー設定 (JSON) ファイルに次の JSON ブロックを追加します。\n\n```json\n{\n \"mcp\": {\n \"servers\": {\n \"playwright-fetch\": {\n \"command\": \"uvx\",\n \"args\": [\"mcp-server-playwright-fetch\"]\n }\n }\n }\n}\n```\n\n```json\n{\n \"mcp\": {\n \"servers\": {\n \"playwright-fetch\": {\n \"command\": \"docker\",\n \"args\": [\"run\", \"-i\", \"--rm\", \"threatflux/playwright-fetch\"]\n }\n }\n }\n}\n```\n\n## コマンドラインオプション\n\nサーバーは次のコマンドラインオプションをサポートしています。\n\n* `--user-agent` : カスタムユーザーエージェント文字列\n* `--ignore-robots-txt` : robots.txt の制限を無視する\n* `--proxy-url` : リクエストに使用するプロキシ URL\n* `--headless` : ブラウザをヘッドレスモードで実行する (デフォルト: True)\n* `--wait-until` : ナビゲーションが成功したと見なすタイミング (選択肢: \"load\", \"domcontentloaded\", \"networkidle\", \"commit\"、デフォルト: \"networkidle\")\n\n## 使用例\n\n```bash\n# Run with default settings\nuv run mcp-server-playwright-fetch\n\n# Run with a custom user agent and proxy\nuv run mcp-server-playwright-fetch --user-agent=\"MyCustomAgent/1.0\" --proxy-url=\"http://myproxy:8080\"\n\n# Run with visible browser for debugging\nuv run mcp-server-playwright-fetch --headless=false\n```\n\n## デバッグ\n\nMCP インスペクタを使用してサーバーをデバッグできます。\n\n```bash\nnpx @modelcontextprotocol/inspector uvx mcp-server-playwright-fetch\n```\n\n## 標準フェッチサーバーとの違い\n\nこの実装は、標準のフェッチ MCP サーバーとは次の点で異なります。\n\n1. **ブラウザ自動化**: Playwrightを使用してJavaScriptを多用したページをレンダリングします\n2. **コンテンツ抽出**: 一般的なページ構造からメインコンテンツを抽出します\n3. **待機オプション**: 設定可能なページ読み込み戦略 (読み込み、DOM コンテンツ、ネットワークアイドルの待機)\n4. **表示ブラウザオプション**: デバッグのために表示ブラウザで実行できます\n\n## ライセンス\n\nこのプロジェクトはMITライセンスの下で提供されています。詳細は[LICENSE](LICENSE)ファイルをご覧ください。","Japanese","ja-JP",{"_29":55,"_33":59,"_38":60},{"_31":56,"_33":57,"_35":58},"Playwright 브라우저 자동화를 사용하여 웹 콘텐츠 가져오기 기능을 제공하므로 LLM이 웹 페이지에서 JavaScript로 렌더링된 콘텐츠를 검색하고 처리하고 HTML을 마크다운으로 변환하여 더 쉽게 사용할 수 있습니다.","극작가 MCP 서버 가져오기","# 극작가 MCP 서버 가져오기\n\n[![GitHub 릴리스(날짜별 최신)](https://img.shields.io/github/v/release/ThreatFlux/playwright-fetch)](https://github.com/ThreatFlux/playwright-fetch/releases) [![씨아이](https://github.com/ThreatFlux/playwright-fetch/workflows/CI/badge.svg)](https://github.com/ThreatFlux/playwright-fetch/actions) [![코드코브](https://codecov.io/gh/ThreatFlux/playwright-fetch/branch/main/graph/badge.svg)](https://codecov.io/gh/ThreatFlux/playwright-fetch) [![라이센스: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT) [![파이썬 버전](https://img.shields.io/badge/python-3.13-blue)](https://www.python.org/downloads/) [![극작가](https://img.shields.io/badge/Playwright-1.40.0-4ead85)](https://playwright.dev/) [![엠씨피](https://img.shields.io/badge/MCP-Integrated-blueviolet)](https://docs.anthropic.com/claude/docs/model-context-protocol) [![코드 스타일: 검정색](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)\n\nPlaywright를 사용하여 브라우저 자동화를 위한 웹 콘텐츠 가져오기 기능을 제공하는 모델 컨텍스트 프로토콜 서버입니다. 이 서버를 통해 LLM은 웹 페이지에서 JavaScript로 렌더링된 콘텐츠를 검색하고 처리하며, HTML을 마크다운으로 변환하여 더 쉽게 사용할 수 있습니다.