[{"_1":2,"_478":-5,"_479":-5},"loaderData",{"_3":4,"_22":23,"_24":25,"_371":372},"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",9107327,"membership","referenceId","0197f0d6-0bbc-747e-ba6b-1b28716f3455","userAccount","routes/_public/_layout",{},"routes/_public/mcp/servers/~namespace/~slug/_pages/_layout",{"_26":27,"_82":-5,"_83":40,"_29":84,"_288":289,"_370":199},"availableLocales",[28,40,47,54,61,68,75],{"_29":30,"_33":37,"_38":39},"mcpServer",{"_31":32,"_33":34,"_35":36},"description","Ein Model Context Protocol-Server, der skalierbare mobile Automatisierung über eine plattformunabhängige Schnittstelle für iOS- und Android-Geräte ermöglicht und es Agenten und LLMs ermöglicht, mithilfe von Zugänglichkeits-Snapshots oder koordinatenbasierten Interaktionen mit mobilen Anwendungen zu interagieren.","name","Mobiler Next MCP-Server","readme","# Mobile Next – MCP-Server für mobile Entwicklung und Automatisierung | iOS, Android, Simulator, Emulator und physische Geräte\n\nDies ist ein [Model Context Protocol (MCP)-Server](https://github.com/modelcontextprotocol) , der skalierbare mobile Automatisierung und Entwicklung über eine plattformunabhängige Schnittstelle ermöglicht und so spezielle iOS- oder Android-Kenntnisse überflüssig macht. Sie können ihn auf Emulatoren, Simulatoren und physischen Geräten (iOS und Android) ausführen. Dieser Server ermöglicht Agenten und LLMs die Interaktion mit nativen iOS-/Android-Anwendungen und -Geräten durch strukturierte Zugänglichkeits-Snapshots oder koordinatenbasiertes Tippen auf der Grundlage von Screenshots.\n\n\n\n### 🚀 Mobile MCP-Roadmap: Die Zukunft des Mobilfunks gestalten\n\nBegleiten Sie uns auf unserer Reise und entwickeln Sie Mobile MCP kontinuierlich weiter! Sehen Sie sich unsere detaillierte Roadmap an, um zukünftige Funktionen, Verbesserungen und Meilensteine kennenzulernen. Ihr Feedback ist für die Gestaltung der Zukunft der mobilen Automatisierung von unschätzbarem Wert.\n\n👉 [Erkunden Sie die Roadmap](https://github.com/orgs/mobile-next/projects/3)\n\n### Hauptanwendungsfälle\n\nSo helfen wir bei der Skalierung der mobilen Automatisierung:\n\n* 📲 Native App-Automatisierung (iOS und Android) für Test- oder Dateneingabeszenarien.\n* 📝 Geskriptete Abläufe und Formularinteraktionen ohne manuelle Steuerung von Simulatoren/Emulatoren oder physischen Geräten (iPhone, Samsung, Google Pixel usw.)\n* 🧭 Automatisierung mehrstufiger Benutzerreisen, die von einem LLM gesteuert werden\n* 👆 Allgemeine Interaktion mit mobilen Anwendungen für agentenbasierte Frameworks\n* 🤖 Ermöglicht Agent-zu-Agent-Kommunikation für mobile Automatisierungsanwendungen und Datenextraktion\n\n## Hauptmerkmale\n\n* 🚀 **Schnell und leichtgewichtig** : Verwendet native Zugänglichkeitsbäume für die meisten Interaktionen oder Screenshot-basierte Koordinaten, wo keine a11y-Beschriftungen verfügbar sind.\n* 🤖 **LLM-freundlich** : In Accessibility (Snapshot) ist kein Computer-Vision-Modell erforderlich.\n* 🧿 **Visueller Sinn** : Bewertet und analysiert, was tatsächlich auf dem Bildschirm dargestellt wird, um die nächste Aktion zu entscheiden. Wenn keine Zugänglichkeitsdaten oder Ansichtshierarchiekoordinaten verfügbar sind, wird auf eine Screenshot-basierte Analyse zurückgegriffen.\n* 📊 **Anwendung deterministischer Tools** : Reduziert Mehrdeutigkeiten, die bei rein auf Screenshots basierenden Ansätzen auftreten, indem, wann immer möglich, auf strukturierte Daten zurückgegriffen wird.\n* 📺 **Strukturierte Daten extrahieren** : Ermöglicht Ihnen, strukturierte Daten aus allem zu extrahieren, was auf dem Bildschirm sichtbar ist.