[{"_1":2,"_379":-5,"_380":-5},"loaderData",{"_3":4,"_22":23,"_264":265},"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",16748977,"membership","referenceId","01998214-8e08-73cb-9b71-462d52677519","userAccount","routes/_public/mcp/servers/~namespace/~slug/_pages/_layout",{"_24":25,"_80":-5,"_81":38,"_27":82,"_180":181,"_262":263},"availableLocales",[26,38,45,52,59,66,73],{"_27":28,"_31":35,"_36":37},"mcpServer",{"_29":30,"_31":32,"_33":34},"description","Ein Model Context Protocol-Server, der mithilfe von Playwright Browser-Automatisierungsfunktionen bereitstellt und es LLMs ermöglicht, mit Webseiten zu interagieren, Screenshots zu erstellen, Testcode zu generieren, Webinhalte zu scrapen und JavaScript in echten Browserumgebungen auszuführen.","name","Playwright MCP-Server","readme","### [Warp, das KI-Terminal für Entwickler](https://www.warp.dev/?utm_source=github\\&utm_medium=referral\\&utm_campaign=mcp-playwright)\n\n[Verfügbar für MacOS, Linux und Windows](https://www.warp.dev/?utm_source=github\\&utm_medium=referral\\&utm_campaign=mcp-playwright)\n\n# Playwright MCP-Server 🎭\n\n[![Schmiedeabzeichen](https://smithery.ai/badge/@executeautomation/playwright-mcp-server)](https://smithery.ai/server/@executeautomation/playwright-mcp-server)\n\nEin Model Context Protocol-Server, der Browser-Automatisierungsfunktionen mit Playwright bereitstellt. Dieser Server ermöglicht LLMs die Interaktion mit Webseiten, das Erstellen von Screenshots, das Generieren von Testcode, das Web Scraping der Seite und die Ausführung von JavaScript in einer realen Browserumgebung.\n\n## Screenshot\n\n![Dramatiker + Claude](image/playwright_claude.png)\n\n## [Dokumentation](https://executeautomation.github.io/mcp-playwright/) | [API-Referenz](https://executeautomation.github.io/mcp-playwright/docs/playwright-web/Supported-Tools)\n\n## Installation\n\nSie können das Paket entweder mit npm, mcp-get oder Smithery installieren:\n\nVerwenden von npm:\n\n```bash\nnpm install -g @executeautomation/playwright-mcp-server\n```\n\nVerwenden von mcp-get:\n\n```bash\nnpx @michaellatman/mcp-get@latest install @executeautomation/playwright-mcp-server\n```\n\nSchmiedekunst verwenden\n\nSo installieren Sie Playwright MCP für Claude Desktop automatisch über [Smithery](https://smithery.ai/server/@executeautomation/playwright-mcp-server) :\n\n```bash\nnpx @smithery/cli install @executeautomation/playwright-mcp-server --client claude\n```\n\n#### Installation in VS Code\n\nInstallieren Sie den Playwright MCP-Server in VS Code mit einer dieser Schaltflächen:\n\nAlternativ können Sie den Playwright MCP-Server mithilfe der VS Code CLI installieren:\n\n```bash\n# For VS Code\ncode --add-mcp '{\"name\":\"playwright\",\"command\":\"npx\",\"args\":[\"@executeautomation/playwright-mcp-server\"]}'\n```\n\n```bash\n# For VS Code Insiders\ncode-insiders --add-mcp '{\"name\":\"playwright\",\"command\":\"npx\",\"args\":[\"@executeautomation/playwright-mcp-server\"]}'\n```\n\nNach der Installation steht der ExecuteAutomation Playwright MCP-Server zur Verwendung mit Ihrem GitHub Copilot-Agent in VS Code zur Verfügung.\n\n## Konfiguration zur Verwendung von Playwright Server\n\nHier ist die Claude Desktop-Konfiguration zur Verwendung des Playwright-Servers:\n\n```json\n{\n \"mcpServers\": {\n \"playwright\": {\n \"command\": \"npx\",\n \"args\": [\"-y\", \"@executeautomation/playwright-mcp-server\"]\n }\n }\n}\n```\n\n## Testen\n\nDieses Projekt verwendet Jest zum Testen. Die Tests befinden sich im Verzeichnis `src/__tests__` .\n\n### Ausführen von Tests\n\nSie können die Tests mit einem der folgenden Befehle ausführen:\n\n```bash\n# Run tests using the custom script (with coverage)\nnode run-tests.cjs\n\n# Run tests using npm scripts\nnpm test # Run tests without coverage\nnpm run test:coverage # Run tests with coverage\nnpm run test:custom # Run tests with custom script (same as node run-tests.cjs)\n```\n\nDer Testabdeckungsbericht wird im `coverage` generiert.\n\n### Ausführen von Evaluierungen\n\nDas Evals-Paket lädt einen MCP-Client, der anschließend die Datei index.ts ausführt, sodass zwischen den Tests kein Neuaufbau erforderlich ist. Sie können Umgebungsvariablen laden, indem Sie dem Befehl npx voranstellen. Die vollständige Dokumentation finden Sie [hier](https://www.mcpevals.io/docs) .\n\n```bash\nOPENAI_API_KEY=your-key npx mcp-eval src/evals/evals.ts src/tools/codegen/index.ts\n```\n\n## Sternengeschichte\n\n[![Sternenverlaufsdiagramm](https://api.star-history.com/svg?repos=executeautomation/mcp-playwright\\&type=Date)](https://star-history.com/#executeautomation/mcp-playwright\\&Date)","German","tag","de-DE",{"_27":39,"_31":43,"_36":44},{"_29":40,"_31":41,"_33":42},"A Model Context Protocol server that provides browser automation capabilities using Playwright, enabling LLMs to interact with web pages, take screenshots, generate test code, scrape web content, and execute JavaScript in real browser environments.","Playwright MCP Server","

