[{"_1":2,"_347":-5,"_348":-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",8817910,"membership","referenceId","0197cc96-976d-74e1-98b5-db64541084fe","userAccount","routes/_public/_layout",{},"routes/_public/mcp/servers/~namespace/~slug/_pages/_layout",{"_26":27,"_68":-5,"_69":28,"_29":70,"_183":184,"_265":123},"availableLocales",[28,40,47,54,61],{"_29":30,"_33":37,"_38":39},"mcpServer",{"_31":32,"_33":34,"_35":36},"description","MCP server enabling LLMs to perform browser tasks via SSE transport, allowing clients like Cursor.ai and Claude to open websites and interact with web content through natural language commands.","name","browser-use MCP Server","readme","# ➡️ browser-use mcp server\n\n[browser-use](https://github.com/browser-use/browser-use) MCP Server with SSE\ntransport\n\n### requirements\n\n- uv\n\n```\ncurl -LsSf https://astral.sh/uv/install.sh | sh\n```\n\n### quickstart\n\n```\nuv sync\nuv pip install playwright\nuv run playwright install --with-deps --no-shell chromium\nuv run server --port 8000\n```\n\n- the .env requires the following:\n\n```\nOPENAI_API_KEY=[your api key]\nCHROME_PATH=[only change this if you have a custom chrome build]\n```\n\n- we will be adding support for other LLM providers to power browser-use\n (claude, grok, bedrock, etc)\n\nwhen building the dockerfile you can add in your own VNC server password:\n\n```\ndocker build --build-arg VNC_PASSWORD=klaatubaradanikto .\n```\n\n### tools\n\n- [x] SSE transport\n- [x] browser_use - Initiates browser tasks with URL and action\n- [x] browser_get_result - Retrieves results of async browser tasks\n\n### supported clients\n\n- cursor.ai\n- claude desktop\n- claude code\n- ~~windsurf~~ ([windsurf](https://codeium.com/windsurf) doesn't support SSE\n yet)\n\n### usage\n\nafter running the server, add http://localhost:8000/sse to your client UI, or in\na mcp.json file:\n\n```json\n{\n \"mcpServers\": {\n \"browser-use-mcp-server\": {\n \"url\": \"http://localhost:8000/sse\"\n }\n }\n}\n```\n\n#### cursor\n\n- `./.cursor/mcp.json`\n\n#### windsurf\n\n- `~/.codeium/windsurf/mcp_config.json`\n\n#### claude\n\n- `~/Library/Application Support/Claude/claude_desktop_config.json`\n- `%APPDATA%\\Claude\\claude_desktop_config.json`\n\nthen try asking your LLM the following:\n\n`open https://news.ycombinator.com and return the top ranked article`\n\n### help\n\nfor issues or interest reach out @ https://cobrowser.xyz\n\n# stars\n\n

\n","English","tag","en-US",{"_29":41,"_33":45,"_38":46},{"_31":42,"_33":43,"_35":44},"Servidor MCP que permite a los LLM realizar tareas de navegador a través del transporte SSE, lo que permite a clientes como Cursor.ai y Claude abrir sitios web e interactuar con contenido web a través de comandos de lenguaje natural.","Servidor MCP para uso del navegador","# ➡️ Servidor mcp que utiliza el navegador\n\nServidor MCP [para uso en navegador](https://github.com/browser-use/browser-use) con transporte SSE\n\n### requisitos\n\n* ultravioleta\n\n```\ncurl -LsSf https://astral.sh/uv/install.sh | sh\n```\n\n### inicio rápido\n\n```\nuv sync\nuv pip install playwright\nuv run playwright install --with-deps --no-shell chromium\nuv run server --port 8000\n```\n\n* El .env requiere lo siguiente:\n\n```\nOPENAI_API_KEY=[your api key]\nCHROME_PATH=[only change this if you have a custom chrome build]\n```\n\n* Agregaremos soporte para otros proveedores de LLM para potenciar el uso del navegador (Claude, Grok, Bedrock, etc.)