\n\n## 🏗️ Mobile MCP-Architektur\n\n## 📚 Wiki-Seite\n\nWeitere Einzelheiten zu Fragen zu Einrichtung, Konfiguration und Debugging finden Sie auf unserer [Wiki-Seite](https://github.com/mobile-next/mobile-mcp/wiki) .\n\n## Installation und Konfiguration\n\nRichten Sie unser MCP mit Cursor, Claude, VS Code und Github Copilot ein:\n\n```json\n{\n \"mcpServers\": {\n \"mobile-mcp\": {\n \"command\": \"npx\",\n \"args\": [\"-y\", \"@mobilenext/mobile-mcp@latest\"]\n }\n }\n}\n\n```\n\n[Claude Code:](https://docs.anthropic.com/en/docs/agents-and-tools/claude-code/overview)\n\n```\nclaude mcp add mobile -- npx -y @mobilenext/mobile-mcp@latest ⁠\n```\n\n[Lesen Sie mehr in unserem Wiki](https://github.com/mobile-next/mobile-mcp/wiki) ! 🚀\n\n### 🛠️ Anwendung 📝\n\nNachdem Sie den MCP-Server zu Ihrer IDE/Ihrem Client hinzugefügt haben, können Sie Ihren KI-Assistenten anweisen, die verfügbaren Tools zu verwenden. Im Agentenmodus von Cursor können Sie beispielsweise die folgenden Eingabeaufforderungen verwenden, um UI-Interaktionen schnell zu validieren, zu testen und zu iterieren, Informationen vom Bildschirm abzulesen und komplexe Workflows zu durchlaufen. Seien Sie beschreibend und kommen Sie direkt auf den Punkt.\n\n### ✨ Beispiel-Eingabeaufforderungen\n\n#### Workflows\n\nSie können detaillierte Workflows in einer einzigen Eingabeaufforderung festlegen, die Geschäftslogik überprüfen und Automatisierungen einrichten. Sie können sich austoben:\n\n**Suchen Sie nach einem Video, kommentieren Sie es, liken Sie es und teilen Sie es.**\n\n```\nFind the video called \" Beginner Recipe for Tonkotsu Ramen\" by Way of Ramen, click on like video, after liking write a comment \" this was delicious, will make it next Friday\", share the video with the first contact in your whatsapp list. \n```\n\n**Laden Sie eine erfolgreiche Schrittzähler-App herunter, registrieren Sie sich, richten Sie das Training ein und starten Sie die App**\n\n```\nFind and Download a free \"Pomodoro\" app that has more thank 1k stars. \nLaunch the app, register with my email, after registration find how to start a pomodoro timer. \nWhen the pomodoro timer started, go back to the app store and rate the app 5 stars, \nand leave a comment how useful the app is. \n```\n\n**In Substack suchen, Artikel lesen, markieren, kommentieren und speichern**\n\n```\nOpen Substack website, search for \"Latest trends in AI automation 2025\", open the first article, \nhighlight the section titled \"Emerging AI trends\", and save article to reading list for later review, \ncomment a random paragraph summary.\n```\n\n**Reservieren Sie einen Trainingskurs, stellen Sie den Timer ein**\n\n```\nOpen ClassPass, search for yoga classes tomorrow morning within 2 miles, \nbook the highest-rated class at 7 AM, confirm reservation,\n setup a timer for the booked slot in the phone\n```\n\n**Lokale Veranstaltung suchen, Kalenderereignis einrichten**\n\n```\nOpen Eventbrite, search for AI startup meetup events happening this weekend in \"Austin, TX\", \nselect the most popular one, register and RSVP yes to the even, setup a calendar event as a reminder.\n```\n\n**Überprüfen Sie die Wettervorhersage und senden Sie eine WhatsApp-/Telegram-/Slack-Nachricht**\n\n```\nOpen Weather app, check tomorrow's weather forecast for \"Berlin\", and send the summary \nvia Whatsapp/Telegram/Slack to contact \"Lauren Trown\", thumbs up their response.