\n ^{Special thanks to:}\n
\n
\n \n $\"Warp$ \n \n\n### [Warp, the AI terminal for developers](https://www.warp.dev/?utm_source=github&utm_medium=referral&utm_campaign=mcp-playwright)\n[Available for MacOS, Linux, & Windows](https://www.warp.dev/?utm_source=github&utm_medium=referral&utm_campaign=mcp-playwright)
\n\n

\n\n# Playwright MCP Server 🎭\n\n[![smithery badge](https://smithery.ai/badge/@executeautomation/playwright-mcp-server)](https://smithery.ai/server/@executeautomation/playwright-mcp-server)\n\nA Model Context Protocol server that provides browser automation capabilities using Playwright. This server enables LLMs to interact with web pages, take screenshots, generate test code, web scraps the page and execute JavaScript in a real browser environment.\n\n $\"mcp-playwright$ \n\n## Screenshot\n![Playwright + Claude](image/playwright_claude.png)\n\n## [Documentation](https://executeautomation.github.io/mcp-playwright/) | [API reference](https://executeautomation.github.io/mcp-playwright/docs/playwright-web/Supported-Tools)\n\n## Installation\n\nYou can install the package using either npm, mcp-get, or Smithery:\n\nUsing npm:\n```bash\nnpm install -g @executeautomation/playwright-mcp-server\n```\n\nUsing mcp-get:\n```bash\nnpx @michaellatman/mcp-get@latest install @executeautomation/playwright-mcp-server\n```\nUsing Smithery\n\nTo install Playwright MCP for Claude Desktop automatically via [Smithery](https://smithery.ai/server/@executeautomation/playwright-mcp-server):\n\n```bash\nnpx @smithery/cli install @executeautomation/playwright-mcp-server --client claude\n```\n#### Installation in VS Code\n\nInstall the Playwright MCP server in VS Code using one of these buttons:\n\n\n\n[ $\"Install$ ](https://insiders.vscode.dev/redirect?url=vscode%3Amcp%2Finstall%3F%257B%2522name%2522%253A%2522playwright%2522%252C%2522command%2522%253A%2522npx%2522%252C%2522args%2522%253A%255B%2522-y%2522%252C%2522%2540executeautomation%252Fplaywright-mcp-server%2522%255D%257D) \n[ $\"Install$ ](https://insiders.vscode.dev/redirect?url=vscode-insiders%3Amcp%2Finstall%3F%257B%2522name%2522%253A%2522playwright%2522%252C%2522command%2522%253A%2522npx%2522%252C%2522args%2522%253A%255B%2522-y%2522%252C%2522%2540executeautomation%252Fplaywright-mcp-server%2522%255D%257D)\n\nAlternatively, you can install the Playwright MCP server using the VS Code CLI:\n\n```bash\n# For VS Code\ncode --add-mcp '{\"name\":\"playwright\",\"command\":\"npx\",\"args\":[\"@executeautomation/playwright-mcp-server\"]}'\n```\n\n```bash\n# For VS Code Insiders\ncode-insiders --add-mcp '{\"name\":\"playwright\",\"command\":\"npx\",\"args\":[\"@executeautomation/playwright-mcp-server\"]}'\n```\n\nAfter installation, the ExecuteAutomation Playwright MCP server will be available for use with your GitHub Copilot agent in VS Code.\n\n## Configuration to use Playwright Server\nHere's the Claude Desktop configuration to use the Playwright server:\n\n```json\n{\n \"mcpServers\": {\n \"playwright\": {\n \"command\": \"npx\",\n \"args\": [\"-y\", \"@executeautomation/playwright-mcp-server\"]\n }\n }\n}\n```\n\n## Testing\n\nThis project uses Jest for testing. The tests are located in the `src/__tests__` directory.\n\n### Running Tests\n\nYou can run the tests using one of the following commands:\n\n```bash\n# Run tests using the custom script (with coverage)\nnode run-tests.cjs\n\n# Run tests using npm scripts\nnpm test # Run tests without coverage\nnpm run test:coverage # Run tests with coverage\nnpm run test:custom # Run tests with custom script (same as node run-tests.cjs)\n```\n\nThe test coverage report will be generated in the `coverage` directory.\n\n### Running evals\n\nThe evals package loads an mcp client that then runs the index.ts file, so there is no need to rebuild between tests. You can load environment variables by prefixing the npx command. Full documentation can be found [here](https://www.mcpevals.io/docs).