\n\nAl crear el archivo Docker, puede agregar su propia contraseña de servidor VNC:\n\n```\ndocker build --build-arg VNC_PASSWORD=klaatubaradanikto .\n```\n\n### herramientas\n\n* \\[x] Transporte SSE\n* \\[x] browser\\_use - Inicia tareas del navegador con URL y acción\n* \\[x] browser\\_get\\_result - Recupera los resultados de las tareas asincrónicas del navegador\n\n### clientes apoyados\n\n* cursor.ai\n* Claude Desktop\n* Claude Code\n* Windsurf ( [windsurf](https://codeium.com/windsurf) aún no es compatible con SSE)\n\n### uso\n\nDespués de ejecutar el servidor, agregue a la interfaz de usuario de su cliente o en un archivo mcp.json:\n\n```json\n{\n \"mcpServers\": {\n \"browser-use-mcp-server\": {\n \"url\": \"http://localhost:8000/sse\"\n }\n }\n}\n```\n\n#### cursor\n\n* `./.cursor/mcp.json`\n\n#### windsurf\n\n* `~/.codeium/windsurf/mcp_config.json`\n\n#### claudio\n\n* `~/Library/Application Support/Claude/claude_desktop_config.json`\n* `%APPDATA%\\Claude\\claude_desktop_config.json`\n\nEntonces intenta preguntarle a tu LLM lo siguiente:\n\n`open https://news.ycombinator.com and return the top ranked article`\n\n### ayuda\n\nPara problemas o intereses, contáctenos en \n\n# estrellas","Spanish","es-ES",{"_29":48,"_33":52,"_38":53},{"_31":49,"_33":50,"_35":51},"MCP サーバーは、LLM が SSE トランスポートを介してブラウザタスクを実行できるようにし、Cursor.ai や Claude などのクライアントが Web サイトを開き、自然言語コマンドを使用して Web コンテンツを操作できるようにします。","ブラウザ用MCPサーバー","# ➡️ ブラウザ用 mcp サーバー\n\nSSEトランスポート[を備えたブラウザ](https://github.com/browser-use/browser-use)用MCPサーバー\n\n### 要件\n\n* 紫外線\n\n```\ncurl -LsSf https://astral.sh/uv/install.sh | sh\n```\n\n### クイックスタート\n\n```\nuv sync\nuv pip install playwright\nuv run playwright install --with-deps --no-shell chromium\nuv run server --port 8000\n```\n\n* .env には次のものが必要です。\n\n```\nOPENAI_API_KEY=[your api key]\nCHROME_PATH=[only change this if you have a custom chrome build]\n```\n\n* ブラウザでの使用を強化するために、他の LLM プロバイダーのサポートも追加する予定です (claude、grok、bedrock など)\n\ndockerfile を構築するときに、独自の VNC サーバーパスワードを追加できます。\n\n```\ndocker build --build-arg VNC_PASSWORD=klaatubaradanikto .\n```\n\n### ツール\n\n* \\[x] SSE輸送\n* \\[x] browser\\_use - URLとアクションでブラウザタスクを開始する\n* \\[x] browser\\_get\\_result - 非同期ブラウザタスクの結果を取得します\n\n### サポートされているクライアント\n\n* カーソル.ai\n* クロードデスクトップ\n* クロード・コード\n* windsurf ( [windsurf は](https://codeium.com/windsurf)まだ SSE をサポートしていません)\n\n### 使用法\n\nサーバーを実行した後、クライアント UI または mcp.json ファイルにを追加します。\n\n```json\n{\n \"mcpServers\": {\n \"browser-use-mcp-server\": {\n \"url\": \"http://localhost:8000/sse\"\n }\n }\n}\n```\n\n#### カーソル\n\n* `./.cursor/mcp.json`\n\n#### ウィンドサーフィン\n\n* `~/.codeium/windsurf/mcp_config.json`\n\n#### クロード\n\n* `~/Library/Application Support/Claude/claude_desktop_config.json`\n* `%APPDATA%\\Claude\\claude_desktop_config.json`\n\nLLM に次の質問をしてみてください。\n\n`open https://news.ycombinator.com and return the top ranked article`\n\n### ヘルプ\n\n問題や関心がある場合は、にお問い合わせください。\n\n# 星","Japanese","ja-JP",{"_29":55,"_33":59,"_38":60},{"_31":56,"_33":57,"_35":58},"SSE 전송을 통해 LLM이 브라우저 작업을 수행할 수 있도록 하는 MCP 서버를 통해 Cursor.ai 및 Claude와 같은 클라이언트가 자연어 명령을 통해 웹사이트를 열고 웹 콘텐츠와 상호 작용할 수 있습니다.","브라우저 사용 MCP 서버","# ➡️ 브라우저-mcp 서버 사용\n\n[브라우저-SSE 전송을 사용하는](https://github.com/browser-use/browser-use) MCP 서버\n\n### 요구 사항\n\n* 자외선\n\n지엑스피1\n\n### 빠른 시작\n\n```\nuv sync\nuv pip install playwright\nuv run playwright install --with-deps --no-shell chromium\nuv run server --port 8000\n```\n\n* .env에는 다음이 필요합니다.