\n```\n\n* **Planen Sie ein Meeting in Zoom und teilen Sie die Einladung per E-Mail**\n\n```\nOpen Zoom app, schedule a meeting titled \"AI Hackathon\" for tomorrow at 10 AM with a duration of 1 hour,\ncopy the invitation link, and send it via Gmail to contacts \"team@example.com\".\n```\n\n## Voraussetzungen\n\nWas Sie benötigen, um MCP mit Ihrem Agenten und Ihren Mobilgeräten zu verbinden:\n\n* [Xcode-Befehlszeilentools](https://developer.apple.com/xcode/resources/)\n* [Android-Plattform-Tools](https://developer.android.com/tools/releases/platform-tools)\n* [node.js](https://nodejs.org/en/download/)\n* [MCP](https://modelcontextprotocol.io/introduction) unterstützte grundlegende Modelle oder Agenten, wie [Claude MCP](https://modelcontextprotocol.io/quickstart/server) , [OpenAI Agent SDK](https://openai.github.io/openai-agents-python/mcp/) , [Copilot Studio](https://www.microsoft.com/en-us/microsoft-copilot/blog/copilot-studio/introducing-model-context-protocol-mcp-in-copilot-studio-simplified-integration-with-ai-apps-and-agents/)\n\n### Simulatoren, Emulatoren und physische Geräte\n\nNach dem Start kann Mobile MCP eine Verbindung herstellen mit:\n\n* iOS-Simulatoren auf macOS/Linux\n* Android-Emulatoren unter Linux/Windows/macOS\n* Physische iOS- oder Android-Geräte (erfordert entsprechende Plattformtools und Treiber)\n\nStellen Sie sicher, dass Sie Ihre mobilen Plattform-SDKs (Xcode, Android SDK) installiert und ordnungsgemäß konfiguriert haben, bevor Sie Mobile Next Mobile MCP ausführen.\n\n### Ausführung im „Headless“-Modus auf Simulatoren/Emulatoren\n\nWenn kein physisches Telefon an Ihren Computer angeschlossen ist, können Sie Mobile MCP mit einem Emulator oder Simulator im Hintergrund ausführen.\n\nBeispielsweise auf Android:\n\n1. Starten Sie einen Emulator (Befehl avdmanager / emulator).\n2. Führen Sie Mobile MCP mit den gewünschten Flags aus\n\nUnter iOS benötigen Sie Xcode und müssen den Simulator ausführen, bevor Sie Mobile MCP mit dieser Simulatorinstanz verwenden.\n\n* `xcrun simctl list`\n* `xcrun simctl boot \"iPhone 16\"`\n\n# Danke an alle Mitwirkenden ❤️\n\n### Wir danken jedem, der dazu beigetragen hat, dieses Projekt zu verbessern.","German","tag","de-DE",{"_29":41,"_33":45,"_38":46},{"_31":42,"_33":43,"_35":44},"A Model Context Protocol server that enables scalable mobile automation through a platform-agnostic interface for iOS and Android devices, allowing agents and LLMs to interact with mobile applications using accessibility snapshots or coordinate-based interactions.","Mobile Next MCP Server","# Mobile Next - MCP server for Mobile Development and Automation | iOS, Android, Simulator, Emulator, and physical devices\n\nThis is a [Model Context Protocol (MCP) server](https://github.com/modelcontextprotocol) that enables scalable mobile automation, development through a platform-agnostic interface, eliminating the need for distinct iOS or Android knowledge. You can run it on emulators, simulators, and physical devices (iOS and Android).\nThis server allows Agents and LLMs to interact with native iOS/Android applications and devices through structured accessibility snapshots or coordinate-based taps based on screenshots. \n\nhttps://github.com/user-attachments/assets/c4e89c4f-cc71-4424-8184-bdbc8c638fa1\n\n\n

\n \n $\"npm\"$ \n \n \n $\"GitHub$ \n \n

\n\n

\n \n $\"mobile-mcp\"$ \n \n