\n\n```bash\nOPENAI_API_KEY=your-key npx mcp-eval src/evals/evals.ts src/tools/codegen/index.ts\n```\n\n## Star History\n\n[![Star History Chart](https://api.star-history.com/svg?repos=executeautomation/mcp-playwright&type=Date)](https://star-history.com/#executeautomation/mcp-playwright&Date)","English","en-US",{"_27":46,"_31":50,"_36":51},{"_29":47,"_31":48,"_33":49},"Un servidor de protocolo de contexto de modelo que proporciona capacidades de automatización del navegador mediante Playwright, lo que permite a los LLM interactuar con páginas web, tomar capturas de pantalla, generar código de prueba, extraer contenido web y ejecutar JavaScript en entornos de navegador reales.","Servidor MCP del dramaturgo","### [Warp, la terminal de IA para desarrolladores](https://www.warp.dev/?utm_source=github\\&utm_medium=referral\\&utm_campaign=mcp-playwright)\n\n[Disponible para MacOS, Linux y Windows](https://www.warp.dev/?utm_source=github\\&utm_medium=referral\\&utm_campaign=mcp-playwright)\n\n# Servidor MCP de dramaturgo 🎭\n\n[![insignia de herrería](https://smithery.ai/badge/@executeautomation/playwright-mcp-server)](https://smithery.ai/server/@executeautomation/playwright-mcp-server)\n\nUn servidor de Protocolo de Contexto de Modelo que proporciona funciones de automatización del navegador mediante Playwright. Este servidor permite a los LLM interactuar con páginas web, tomar capturas de pantalla, generar código de prueba, extraer fragmentos web de la página y ejecutar JavaScript en un entorno de navegador real.\n\n## Captura de pantalla\n\n![Dramaturgo + Claude](image/playwright_claude.png)\n\n## [Documentación](https://executeautomation.github.io/mcp-playwright/) | [Referencia de API](https://executeautomation.github.io/mcp-playwright/docs/playwright-web/Supported-Tools)\n\n## Instalación\n\nPuede instalar el paquete utilizando npm, mcp-get o Smithery:\n\nUsando npm:\n\n```bash\nnpm install -g @executeautomation/playwright-mcp-server\n```\n\nUsando mcp-get:\n\n```bash\nnpx @michaellatman/mcp-get@latest install @executeautomation/playwright-mcp-server\n```\n\nUso de herrería\n\nPara instalar Playwright MCP para Claude Desktop automáticamente a través de [Smithery](https://smithery.ai/server/@executeautomation/playwright-mcp-server) :\n\n```bash\nnpx @smithery/cli install @executeautomation/playwright-mcp-server --client claude\n```\n\n#### Instalación en VS Code\n\nInstale el servidor Playwright MCP en VS Code usando uno de estos botones:\n\nAlternativamente, puede instalar el servidor Playwright MCP usando la CLI de VS Code:\n\n```bash\n# For VS Code\ncode --add-mcp '{\"name\":\"playwright\",\"command\":\"npx\",\"args\":[\"@executeautomation/playwright-mcp-server\"]}'\n```\n\n```bash\n# For VS Code Insiders\ncode-insiders --add-mcp '{\"name\":\"playwright\",\"command\":\"npx\",\"args\":[\"@executeautomation/playwright-mcp-server\"]}'\n```\n\nDespués de la instalación, el servidor ExecuteAutomation Playwright MCP estará disponible para su uso con su agente GitHub Copilot en VS Code.\n\n## Configuración para utilizar Playwright Server\n\nAquí está la configuración de Claude Desktop para utilizar el servidor Playwright:\n\n```json\n{\n \"mcpServers\": {\n \"playwright\": {\n \"command\": \"npx\",\n \"args\": [\"-y\", \"@executeautomation/playwright-mcp-server\"]\n }\n }\n}\n```\n\n## Pruebas\n\nEste proyecto utiliza Jest para las pruebas. Las pruebas se encuentran en el directorio `src/__tests__` .\n\n### Ejecución de pruebas\n\nPuede ejecutar las pruebas utilizando uno de los siguientes comandos:\n\n```bash\n# Run tests using the custom script (with coverage)\nnode run-tests.cjs\n\n# Run tests using npm scripts\nnpm test # Run tests without coverage\nnpm run test:coverage # Run tests with coverage\nnpm run test:custom # Run tests with custom script (same as node run-tests.cjs)\n```\n\nEl informe de cobertura de la prueba se generará en el directorio `coverage` .\n\n### Ejecución de evaluaciones\n\nEl paquete evals carga un cliente mcp que ejecuta el archivo index.ts, por lo que no es necesario reconstruir entre pruebas. Puede cargar variables de entorno prefijando el comando npx. Puede encontrar la documentación completa [aquí](https://www.mcpevals.io/docs) .\n\n```bash\nOPENAI_API_KEY=your-key npx mcp-eval src/evals/evals.ts src/tools/codegen/index.ts\n```\n\n## Historia de las estrellas\n\n[![Gráfico de la historia de las estrellas](https://api.star-history.com/svg?repos=executeautomation/mcp-playwright\\&type=Date)](https://star-history.com/#executeautomation/mcp-playwright\\&Date)","Spanish","es-ES",{"_27":53,"_31":57,"_36":58},{"_29":54,"_31":55,"_33":56},"Playwright を使用してブラウザ自動化機能を提供するモデルコンテキストプロトコルサーバー。