\n\n## 작가\n\n[Wyatt Roersma](https://github.com/wyroersma) 가 Claude Code의 도움을 받아 제작했습니다.\n\n## 주요 특징\n\n* **브라우저 자동화** : Playwright를 사용하여 JavaScript를 완벽하게 지원하여 웹 페이지를 렌더링합니다.\n* **콘텐츠 추출** : 웹 페이지에서 주요 콘텐츠 영역을 자동으로 식별하고 추출합니다.\n* **마크다운 변환** : HTML을 깔끔하고 읽기 쉬운 마크다운으로 변환합니다.\n* **페이지 매김 지원** : 페이지 매김을 통해 대용량 콘텐츠를 처리합니다.\n* **Robots.txt 준수** : 자율적 페칭을 위해 robots.txt 지침을 준수합니다.\n* **프록시 지원** : 프록시 서버를 통해 라우팅 요청을 허용합니다.\n* **Docker Ready** : [Docker Hub](https://hub.docker.com/r/threatflux/playwright-fetch) 및 [GitHub Container Registry를](https://github.com/threatflux/playwright-fetch/pkgs/container/playwright-fetch) 통해 미리 빌드된 Docker 이미지로 사용 가능\n\n## 사용 가능한 도구\n\n* `playwright-fetch` - Playwright 브라우저 자동화를 사용하여 URL을 가져오고 해당 내용을 마크다운으로 추출합니다.\n * `url` (문자열, 필수): 가져올 URL\n * `max_length` (정수, 선택 사항): 반환할 최대 문자 수(기본값: 5000)\n * `start_index` (정수, 선택 사항): 이 문자 인덱스에서 시작 콘텐츠(기본값: 0)\n * `raw` (부울, 선택 사항): 마크다운 변환 없이 원시 콘텐츠를 가져옵니다(기본값: false)\n * `wait_for_js` (부울, 선택 사항): JavaScript가 실행될 때까지 기다립니다(기본값: true)\n\n## 프롬프트\n\n* **극작가-페치**\n\n * Playwright를 사용하여 URL을 가져오고 해당 내용을 마크다운으로 추출합니다.\n * 인수:\n * `url` (문자열, 필수): 가져올 URL\n\n## 요구 사항\n\n* Python 3.13.2 이상\n* [uv](https://docs.astral.sh/uv/) 패키지 관리자\n* Playwright 브라우저 설치됨\n\n## 설치\n\n### 1. uv로 설치하기 (권장)\n\n지엑스피1\n\n또는 저장소를 복제하고 설치하세요.\n\n```bash\ngit clone https://github.com/ThreatFlux/playwright-fetch.git\ncd playwright-fetch\nuv pip install -e .\n# Install Playwright browsers\nuv pip exec playwright install\n```\n\n### 2. Docker 사용하기\n\nDocker Hub 또는 GitHub Container Registry에서 미리 작성된 Docker 이미지를 사용할 수 있습니다.\n\n```bash\n# From Docker Hub\ndocker pull threatflux/playwright-fetch:latest\n\n# From GitHub Container Registry\ndocker pull ghcr.io/threatflux/playwright-fetch:latest\n```\n\n아니면 직접 만들어 보세요:\n\n```bash\ndocker build -t threatflux/playwright-fetch .\n```\n\n## 구성\n\n### Claude.app에 대한 구성\n\nClaude 설정에 추가:\n\n```json\n\"mcpServers\": {\n \"playwright-fetch\": {\n \"command\": \"uvx\",\n \"args\": [\"mcp-server-playwright-fetch\"]\n }\n}\n```\n\n```json\n\"mcpServers\": {\n \"playwright-fetch\": {\n \"command\": \"docker\",\n \"args\": [\"run\", \"-i\", \"--rm\", \"threatflux/playwright-fetch\"]\n }\n}\n```\n\n### VS Code에 대한 구성\n\n수동 설치의 경우 VS Code의 사용자 설정(JSON) 파일에 다음 JSON 블록을 추가합니다.\n\n```json\n{\n \"mcp\": {\n \"servers\": {\n \"playwright-fetch\": {\n \"command\": \"uvx\",\n \"args\": [\"mcp-server-playwright-fetch\"]\n }\n }\n }\n}\n```\n\n```json\n{\n \"mcp\": {\n \"servers\": {\n \"playwright-fetch\": {\n \"command\": \"docker\",\n \"args\": [\"run\", \"-i\", \"--rm\", \"threatflux/playwright-fetch\"]\n }\n }\n }\n}\n```\n\n## 명령줄 옵션\n\n서버는 다음과 같은 명령줄 옵션을 지원합니다.\n\n* `--user-agent` : 사용자 정의 사용자 에이전트 문자열\n* `--ignore-robots-txt` : robots.txt 제한을 무시합니다.