\n\n\n### 🚀 Mobile MCP Roadmap: Building the Future of Mobile\n\nJoin us on our journey as we continuously enhance Mobile MCP! \nCheck out our detailed roadmap to see upcoming features, improvements, and milestones. Your feedback is invaluable in shaping the future of mobile automation.\n\n👉 [Explore the Roadmap](https://github.com/orgs/mobile-next/projects/3)\n\n\n### Main use cases\n\nHow we help to scale mobile automation:\n\n- 📲 Native app automation (iOS and Android) for testing or data-entry scenarios. \n- 📝 Scripted flows and form interactions without manually controlling simulators/emulators or physical devices (iPhone, Samsung, Google Pixel etc)\n- 🧭 Automating multi-step user journeys driven by an LLM\n- 👆 General-purpose mobile application interaction for agent-based frameworks\n- 🤖 Enables agent-to-agent communication for mobile automation usecases, data extraction\n\n## Main Features\n\n- 🚀 **Fast and lightweight**: Uses native accessibility trees for most interactions, or screenshot based coordinates where a11y labels are not available. \n- 🤖 **LLM-friendly**: No computer vision model required in Accessibility (Snapshot).\n- 🧿 **Visual Sense**: Evaluates and analyses what’s actually rendered on screen to decide the next action. If accessibility data or view-hierarchy coordinates are unavailable, it falls back to screenshot-based analysis.\n- 📊 **Deterministic tool application**: Reduces ambiguity found in purely screenshot-based approaches by relying on structured data whenever possible.\n- 📺 **Extract structured data**: Enables you to extract structred data from anything visible on screen. \n\n## 🏗️ Mobile MCP Architecture\n\n

\n \n $\"mobile-mcp\"$ \n \n

\n\n\n## 📚 Wiki page \n\nMore details in our [wiki page](https://github.com/mobile-next/mobile-mcp/wiki) for setup, configuration and debugging related questions.\n\n\n## Installation and configuration\n\nSetup our MCP with Cursor, Claude, VS Code, Github Copilot:\n\n```json\n{\n \"mcpServers\": {\n \"mobile-mcp\": {\n \"command\": \"npx\",\n \"args\": [\"-y\", \"@mobilenext/mobile-mcp@latest\"]\n }\n }\n}\n\n```\n\n[Claude Code:](https://docs.anthropic.com/en/docs/agents-and-tools/claude-code/overview)\n\n```\nclaude mcp add mobile -- npx -y @mobilenext/mobile-mcp@latest ⁠\n```\n\n[Read more in our wiki](https://github.com/mobile-next/mobile-mcp/wiki)! 🚀\n\n\n### 🛠️ How to Use 📝\n\nAfter adding the MCP server to your IDE/Client, you can instruct your AI assistant to use the available tools. \nFor example, in Cursor's agent mode, you could use the prompts below to quickly validate, test and iterate on UI intereactions, read information from screen, go through complex workflows.\nBe descriptive, straight to the point.\n\n### ✨ Example Prompts\n\n#### Workflows\n\nYou can specifiy detailed workflows in a single prompt, verify business logic, setup automations. You can go crazy:\n\n**Search for a video, comment, like and share it.**\n```\nFind the video called \" Beginner Recipe for Tonkotsu Ramen\" by Way of Ramen, click on like video, after liking write a comment \" this was delicious, will make it next Friday\", share the video with the first contact in your whatsapp list. \n```\n\n**Download a successful step counter app, register, setup workout and 5 start the app**\n```\nFind and Download a free \"Pomodoro\" app that has more thank 1k stars. \nLaunch the app, register with my email, after registration find how to start a pomodoro timer. \nWhen the pomodoro timer started, go back to the app store and rate the app 5 stars, \nand leave a comment how useful the app is. \n```\n\n**Search in Substack, read, highlight, comment and save an article**\n```\nOpen Substack website, search for \"Latest trends in AI automation 2025\", open the first article, \nhighlight the section titled \"Emerging AI trends\", and save article to reading list for later review, \ncomment a random paragraph summary.