LLM が Web ページを操作したり、スクリーンショットを撮ったり、テストコードを生成したり、Web コンテンツをスクレイピングしたり、実際のブラウザ環境で JavaScript を実行したりできるようになります。","Playwright MCP サーバー","### [開発者向けAIターミナル「Warp」](https://www.warp.dev/?utm_source=github\\&utm_medium=referral\\&utm_campaign=mcp-playwright)\n\n[MacOS、Linux、Windowsで利用可能](https://www.warp.dev/?utm_source=github\\&utm_medium=referral\\&utm_campaign=mcp-playwright)\n\n# Playwright MCP サーバー 🎭\n\n[![鍛冶屋のバッジ](https://smithery.ai/badge/@executeautomation/playwright-mcp-server)](https://smithery.ai/server/@executeautomation/playwright-mcp-server)\n\nPlaywrightを用いたブラウザ自動化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Webページとのインタラクション、スクリーンショットの取得、テストコードの生成、ページのWebスクレイピング、そして実際のブラウザ環境でのJavaScript実行が可能になります。\n\n## スクリーンショット\n\n![劇作家 + クロード](image/playwright_claude.png)\n\n## [ドキュメント](https://executeautomation.github.io/mcp-playwright/)| [APIリファレンス](https://executeautomation.github.io/mcp-playwright/docs/playwright-web/Supported-Tools)\n\n## インストール\n\nnpm、mcp-get、Smithery のいずれかを使用してパッケージをインストールできます。\n\nnpm を使用する場合:\n\n```bash\nnpm install -g @executeautomation/playwright-mcp-server\n```\n\nmcp-get の使用:\n\n```bash\nnpx @michaellatman/mcp-get@latest install @executeautomation/playwright-mcp-server\n```\n\n鍛冶屋を使う\n\n[Smithery](https://smithery.ai/server/@executeautomation/playwright-mcp-server)経由で Claude Desktop 用の Playwright MCP を自動的にインストールするには:\n\n```bash\nnpx @smithery/cli install @executeautomation/playwright-mcp-server --client claude\n```\n\n#### VS Codeでのインストール\n\n次のいずれかのボタンを使用して、VS Code に Playwright MCP サーバーをインストールします。\n\nあるいは、VS Code CLI を使用して Playwright MCP サーバーをインストールすることもできます。\n\n```bash\n# For VS Code\ncode --add-mcp '{\"name\":\"playwright\",\"command\":\"npx\",\"args\":[\"@executeautomation/playwright-mcp-server\"]}'\n```\n\n```bash\n# For VS Code Insiders\ncode-insiders --add-mcp '{\"name\":\"playwright\",\"command\":\"npx\",\"args\":[\"@executeautomation/playwright-mcp-server\"]}'\n```\n\nインストール後、ExecuteAutomation Playwright MCP サーバーを VS Code の GitHub Copilot エージェントで使用できるようになります。\n\n## Playwright Serverを使用するための設定\n\nPlaywright サーバーを使用するための Claude Desktop の構成は次のとおりです。\n\n```json\n{\n \"mcpServers\": {\n \"playwright\": {\n \"command\": \"npx\",\n \"args\": [\"-y\", \"@executeautomation/playwright-mcp-server\"]\n }\n }\n}\n```\n\n## テスト\n\nこのプロジェクトではテストにJestを使用しています。テストは`src/__tests__`ディレクトリにあります。\n\n### テストの実行\n\n次のいずれかのコマンドを使用してテストを実行できます。\n\n```bash\n# Run tests using the custom script (with coverage)\nnode run-tests.cjs\n\n# Run tests using npm scripts\nnpm test # Run tests without coverage\nnpm run test:coverage # Run tests with coverage\nnpm run test:custom # Run tests with custom script (same as node run-tests.cjs)\n```\n\nテストカバレッジレポートは、 `coverage`ディレクトリに生成されます。\n\n### 評価の実行\n\nevalsパッケージはmcpクライアントをロードし、index.tsファイルを実行するため、テスト間で再構築する必要はありません。npxコマンドの先頭に環境変数をロードすることもできます。完全なドキュメントは[こちらで](https://www.mcpevals.io/docs)ご覧いただけます。\n\n```bash\nOPENAI_API_KEY=your-key npx mcp-eval src/evals/evals.ts src/tools/codegen/index.ts\n```\n\n## スターの歴史\n\n[![星の歴史チャート](https://api.star-history.com/svg?repos=executeautomation/mcp-playwright\\&type=Date)](https://star-history.com/#executeautomation/mcp-playwright\\&Date)","Japanese","ja-JP",{"_27":60,"_31":64,"_36":65},{"_29":61,"_31":62,"_33":63},"Playwright를 사용하여 브라우저 자동화 기능을 제공하는 모델 컨텍스트 프로토콜 서버로, LLM이 웹 페이지와 상호 작용하고, 스크린샷을 찍고, 테스트 코드를 생성하고, 웹 콘텐츠를 스크래핑하고, 실제 브라우저 환경에서 JavaScript를 실행할 수 있도록 합니다.","극작가 MCP 서버","### [개발자를 위한 AI 터미널, 워프](https://www.warp.dev/?utm_source=github\\&utm_medium=referral\\&utm_campaign=mcp-playwright)\n\n[MacOS, Linux 및 Windows에서 사용 가능](https://www.warp.dev/?utm_source=github\\&utm_medium=referral\\&utm_campaign=mcp-playwright)\n\n# 극작가 MCP 서버 🎭\n\n[![대장간 배지](https://smithery.ai/badge/@executeautomation/playwright-mcp-server)](https://smithery.ai/server/@executeautomation/playwright-mcp-server)\n\nPlaywright를 사용하여 브라우저 자동화 기능을 제공하는 모델 컨텍스트 프로토콜 서버입니다. 이 서버를 통해 LLM은 웹 페이지와 상호 작용하고, 스크린샷을 찍고, 테스트 코드를 생성하고, 페이지를 웹 스크랩하고, 실제 브라우저 환경에서 JavaScript를 실행할 수 있습니다.\n\n## 스크린샷\n\n![극작가 + 클로드](image/playwright_claude.png)\n\n## [문서](https://executeautomation.github.io/mcp-playwright/) | [API 참조](https://executeautomation.github.io/mcp-playwright/docs/playwright-web/Supported-Tools)\n\n## 설치\n\nnpm, mcp-get 또는 Smithery를 사용하여 패키지를 설치할 수 있습니다.\n\nnpm 사용하기:\n\n지엑스피1\n\nmcp-get을 사용합니다.