\n* `--proxy-url` : 요청에 사용할 프록시 URL\n* `--headless` : 브라우저를 헤드리스 모드로 실행합니다(기본값: True)\n* `--wait-until` : 탐색이 성공한 것으로 간주할 시점(선택 사항: \"load\", \"domcontentloaded\", \"networkidle\", \"commit\", 기본값: \"networkidle\")\n\n## 사용 예\n\n```bash\n# Run with default settings\nuv run mcp-server-playwright-fetch\n\n# Run with a custom user agent and proxy\nuv run mcp-server-playwright-fetch --user-agent=\"MyCustomAgent/1.0\" --proxy-url=\"http://myproxy:8080\"\n\n# Run with visible browser for debugging\nuv run mcp-server-playwright-fetch --headless=false\n```\n\n## 디버깅\n\nMCP 검사기를 사용하여 서버를 디버깅할 수 있습니다.\n\n```bash\nnpx @modelcontextprotocol/inspector uvx mcp-server-playwright-fetch\n```\n\n## 표준 Fetch Server와의 차이점\n\n이 구현은 다음과 같은 면에서 표준 MCP 서버와 다릅니다.\n\n1. **브라우저 자동화** : Playwright를 사용하여 JavaScript가 많이 사용되는 페이지를 렌더링합니다.\n2. **콘텐츠 추출** : 공통 페이지 구조에서 주요 콘텐츠를 추출하려고 시도합니다.\n3. **대기 옵션** : 구성 가능한 페이지 로딩 전략(로드 대기, DOM 콘텐츠, 네트워크 유휴)\n4. **표시되는 브라우저 옵션** : 디버깅을 위해 표시되는 브라우저로 실행할 수 있습니다.\n\n## 특허\n\n이 프로젝트는 MIT 라이선스에 따라 라이선스가 부여됩니다. 자세한 내용은 [라이선스](LICENSE) 파일을 참조하세요.","Korean","ko-KR",{"_29":62,"_33":66,"_38":67},{"_31":63,"_33":64,"_35":65},"使用 Playwright 浏览器自动化提供 Web 内容获取功能，使 LLM 能够从网页检索和处理 JavaScript 呈现的内容，并将 HTML 转换为 markdown 以便于使用。","剧作家获取 MCP 服务器","# 剧作家获取 MCP 服务器\n\n[![GitHub 版本（按日期排序）](https://img.shields.io/github/v/release/ThreatFlux/playwright-fetch)](https://github.com/ThreatFlux/playwright-fetch/releases) [![CI](https://github.com/ThreatFlux/playwright-fetch/workflows/CI/badge.svg)](https://github.com/ThreatFlux/playwright-fetch/actions) [![代码验证](https://codecov.io/gh/ThreatFlux/playwright-fetch/branch/main/graph/badge.svg)](https://codecov.io/gh/ThreatFlux/playwright-fetch) [![许可证：MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT) [![Python 版本](https://img.shields.io/badge/python-3.13-blue)](https://www.python.org/downloads/) [![剧作家](https://img.shields.io/badge/Playwright-1.40.0-4ead85)](https://playwright.dev/) [![微胶囊钙](https://img.shields.io/badge/MCP-Integrated-blueviolet)](https://docs.anthropic.com/claude/docs/model-context-protocol) [![代码样式：黑色](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)\n\n一个模型上下文协议 (MLM) 服务器，使用 Playwright 提供 Web 内容抓取功能，实现浏览器自动化。该服务器使 LLM 能够从网页中检索和处理 JavaScript 渲染的内容，并将 HTML 转换为 Markdown 格式，以便于使用。\n\n## 作者\n\n由[Wyatt Roersma](https://github.com/wyroersma)在 Claude Code 的协助下创建。\n\n## 主要特点\n\n* **浏览器自动化**：使用 Playwright 呈现具有完整 JavaScript 支持的网页\n* **内容提取**：自动识别并提取网页的主要内容区域\n* **Markdown 转换**：将 HTML 转换为干净、可读的 Markdown\n* **分页支持**：通过分页处理大量内容\n* **Robots.txt 合规性**：尊重 robots.txt 指令以进行自主抓取\n* **代理支持**：允许通过代理服务器路由请求\n* **Docker Ready** ：可通过[Docker Hub](https://hub.docker.com/r/threatflux/playwright-fetch)和[GitHub Container Registry](https://github.com/threatflux/playwright-fetch/pkgs/container/playwright-fetch)获取预构建的 Docker 镜像\n\n## 可用工具\n\n* `playwright-fetch` - 使用 Playwright 浏览器自动化获取 URL 并将其内容提取为 markdown。