\n```\n\n**Reserve a workout class, set timer**\n```\nOpen ClassPass, search for yoga classes tomorrow morning within 2 miles, \nbook the highest-rated class at 7 AM, confirm reservation,\n setup a timer for the booked slot in the phone\n```\n\n**Find a local event, setup calendar event**\n```\nOpen Eventbrite, search for AI startup meetup events happening this weekend in \"Austin, TX\", \nselect the most popular one, register and RSVP yes to the even, setup a calendar event as a reminder.\n```\n\n**Check weather forecast and send a Whatsapp/Telegram/Slack message**\n```\nOpen Weather app, check tomorrow's weather forecast for \"Berlin\", and send the summary \nvia Whatsapp/Telegram/Slack to contact \"Lauren Trown\", thumbs up their response.\n```\n\n- **Schedule a meeting in Zoom and share invite via email**\n```\nOpen Zoom app, schedule a meeting titled \"AI Hackathon\" for tomorrow at 10 AM with a duration of 1 hour,\ncopy the invitation link, and send it via Gmail to contacts \"team@example.com\".\n```\n\n## Prerequisites\n\nWhat you will need to connect MCP with your agent and mobile devices:\n\n- [Xcode command line tools](https://developer.apple.com/xcode/resources/)\n- [Android Platform Tools](https://developer.android.com/tools/releases/platform-tools)\n- [node.js](https://nodejs.org/en/download/)\n- [MCP](https://modelcontextprotocol.io/introduction) supported foundational models or agents, like [Claude MCP](https://modelcontextprotocol.io/quickstart/server), [OpenAI Agent SDK](https://openai.github.io/openai-agents-python/mcp/), [Copilot Studio](https://www.microsoft.com/en-us/microsoft-copilot/blog/copilot-studio/introducing-model-context-protocol-mcp-in-copilot-studio-simplified-integration-with-ai-apps-and-agents/)\n\n### Simulators, Emulators, and Physical Devices\n\nWhen launched, Mobile MCP can connect to:\n- iOS Simulators on macOS/Linux\n- Android Emulators on Linux/Windows/macOS\n- Physical iOS or Android devices (requires proper platform tools and drivers)\n\nMake sure you have your mobile platform SDKs (Xcode, Android SDK) installed and configured properly before running Mobile Next Mobile MCP.\n\n### Running in \"headless\" mode on Simulators/Emulators\n\nWhen you do not have a physical phone connected to your machine, you can run Mobile MCP with an emulator or simulator in the background.\n\nFor example, on Android:\n1. Start an emulator (avdmanager / emulator command).\n2. Run Mobile MCP with the desired flags\n\nOn iOS, you'll need Xcode and to run the Simulator before using Mobile MCP with that simulator instance.\n- `xcrun simctl list`\n- `xcrun simctl boot \"iPhone 16\"`\n\n# Thanks to all contributors ❤️\n\n### We appreciate everyone who has helped improve this project. \n\n \n

\n \n\n","English","en-US",{"_29":48,"_33":52,"_38":53},{"_31":49,"_33":50,"_35":51},"Un servidor de protocolo de contexto de modelo que permite la automatización móvil escalable a través de una interfaz independiente de la plataforma para dispositivos iOS y Android, lo que permite a los agentes y LLM interactuar con aplicaciones móviles utilizando instantáneas de accesibilidad o interacciones basadas en coordenadas.","Servidor MCP de Mobile Next","# Mobile Next: servidor MCP para desarrollo y automatización móvil | iOS, Android, simulador, emulador y dispositivos físicos\n\nEste es un [servidor de Protocolo de Contexto de Modelo (MCP)](https://github.com/modelcontextprotocol) que permite la automatización móvil escalable y el desarrollo mediante una interfaz independiente de la plataforma, eliminando la necesidad de conocimientos específicos de iOS o Android. Puede ejecutarse en emuladores, simuladores y dispositivos físicos (iOS y Android). Este servidor permite a los agentes y LLM interactuar con aplicaciones y dispositivos nativos de iOS/Android mediante instantáneas de accesibilidad estructuradas o toques basados en coordenadas a partir de capturas de pantalla.