\n\n```bash\nnpx @michaellatman/mcp-get@latest install @executeautomation/playwright-mcp-server\n```\n\n대장간 사용\n\n[Smithery를](https://smithery.ai/server/@executeautomation/playwright-mcp-server) 통해 Claude Desktop용 Playwright MCP를 자동으로 설치하려면:\n\n```bash\nnpx @smithery/cli install @executeautomation/playwright-mcp-server --client claude\n```\n\n#### VS Code에 설치\n\n다음 버튼 중 하나를 사용하여 VS Code에 Playwright MCP 서버를 설치하세요.\n\n또는 VS Code CLI를 사용하여 Playwright MCP 서버를 설치할 수 있습니다.\n\n```bash\n# For VS Code\ncode --add-mcp '{\"name\":\"playwright\",\"command\":\"npx\",\"args\":[\"@executeautomation/playwright-mcp-server\"]}'\n```\n\n```bash\n# For VS Code Insiders\ncode-insiders --add-mcp '{\"name\":\"playwright\",\"command\":\"npx\",\"args\":[\"@executeautomation/playwright-mcp-server\"]}'\n```\n\n설치 후 ExecuteAutomation Playwright MCP 서버를 VS Code의 GitHub Copilot 에이전트와 함께 사용할 수 있습니다.\n\n## Playwright Server를 사용하기 위한 구성\n\nPlaywright 서버를 사용하기 위한 Claude Desktop 구성은 다음과 같습니다.\n\n```json\n{\n \"mcpServers\": {\n \"playwright\": {\n \"command\": \"npx\",\n \"args\": [\"-y\", \"@executeautomation/playwright-mcp-server\"]\n }\n }\n}\n```\n\n## 테스트\n\n이 프로젝트에서는 Jest를 사용하여 테스트합니다. 테스트는 `src/__tests__` 디렉터리에 있습니다.\n\n### 테스트 실행\n\n다음 명령 중 하나를 사용하여 테스트를 실행할 수 있습니다.\n\n```bash\n# Run tests using the custom script (with coverage)\nnode run-tests.cjs\n\n# Run tests using npm scripts\nnpm test # Run tests without coverage\nnpm run test:coverage # Run tests with coverage\nnpm run test:custom # Run tests with custom script (same as node run-tests.cjs)\n```\n\n테스트 커버리지 보고서는 `coverage` 디렉토리에 생성됩니다.\n\n### 실행 평가\n\nevals 패키지는 index.ts 파일을 실행하는 mcp 클라이언트를 로드하므로 테스트 사이에 다시 빌드할 필요가 없습니다. npx 명령 앞에 접두사를 붙여 환경 변수를 로드할 수 있습니다. 전체 문서는 [여기에서](https://www.mcpevals.io/docs) 확인할 수 있습니다.\n\n```bash\nOPENAI_API_KEY=your-key npx mcp-eval src/evals/evals.ts src/tools/codegen/index.ts\n```\n\n## 스타 역사\n\n[![별 역사 차트](https://api.star-history.com/svg?repos=executeautomation/mcp-playwright\\&type=Date)](https://star-history.com/#executeautomation/mcp-playwright\\&Date)","Korean","ko-KR",{"_27":67,"_31":71,"_36":72},{"_29":68,"_31":69,"_33":70},"Сервер Model Context Protocol, который предоставляет возможности автоматизации браузера с помощью Playwright, позволяя LLM взаимодействовать с веб-страницами, делать снимки экрана, генерировать тестовый код, извлекать веб-контент и выполнять JavaScript в реальных браузерных средах.","Драматург MCP Сервер","### [Warp, терминал искусственного интеллекта для разработчиков](https://www.warp.dev/?utm_source=github\\&utm_medium=referral\\&utm_campaign=mcp-playwright)\n\n[Доступно для MacOS, Linux и Windows](https://www.warp.dev/?utm_source=github\\&utm_medium=referral\\&utm_campaign=mcp-playwright)\n\n# Драматург MCP Сервер 🎭\n\n[![значок кузнеца](https://smithery.ai/badge/@executeautomation/playwright-mcp-server)](https://smithery.ai/server/@executeautomation/playwright-mcp-server)\n\nСервер Model Context Protocol, который предоставляет возможности автоматизации браузера с помощью Playwright. Этот сервер позволяет LLM взаимодействовать с веб-страницами, делать снимки экрана, генерировать тестовый код, выполнять веб-скрапинг страницы и выполнять JavaScript в реальной среде браузера.\n\n## Скриншот\n\n![Драматург + Клод](image/playwright_claude.png)\n\n## [Документация](https://executeautomation.github.io/mcp-playwright/) | [Справочник API](https://executeautomation.github.io/mcp-playwright/docs/playwright-web/Supported-Tools)\n\n## Установка\n\nВы можете установить пакет с помощью npm, mcp-get или Smithery:\n\nИспользование npm:\n\n```bash\nnpm install -g @executeautomation/playwright-mcp-server\n```\n\nИспользование mcp-get:\n\n```bash\nnpx @michaellatman/mcp-get@latest install @executeautomation/playwright-mcp-server\n```\n\nИспользование кузнечного дела\n\nЧтобы автоматически установить Playwright MCP для Claude Desktop через [Smithery](https://smithery.ai/server/@executeautomation/playwright-mcp-server) :\n\n```bash\nnpx @smithery/cli install @executeautomation/playwright-mcp-server --client claude\n```\n\n#### Установка в VS Code\n\nУстановите сервер Playwright MCP в VS Code с помощью одной из этих кнопок:\n\nКроме того, вы можете установить сервер Playwright MCP с помощью VS Code CLI:\n\n```bash\n# For VS Code\ncode --add-mcp '{\"name\":\"playwright\",\"command\":\"npx\",\"args\":[\"@executeautomation/playwright-mcp-server\"]}'\n```\n\n```bash\n# For VS Code Insiders\ncode-insiders --add-mcp '{\"name\":\"playwright\",\"command\":\"npx\",\"args\":[\"@executeautomation/playwright-mcp-server\"]}'\n```\n\nПосле установки сервер ExecuteAutomation Playwright MCP будет доступен для использования с вашим агентом GitHub Copilot в VS Code.