\n * `url` （字符串，必需）：要获取的 URL\n * `max_length` （整数，可选）：返回的最大字符数（默认值：5000）\n * `start_index` （整数，可选）：从此字符索引开始内容（默认值：0）\n * `raw` （布尔值，可选）：获取不带 markdown 转换的原始内容（默认值：false）\n * `wait_for_js` （布尔值，可选）：等待 JavaScript 执行（默认值：true）\n\n## 提示\n\n* **剧作家取回**\n\n * 使用 Playwright 获取 URL 并将其内容提取为 markdown\n * 参数：\n * `url` （字符串，必需）：要获取的 URL\n\n## 要求\n\n* Python 3.13.2 或更高版本\n* [uv](https://docs.astral.sh/uv/)包管理器\n* 已安装 Playwright 浏览器\n\n## 安装\n\n### 1.使用uv安装（推荐）\n\n```bash\nuv pip install git+https://github.com/ThreatFlux/playwright-fetch.git\n# Install Playwright browsers\nuv pip exec playwright install\n```\n\n或者，克隆存储库并安装：\n\n```bash\ngit clone https://github.com/ThreatFlux/playwright-fetch.git\ncd playwright-fetch\nuv pip install -e .\n# Install Playwright browsers\nuv pip exec playwright install\n```\n\n### 2.使用Docker\n\n您可以使用我们从 Docker Hub 或 GitHub Container Registry 预先构建的 Docker 镜像：\n\n```bash\n# From Docker Hub\ndocker pull threatflux/playwright-fetch:latest\n\n# From GitHub Container Registry\ndocker pull ghcr.io/threatflux/playwright-fetch:latest\n```\n\n或者自己构建：\n\n```bash\ndocker build -t threatflux/playwright-fetch .\n```\n\n## 配置\n\n### 为 Claude.app 配置\n\n添加到您的 Claude 设置：\n\n```json\n\"mcpServers\": {\n \"playwright-fetch\": {\n \"command\": \"uvx\",\n \"args\": [\"mcp-server-playwright-fetch\"]\n }\n}\n```\n\n```json\n\"mcpServers\": {\n \"playwright-fetch\": {\n \"command\": \"docker\",\n \"args\": [\"run\", \"-i\", \"--rm\", \"threatflux/playwright-fetch\"]\n }\n}\n```\n\n### 配置 VS Code\n\n对于手动安装，请将以下 JSON 块添加到 VS Code 中的用户设置 (JSON) 文件中。\n\n```json\n{\n \"mcp\": {\n \"servers\": {\n \"playwright-fetch\": {\n \"command\": \"uvx\",\n \"args\": [\"mcp-server-playwright-fetch\"]\n }\n }\n }\n}\n```\n\n```json\n{\n \"mcp\": {\n \"servers\": {\n \"playwright-fetch\": {\n \"command\": \"docker\",\n \"args\": [\"run\", \"-i\", \"--rm\", \"threatflux/playwright-fetch\"]\n }\n }\n }\n}\n```\n\n## 命令行选项\n\n该服务器支持以下命令行选项：\n\n* `--user-agent` ：自定义 User-Agent 字符串\n* `--ignore-robots-txt` ：忽略 robots.txt 限制\n* `--proxy-url` ：用于请求的代理 URL\n* `--headless` ：以无头模式运行浏览器（默认值：True）\n* `--wait-until` ：何时认为导航成功（选项：“load”、“domcontentloaded”、“networkidle”、“commit”，默认值：“networkidle”）\n\n## 示例用法\n\n```bash\n# Run with default settings\nuv run mcp-server-playwright-fetch\n\n# Run with a custom user agent and proxy\nuv run mcp-server-playwright-fetch --user-agent=\"MyCustomAgent/1.0\" --proxy-url=\"http://myproxy:8080\"\n\n# Run with visible browser for debugging\nuv run mcp-server-playwright-fetch --headless=false\n```\n\n## 调试\n\n您可以使用 MCP 检查器来调试服务器：\n\n```bash\nnpx @modelcontextprotocol/inspector uvx mcp-server-playwright-fetch\n```\n\n## 与标准 Fetch Server 的区别\n\n此实现与标准获取 MCP 服务器有以下不同：\n\n1. 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