\n\n\n\n### Hoja de ruta de MCP móvil: construyendo el futuro de la tecnología móvil\n\n¡Únete a nosotros en nuestro viaje para mejorar continuamente Mobile MCP! Consulta nuestra hoja de ruta detallada para ver las próximas funciones, mejoras y logros. Tus comentarios son invaluables para definir el futuro de la automatización móvil.\n\n👉 [Explora la hoja de ruta](https://github.com/orgs/mobile-next/projects/3)\n\n### Principales casos de uso\n\nCómo ayudamos a escalar la automatización móvil:\n\n* 📲 Automatización de aplicaciones nativas (iOS y Android) para escenarios de prueba o ingreso de datos.\n* 📝 Flujos con scripts e interacciones de formularios sin controlar manualmente simuladores/emuladores o dispositivos físicos (iPhone, Samsung, Google Pixel, etc.)\n* 🧭 Automatizar recorridos de usuario de varios pasos impulsados por un LLM\n* 👆 Interacción de aplicaciones móviles de propósito general para marcos basados en agentes\n* 🤖 Permite la comunicación entre agentes para casos de uso de automatización móvil y extracción de datos.\n\n## Características principales\n\n* 🚀 **Rápido y liviano** : utiliza árboles de accesibilidad nativos para la mayoría de las interacciones o coordenadas basadas en capturas de pantalla donde las etiquetas a11y no están disponibles.\n* **Compatible con LLM** : no se requiere un modelo de visión por computadora en Accesibilidad (Instantánea).\n* 🧿 **Visual Sense** : Evalúa y analiza lo que se muestra en pantalla para decidir la siguiente acción. Si no se dispone de datos de accesibilidad ni de coordenadas de la jerarquía de vistas, recurre al análisis basado en capturas de pantalla.\n* 📊 **Aplicación de herramientas deterministas** : reduce la ambigüedad que se encuentra en los enfoques basados puramente en capturas de pantalla al confiar en datos estructurados siempre que sea posible.\n* 📺 **Extraer datos estructurados** : le permite extraer datos estructurados de cualquier cosa visible en la pantalla.\n\n## 🏗️ Arquitectura MCP móvil\n\n## 📚 Página wiki\n\nMás detalles en nuestra [página wiki](https://github.com/mobile-next/mobile-mcp/wiki) para preguntas relacionadas con la configuración, instalación y depuración.\n\n## Instalación y configuración\n\nConfigurar nuestro MCP con Cursor, Claude, VS Code, Github Copilot:\n\n```json\n{\n \"mcpServers\": {\n \"mobile-mcp\": {\n \"command\": \"npx\",\n \"args\": [\"-y\", \"@mobilenext/mobile-mcp@latest\"]\n }\n }\n}\n\n```\n\n[Código Claude:](https://docs.anthropic.com/en/docs/agents-and-tools/claude-code/overview)\n\n```\nclaude mcp add mobile -- npx -y @mobilenext/mobile-mcp@latest ⁠\n```\n\n[¡Lee más en nuestra wiki](https://github.com/mobile-next/mobile-mcp/wiki) ! 🚀\n\n### 🛠️ Cómo usar 📝\n\nTras añadir el servidor MCP a tu IDE/cliente, puedes indicar a tu asistente de IA que use las herramientas disponibles. Por ejemplo, en el modo agente de Cursor, puedes usar las siguientes indicaciones para validar, probar e iterar rápidamente las interacciones de la interfaz de usuario, leer información de la pantalla y ejecutar flujos de trabajo complejos. Sé descriptivo y directo.