\n\n## Конфигурация для использования Playwright Server\n\nВот конфигурация Claude Desktop для использования сервера Playwright:\n\n```json\n{\n \"mcpServers\": {\n \"playwright\": {\n \"command\": \"npx\",\n \"args\": [\"-y\", \"@executeautomation/playwright-mcp-server\"]\n }\n }\n}\n```\n\n## Тестирование\n\nВ этом проекте для тестирования используется Jest. Тесты находятся в каталоге `src/__tests__` .\n\n### Проведение тестов\n\nВы можете запустить тесты, используя одну из следующих команд:\n\n```bash\n# Run tests using the custom script (with coverage)\nnode run-tests.cjs\n\n# Run tests using npm scripts\nnpm test # Run tests without coverage\nnpm run test:coverage # Run tests with coverage\nnpm run test:custom # Run tests with custom script (same as node run-tests.cjs)\n```\n\nОтчет о покрытии тестами будет сформирован в каталоге `coverage` .\n\n### Запуск оценок\n\nПакет evals загружает клиент mcp, который затем запускает файл index.ts, поэтому нет необходимости перестраиваться между тестами. Вы можете загрузить переменные среды, указав префикс команды npx. Полную документацию можно найти [здесь](https://www.mcpevals.io/docs) .\n\n```bash\nOPENAI_API_KEY=your-key npx mcp-eval src/evals/evals.ts src/tools/codegen/index.ts\n```\n\n## История Звезды\n\n[![Звездная история диаграммы](https://api.star-history.com/svg?repos=executeautomation/mcp-playwright\\&type=Date)](https://star-history.com/#executeautomation/mcp-playwright\\&Date)","Russian","ru-RU",{"_27":74,"_31":78,"_36":79},{"_29":75,"_31":76,"_33":77},"模型上下文协议服务器使用 Playwright 提供浏览器自动化功能，使 LLM 能够在真实浏览器环境中与网页交互、截取屏幕截图、生成测试代码、抓取网页内容和执行 JavaScript。","剧作家 MCP 服务器","### [Warp，开发者的AI终端](https://www.warp.dev/?utm_source=github\\&utm_medium=referral\\&utm_campaign=mcp-playwright)\n\n[适用于 MacOS、Linux 和 Windows](https://www.warp.dev/?utm_source=github\\&utm_medium=referral\\&utm_campaign=mcp-playwright)\n\n# 剧作家 MCP 服务器🎭\n\n[![铁匠徽章](https://smithery.ai/badge/@executeautomation/playwright-mcp-server)](https://smithery.ai/server/@executeautomation/playwright-mcp-server)\n\n一个使用 Playwright 提供浏览器自动化功能的模型上下文协议 (MLM) 服务器。该服务器使 LLM 能够与网页交互、截取屏幕截图、生成测试代码、从网页中提取网页数据，并在真实的浏览器环境中执行 JavaScript。\n\n## 截屏\n\n![剧作家+克劳德](image/playwright_claude.png)\n\n## [文档](https://executeautomation.github.io/mcp-playwright/)| [API 参考](https://executeautomation.github.io/mcp-playwright/docs/playwright-web/Supported-Tools)\n\n## 安装\n\n您可以使用 npm、mcp-get 或 Smithery 安装该软件包：\n\n使用 npm：\n\n```bash\nnpm install -g @executeautomation/playwright-mcp-server\n```\n\n使用 mcp-get：\n\n```bash\nnpx @michaellatman/mcp-get@latest install @executeautomation/playwright-mcp-server\n```\n\n使用 Smithery\n\n要通过[Smithery](https://smithery.ai/server/@executeautomation/playwright-mcp-server)自动为 Claude Desktop 安装 Playwright MCP：\n\n```bash\nnpx @smithery/cli install @executeautomation/playwright-mcp-server --client claude\n```\n\n#### 在 VS Code 中安装\n\n使用以下按钮之一在 VS Code 中安装 Playwright MCP 服务器：\n\n或者，您可以使用 VS Code CLI 安装 Playwright MCP 服务器：\n\n```bash\n# For VS Code\ncode --add-mcp '{\"name\":\"playwright\",\"command\":\"npx\",\"args\":[\"@executeautomation/playwright-mcp-server\"]}'\n```\n\n```bash\n# For VS Code Insiders\ncode-insiders --add-mcp '{\"name\":\"playwright\",\"command\":\"npx\",\"args\":[\"@executeautomation/playwright-mcp-server\"]}'\n```\n\n安装后，ExecuteAutomation Playwright MCP 服务器将可与 VS Code 中的 GitHub Copilot 代理一起使用。\n\n## 使用 Playwright Server 的配置\n\n以下是使用 Playwright 服务器的 Claude Desktop 配置：\n\n```json\n{\n \"mcpServers\": {\n \"playwright\": {\n \"command\": \"npx\",\n \"args\": [\"-y\", \"@executeautomation/playwright-mcp-server\"]\n }\n }\n}\n```\n\n## 测试\n\n该项目使用 Jest 进行测试。测试位于`src/__tests__`目录中。\n\n### 运行测试\n\n您可以使用以下命令之一运行测试：\n\n```bash\n# Run tests using the custom script (with coverage)\nnode run-tests.cjs\n\n# Run tests using npm scripts\nnpm test # Run tests without coverage\nnpm run test:coverage # Run tests with coverage\nnpm run test:custom # Run tests with custom script (same as node run-tests.cjs)\n```\n\n测试覆盖率报告将在`coverage`目录中生成。\n\n### 运行评估\n\nevals 包会加载一个 mcp 客户端，然后运行 index.ts 文件，因此测试之间无需重新构建。您可以通过在 npx 命令前添加前缀来加载环境变量。完整文档可[在此处](https://www.mcpevals.io/docs)找到。