\n\n```\nOPENAI_API_KEY=[your api key]\nCHROME_PATH=[only change this if you have a custom chrome build]\n```\n\n* 우리는 브라우저 사용을 강화하기 위해 다른 LLM 공급자(Claude, Grok, Bedrock 등)에 대한 지원을 추가할 것입니다.\n\nDockerfile을 빌드할 때 고유한 VNC 서버 비밀번호를 추가할 수 있습니다.\n\n```\ndocker build --build-arg VNC_PASSWORD=klaatubaradanikto .\n```\n\n### 도구\n\n* \\[x] SSE 운송\n* \\[x] browser\\_use - URL 및 작업으로 브라우저 작업을 시작합니다.\n* \\[x] browser\\_get\\_result - 비동기 브라우저 작업의 결과를 검색합니다.\n\n### 지원되는 클라이언트\n\n* 커서.ai\n* 클로드 데스크탑\n* 클로드 코드\n* windsurf ( [windsurf는](https://codeium.com/windsurf) 아직 SSE를 지원하지 않습니다)\n\n### 용법\n\n서버를 실행한 후 클라이언트 UI나 mcp.json 파일에 를 추가합니다.\n\n```json\n{\n \"mcpServers\": {\n \"browser-use-mcp-server\": {\n \"url\": \"http://localhost:8000/sse\"\n }\n }\n}\n```\n\n#### 커서\n\n* `./.cursor/mcp.json`\n\n#### 윈드서핑\n\n* `~/.codeium/windsurf/mcp_config.json`\n\n#### 클로드\n\n* `~/Library/Application Support/Claude/claude_desktop_config.json`\n* `%APPDATA%\\Claude\\claude_desktop_config.json`\n\n그러면 LLM에 다음과 같이 질문해보세요.\n\n`open https://news.ycombinator.com and return the top ranked article`\n\n### 돕다\n\n문제나 관심 사항이 있으시면 로 문의해 주세요.\n\n# 별","Korean","ko-KR",{"_29":62,"_33":66,"_38":67},{"_31":63,"_33":64,"_35":65},"MCP 服务器使 LLM 能够通过 SSE 传输执行浏览器任务，允许 Cursor.ai 和 Claude 等客户端打开网站并通过自然语言命令与网络内容进行交互。","浏览器使用的 MCP 服务器","# ➡️ 浏览器使用 mcp 服务器\n\n[浏览器使用](https://github.com/browser-use/browser-use)带有 SSE 传输的 MCP 服务器\n\n### 要求\n\n* 紫外线\n\n```\ncurl -LsSf https://astral.sh/uv/install.sh | sh\n```\n\n### 快速入门\n\n```\nuv sync\nuv pip install playwright\nuv run playwright install --with-deps --no-shell chromium\nuv run server --port 8000\n```\n\n* .env 要求如下：\n\n```\nOPENAI_API_KEY=[your api key]\nCHROME_PATH=[only change this if you have a custom chrome build]\n```\n\n* 我们将增加对其他 LLM 提供商的支持以支持浏览器使用（claude、grok、bedrock 等）\n\n在构建 dockerfile 时，您可以添加自己的 VNC 服务器密码：\n\n```\ndocker build --build-arg VNC_PASSWORD=klaatubaradanikto .\n```\n\n### 工具\n\n* \\[x] SSE 传输\n* \\[x] browser\\_use - 使用 URL 和操作启动浏览器任务\n* \\[x] browser\\_get\\_result - 检索异步浏览器任务的结果\n\n### 支持的客户机\n\n* 光标.ai\n* 克劳德桌面\n* 克劳德代码\n* windsurf（ [windsurf](https://codeium.com/windsurf)尚不支持 SSE）\n\n### 用法\n\n运行服务器后，将添加到客户端 UI 或 mcp.json 文件中：\n\n```json\n{\n \"mcpServers\": {\n \"browser-use-mcp-server\": {\n \"url\": \"http://localhost:8000/sse\"\n }\n }\n}\n```\n\n#### 光标\n\n* `./.cursor/mcp.json`\n\n#### 风帆冲浪\n\n* `~/.codeium/windsurf/mcp_config.json`\n\n#### 克劳德\n\n* `~/Library/Application Support/Claude/claude_desktop_config.json`\n* `%APPDATA%\\Claude\\claude_desktop_config.json`\n\n然后尝试向你的法学硕士询问以下问题：\n\n`open https://news.ycombinator.com and return the top ranked article`\n\n### 帮助\n\n如有问题或感兴趣请联系@ \n\n# 星星","Chinese","zh-CN","githubUser","locale",{"_71":72,"_73":74,"_13":88,"_94":32,"_95":32,"_96":97,"_100":101,"_120":-5,"_16":121,"_122":123,"_124":125,"_33":34,"_164":113,"_165":-5,"_166":-5,"_167":-5,"_168":-5,"_169":170,"_174":-5,"_132":109,"_175":176,"_179":-5,"_114":180,"_181":182},"addedAt","2025-03-21T11:16:03.286286463Z","argumentsJsonSchema",{"_75":76,"_85":86,"_80":87},"properties",{"_77":78,"_82":83},"CHROME_PATH",{"_31":79,"_80":81},"Path to Chrome executable (only change if you have a custom Chrome build)","type","string","OPENAI_API_KEY",{"_31":84,"_80":81},"Your OpenAI API 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MCP directory API