\n\n### ✨ Ejemplos de indicaciones\n\n#### Flujos de trabajo\n\nPuedes especificar flujos de trabajo detallados en una sola solicitud, verificar la lógica de negocio y configurar automatizaciones. ¡Puedes darlo todo!\n\n**Busca un vídeo, comenta, dale me gusta y compártelo.**\n\n```\nFind the video called \" Beginner Recipe for Tonkotsu Ramen\" by Way of Ramen, click on like video, after liking write a comment \" this was delicious, will make it next Friday\", share the video with the first contact in your whatsapp list. \n```\n\n**Descargue una aplicación de contador de pasos exitosa, regístrese, configure el entrenamiento e inicie la aplicación.**\n\n```\nFind and Download a free \"Pomodoro\" app that has more thank 1k stars. \nLaunch the app, register with my email, after registration find how to start a pomodoro timer. \nWhen the pomodoro timer started, go back to the app store and rate the app 5 stars, \nand leave a comment how useful the app is. \n```\n\n**Busca en Substack, lee, resalta, comenta y guarda un artículo**\n\n```\nOpen Substack website, search for \"Latest trends in AI automation 2025\", open the first article, \nhighlight the section titled \"Emerging AI trends\", and save article to reading list for later review, \ncomment a random paragraph summary.\n```\n\n**Reserva una clase de entrenamiento, configura el temporizador**\n\n```\nOpen ClassPass, search for yoga classes tomorrow morning within 2 miles, \nbook the highest-rated class at 7 AM, confirm reservation,\n setup a timer for the booked slot in the phone\n```\n\n**Encuentre un evento local, configure un evento en el calendario**\n\n```\nOpen Eventbrite, search for AI startup meetup events happening this weekend in \"Austin, TX\", \nselect the most popular one, register and RSVP yes to the even, setup a calendar event as a reminder.\n```\n\n**Consulta el pronóstico del tiempo y envía un mensaje de WhatsApp/Telegram/Slack**\n\n```\nOpen Weather app, check tomorrow's weather forecast for \"Berlin\", and send the summary \nvia Whatsapp/Telegram/Slack to contact \"Lauren Trown\", thumbs up their response.\n```\n\n* **Programe una reunión en Zoom y comparta la invitación por correo electrónico**\n\n```\nOpen Zoom app, schedule a meeting titled \"AI Hackathon\" for tomorrow at 10 AM with a duration of 1 hour,\ncopy the invitation link, and send it via Gmail to contacts \"team@example.com\".\n```\n\n## Prerrequisitos\n\nLo que necesitarás para conectar MCP con tu agente y dispositivos móviles:\n\n* [Herramientas de línea de comandos de Xcode](https://developer.apple.com/xcode/resources/)\n* [Herramientas de la plataforma Android](https://developer.android.com/tools/releases/platform-tools)\n* [nodo.js](https://nodejs.org/en/download/)\n* Modelos o agentes fundamentales compatibles con [MCP](https://modelcontextprotocol.io/introduction) , como [Claude MCP](https://modelcontextprotocol.io/quickstart/server) , [OpenAI Agent SDK](https://openai.github.io/openai-agents-python/mcp/) y [Copilot Studio](https://www.microsoft.com/en-us/microsoft-copilot/blog/copilot-studio/introducing-model-context-protocol-mcp-in-copilot-studio-simplified-integration-with-ai-apps-and-agents/)\n\n### Simuladores, emuladores y dispositivos físicos\n\nUna vez iniciado, Mobile MCP puede conectarse a:\n\n* Simuladores de iOS en macOS/Linux\n* Emuladores de Android en Linux/Windows/macOS\n* Dispositivos físicos iOS o Android (requiere herramientas y controladores de plataforma adecuados)\n\nAsegúrese de tener los SDK de su plataforma móvil (Xcode, Android SDK) instalados y configurados correctamente antes de ejecutar Mobile Next Mobile MCP.