\n\n```bash\nOPENAI_API_KEY=your-key npx mcp-eval src/evals/evals.ts src/tools/codegen/index.ts\n```\n\n## 星史\n\n[![星空历史图](https://api.star-history.com/svg?repos=executeautomation/mcp-playwright\\&type=Date)](https://star-history.com/#executeautomation/mcp-playwright\\&Date)","Chinese","zh-CN","githubUser","locale",{"_83":84,"_13":85,"_95":40,"_96":40,"_16":97,"_98":99,"_31":41,"_118":119,"_126":127,"_128":129,"_168":169,"_174":-5,"_106":146,"_175":176,"_109":177,"_178":179},"addedAt","2025-05-20T12:01:53.814733Z",[86,87,88,89,90,91,92,93,94],"category:browser-automation","category:web-scraping","category:testing-and-qa-tools","environment:local","hosting:hybrid","language:typescript","security_grade:a","quality_grade:a","license_grade:a","descriptionMarkdown","descriptionPlainText",6923,"integrations",[100,111],{"_101":102,"_29":108,"_109":110},"brand",{"_103":104,"_31":105,"_106":107},"logoSvgPath","M23.922 16.997C23.061 18.492 18.063 22.02 12 22.02 5.937 22.02.939 18.492.078 16.997A.641.641 0 0 1 0 16.741v-2.869a.883.883 0 0 1 .053-.22c.372-.935 1.347-2.292 2.605-2.656.167-.429.414-1.055.644-1.517a10.098 10.098 0 0 1-.052-1.086c0-1.331.282-2.499 1.132-3.368.397-.406.89-.717 1.474-.952C7.255 2.937 9.248 1.98 11.978 1.98c2.731 0 4.767.957 6.166 2.093.584.235 1.077.546 1.474.952.85.869 1.132 2.037 1.132 3.368 0 .368-.014.733-.052 1.086.23.462.477 1.088.644 1.517 1.258.364 2.233 1.721 2.605 2.656a.841.841 0 0 1 .053.22v2.869a.641.641 0 0 1-.078.256Zm-11.75-5.992h-.344a4.359 4.359 0 0 1-.355.508c-.77.947-1.918 1.492-3.508 1.492-1.725 0-2.989-.359-3.782-1.259a2.137 2.137 0 0 1-.085-.104L4 11.746v6.585c1.435.779 4.514 2.179 8 2.179 3.486 0 6.565-1.4 8-2.179v-6.585l-.098-.104s-.033.045-.085.104c-.793.9-2.057 1.259-3.782 1.259-1.59 0-2.738-.545-3.508-1.492a4.359 4.359 0 0 1-.355-.508Zm2.328 3.25c.549 0 1 .451 1 1v2c0 .549-.451 1-1 1-.549 0-1-.451-1-1v-2c0-.549.451-1 1-1Zm-5 0c.549 0 1 .451 1 1v2c0 .549-.451 1-1 1-.549 0-1-.451-1-1v-2c0-.549.451-1 1-1Zm3.313-6.185c.136 1.057.403 1.913.878 2.497.442.544 1.134.938 2.344.938 1.573 0 2.292-.337 2.657-.751.384-.435.558-1.15.558-2.361 0-1.14-.243-1.847-.705-2.319-.477-.488-1.319-.862-2.824-1.025-1.487-.161-2.192.138-2.533.529-.269.307-.437.808-.438 1.578v.021c0 .265.021.562.063.893Zm-1.626 0c.042-.331.063-.628.063-.894v-.02c-.001-.77-.169-1.271-.438-1.578-.341-.391-1.046-.69-2.533-.529-1.505.163-2.347.537-2.824 1.025-.462.472-.705 1.179-.705 2.319 0 1.211.175 1.926.558 2.361.365.414 1.084.751 2.657.751 1.21 0 1.902-.394 2.344-.938.475-.584.742-1.44.878-2.497Z","GitHub Copilot","slug","github-copilot","Provides browser automation capabilities for GitHub Copilot agents in VS Code, allowing interaction with web pages and automated web testing functions.","uid","v37wm4m4kr",{"_101":112,"_29":116,"_109":117},{"_103":113,"_31":114,"_106":115},"M12.035 2.723h9.253A2.712 2.712 0 0 1 24 5.435v10.529a2.712 2.712 0 0 1-2.712 2.713H8.047Zm-1.681 2.6L6.766 19.677h5.598l-.399 1.6H2.712A2.712 2.712 0 0 1 0 18.565V8.036a2.712 2.712 0 0 1 2.712-2.712Z","Warp","warp","Mentioned as a sponsor, with integration capabilities for terminal-based browser automation across MacOS, Linux, and Windows.","6dn0morwx2","namespace",{"_120":121,"_106":125},"owner",{"_122":123},"githubAccount",{"_124":125},"login","BhanuTJ93","redditPostExternalId","1kr3dhb","repository",{"_130":-5,"_131":132,"_135":136,"_155":-5,"_156":157,"_158":159,"_163":164},"argumentsJsonSchema","githubProject",{"_33":42,"_133":134},"url","https://github.com/BhanuTJ93/MCP","githubRepository",{"_137":138,"_139":140,"_141":142,"_16":143,"_144":145,"_31":146,"_120":147,"_149":150,"_151":152,"_154":150},"defaultBranch","main","fullName","BhanuTJ93/MCP","githubTreeId",350688,14131,"language","TypeScript","MCP",{"_124":125,"_109":148},"qd5YbmQXhP","recentStargazers",0,"spdxLicense",{"_31":153},"MIT License","stargazers","glamaJson","inspectable",true,"npmPackage",{"_31":160,"_161":162},"@executeautomation/playwright-mcp-server","weeklyDownloads",7992,"supportedPlatforms",[165,166,167],"WINDOWS","LINUX","MACOS","scores",{"_170":171,"_172":171,"_173":171},"license",100,"quality","security","simpleIcon","toolCount",31,"3yodv9josd","updatedAt","2025-09-24T16:26:10.800592Z","meta",[182,185,187,194,197,199,202,205,208,211,214,216,219,222,224,226,228,230,232],{"_183":184},"title","Playwright MCP Server | Glama",{"_186":40,"_31":29},"content",{"_188":189,"_190":191,"_192":193},"href","https://glama.ai/mcp/servers/@BhanuTJ93/MCP","rel","canonical","tagName","link",{"_186":41,"_195":196},"property","og:title",{"_186":40,"_195":198},"og:description",{"_186":200,"_195":201},"https://glama.ai/logo.png","og:logo",{"_186":203,"_195":204},"https://glama.ai/mcp/servers/@BhanuTJ93/MCP/og-image","og:image",{"_186":206,"_195":207},"630","og:image:height",{"_186":209,"_195":210},"1200","og:image:width",{"_186":212,"_195":213},"website","og:type",{"_186":189,"_195":215},"og:url",{"_186":217,"_195":218},"Glama – MCP Hosting Platform","og:site_name",{"_186":220,"_31":221},"summary_large_image","twitter:card",{"_186":217,"_31":223},"twitter:title",{"_186":40,"_31":225},"twitter:description",{"_186":203,"_31":227},"twitter:image",{"_186":206,"_31":229},"twitter:image:height",{"_186":209,"_31":231},"twitter:image:width",{"_233":234},"script:ld+json",{"_235":236,"_237":238},"@context","http://schema.org","@graph",[239],{"_235":240,"_241":242,"_243":244},"https://schema.org","@type","BreadcrumbList","itemListElement",[245,252,255,259],{"_241":246,"_247":248,"_31":249,"_250":251},"ListItem","item","/","Glama","position",1,{"_241":246,"_247":253,"_31":146,"_250":254},"/mcp",2,{"_241":246,"_247":256,"_31":257,"_250":258},"/mcp/servers","Servers",3,{"_241":246,"_247":260,"_31":41,"_250":261},"/mcp/servers/@BhanuTJ93/MCP",4,"visitorIsMaintainer",false,"routes/_public/mcp/servers/~namespace/~slug/_pages/_explorer/blob/~commit/~/_route",{"_266":267,"_27":273,"_291":292,"_180":306,"_303":330,"_331":332},"blob",{"_186":268,"_269":270,"_271":272},"\n","fileName","EA-Icon.svg","size",2327,{"_83":84,"_13":274,"_95":40,"_96":40,"_16":97,"_98":275,"_31":41,"_118":280,"_126":127,"_128":283,"_168":290,"_174":-5,"_106":146,"_175":176,"_109":177,"_178":179},[86,87,88,89,90,91,92,93,94],[276,278],{"_101":277,"_29":108,"_109":110},{"_103":104,"_31":105,"_106":107},{"_101":279,"_29":116,"_109":117},{"_103":113,"_31":114,"_106":115},{"_120":281,"_106":125},{"_122":282},{"_124":125},{"_130":-5,"_131":284,"_135":285,"_155":-5,"_156":157,"_158":288,"_163":289},{"_33":42,"_133":134},{"_137":138,"_139":140,"_141":142,"_16":143,"_144":145,"_31":146,"_120":286,"_149":150,"_151":287,"_154":150},{"_124":125,"_109":148},{"_31":153},{"_31":160,"_161":162},[165,166,167],{"_170":171,"_172":171,"_173":171},"member",{"_293":294,"_297":298,"_299":300,"_141":301,"_302":157,"_303":270,"_304":157,"_271":272,"_305":266},"commit",{"_295":296},"sha","172536334b42f41de32dd1c39526d2bd31976f47","contentStoredObjectPointerId",457245,"fullPath","docs/static/img/EA-Icon.svg",350673,"indexable","path","safeToDisplayAsText","type",[307,309,311,313,315,316,317,319,320,321,322,323,324,325,326,327,328,329],{"_183":308},"EA-Icon.svg | Playwright MCP Server | Glama",{"_186":310,"_31":29},"Enterprise-grade security, privacy, and features like agents, MCP, prompt templates, and more.",{"_188":312,"_190":191,"_192":193},"https://glama.ai/mcp/servers/@BhanuTJ93/MCP/blob/172536334b42f41de32dd1c39526d2bd31976f47/docs/static/img",{"_186":314,"_195":196},"EA-Icon.svg | Playwright MCP Server",{"_186":310,"_195":198},{"_186":200,"_195":201},{"_186":318,"_195":204},"https://glama.ai/generated-images/og?title=EA-Icon.svg+%7C+Playwright+MCP+Server",{"_186":206,"_195":207},{"_186":209,"_195":210},{"_186":212,"_195":213},{"_186":312,"_195":215},{"_186":217,"_195":218},{"_186":220,"_31":221},{"_186":217,"_31":223},{"_186":310,"_31":225},{"_186":318,"_31":227},{"_186":206,"_31":229},{"_186":209,"_31":231},"docs/static/img","treeMembers",[333,337,341,345,347,351,355,359,363,367,371,375],{"_293":334,"_299":335,"_303":336,"_305":266},{"_295":296},"docs/static/img/docusaurus.png","docusaurus.png",{"_293":338,"_299":339,"_303":340,"_305":266},{"_295":296},"docs/static/img/docusaurus-social-card.jpg","docusaurus-social-card.jpg",{"_293":342,"_299":343,"_303":344,"_305":266},{"_295":296},"docs/static/img/EA-Icon.jpg","EA-Icon.jpg",{"_293":346,"_299":300,"_303":270,"_305":266},{"_295":296},{"_293":348,"_299":349,"_303":350,"_305":266},{"_295":296},"docs/static/img/easy-to-use.svg","easy-to-use.svg",{"_293":352,"_299":353,"_303":354,"_305":266},{"_295":296},"docs/static/img/favicon.ico","favicon.ico",{"_293":356,"_299":357,"_303":358,"_305":266},{"_295":296},"docs/static/img/logo.svg","logo.svg",{"_293":360,"_299":361,"_303":362,"_305":266},{"_295":296},"docs/static/img/node.svg","node.svg",{"_293":364,"_299":365,"_303":366,"_305":266},{"_295":296},"docs/static/img/playwright.svg","playwright.svg",{"_293":368,"_299":369,"_303":370,"_305":266},{"_295":296},"docs/static/img/undraw_docusaurus_mountain.svg","undraw_docusaurus_mountain.svg",{"_293":372,"_299":373,"_303":374,"_305":266},{"_295":296},"docs/static/img/undraw_docusaurus_react.svg","undraw_docusaurus_react.svg",{"_293":376,"_299":377,"_303":378,"_305":266},{"_295":296},"docs/static/img/undraw_docusaurus_tree.svg","undraw_docusaurus_tree.svg","actionData","errors"]

MCP directory API