\n\n### Ejecución en modo \"sin cabeza\" en simuladores/emuladores\n\nCuando no tienes un teléfono físico conectado a tu máquina, puedes ejecutar Mobile MCP con un emulador o simulador en segundo plano.\n\nPor ejemplo, en Android:\n\n1. Inicie un emulador (comando avdmanager / emulator).\n2. Ejecute Mobile MCP con las banderas deseadas\n\nEn iOS, necesitarás Xcode y ejecutar el Simulador antes de usar Mobile MCP con esa instancia del simulador.\n\n* `xcrun simctl list`\n* `xcrun simctl boot \"iPhone 16\"`\n\n# Gracias a todos los colaboradores ❤️\n\n### Agradecemos a todos los que han ayudado a mejorar este proyecto.","Spanish","es-ES",{"_29":55,"_33":59,"_38":60},{"_31":56,"_33":57,"_35":58},"iOS および Android デバイスのプラットフォームに依存しないインターフェースを通じてスケーラブルなモバイル自動化を可能にするモデルコンテキストプロトコルサーバー。これにより、エージェントと LLM はアクセシビリティスナップショットまたは座標ベースのインタラクションを使用してモバイルアプリケーションと対話できるようになります。","モバイルネクストMCPサーバー","# Mobile Next - モバイル開発と自動化のためのMCPサーバー | iOS、Android、シミュレーター、エミュレーター、物理デバイス\n\nこれは、スケーラブルなモバイル自動化と、プラットフォームに依存しないインターフェースによる開発を可能にする[モデルコンテキストプロトコル（MCP）サーバー](https://github.com/modelcontextprotocol)です。iOSまたはAndroidの個別の知識は不要です。エミュレーター、シミュレーター、そして実機（iOSおよびAndroid）で実行できます。このサーバーにより、エージェントとLLMは、構造化されたアクセシビリティスナップショットやスクリーンショットに基づく座標ベースのタップを通じて、ネイティブiOS/Androidアプリケーションやデバイスと対話できるようになります。\n\n\n\n### 🚀 モバイル MCP ロードマップ: モバイルの未来を築く\n\nMobile MCPの継続的な改善にご協力ください。今後の機能、改善点、マイルストーンについては、詳細なロードマップをご覧ください。皆様からのフィードバックは、モバイルオートメーションの未来を形作る上で非常に貴重です。\n\n👉[ロードマップを見る](https://github.com/orgs/mobile-next/projects/3)\n\n### 主な使用例\n\nモバイル自動化の拡張を支援する方法:\n\n* 📲 テストまたはデータ入力シナリオ用のネイティブアプリ自動化 (iOS および Android)。\n* 📝 シミュレーター/エミュレーターや物理デバイス（iPhone、Samsung、Google Pixel など）を手動で制御せずに、スクリプト化されたフローとフォームのインタラクションを実行できます。\n* 🧭 LLM を活用した複数ステップのユーザージャーニーの自動化\n* 👆 エージェントベースのフレームワーク向けの汎用モバイルアプリケーションインタラクション\n* 🤖 モバイル自動化ユースケース、データ抽出のためのエージェント間通信を可能にします\n\n## 主な特徴\n\n* 🚀**高速かつ軽量**: ほとんどのインタラクションにはネイティブのアクセシビリティツリーを使用し、a11y ラベルが利用できない場合はスクリーンショットベースの座標を使用します。\n* 🤖 **LLM 対応**: アクセシビリティ (スナップショット) ではコンピュータービジョンモデルは必要ありません。\n* 🧿**視覚認識**：画面上に実際にレンダリングされたものを評価・分析し、次のアクションを決定します。アクセシビリティデータやビュー階層座標が利用できない場合は、スクリーンショットベースの分析にフォールバックします。\n* 📊**決定論的なツールの適用**: 可能な限り構造化されたデータに依存することで、純粋にスクリーンショットベースのアプローチに見られる曖昧さを軽減します。\n* 📺**構造化データの抽出**: 画面に表示されているあらゆるものから構造化データを抽出できます。\n\n## 🏗️ モバイル MCP アーキテクチャ\n\n## 📚 ウィキページ\n\nセットアップ、構成、デバッグ関連の質問については、 [Wiki ページ](https://github.com/mobile-next/mobile-mcp/wiki)の詳細をご覧ください。\n\n## インストールと設定\n\nCursor、Claude、VS Code、Github Copilot を使用して MCP をセットアップします。\n\n```json\n{\n \"mcpServers\": {\n \"mobile-mcp\": {\n \"command\": \"npx\",\n \"args\": [\"-y\", \"@mobilenext/mobile-mcp@latest\"]\n }\n }\n}\n\n```\n\n[クロード・コード:](https://docs.anthropic.com/en/docs/agents-and-tools/claude-code/overview)\n\n```\nclaude mcp add mobile -- npx -y @mobilenext/mobile-mcp@latest ⁠\n```\n\n[詳しくはウィキをご覧ください](https://github.com/mobile-next/mobile-mcp/wiki)！🚀\n\n### 🛠️ 使い方 📝\n\nMCPサーバーをIDE/クライアントに追加したら、AIアシスタントに利用可能なツールを使うように指示できます。例えば、Cursorのエージェントモードでは、以下のプロンプトを使って、UIインタラクションの検証、テスト、反復処理を迅速に実行したり、画面から情報を読み取ったり、複雑なワークフローを実行したりできます。簡潔で分かりやすい指示を心がけてください。\n\n### ✨ 例題プロンプト\n\n#### ワークフロー\n\n詳細なワークフローを1つのプロンプトで指定し、ビジネスロジックを検証し、自動化を設定できます。思いっきり楽しんでください。\n\n**ビデオを検索し、コメントし、いいねして共有します。**\n\n```\nFind the video called \" Beginner Recipe for Tonkotsu Ramen\" by Way of Ramen, click on like video, after liking write a comment \" this was delicious, will make it next Friday\", share the video with the first contact in your whatsapp list. \n```\n\n**成功した歩数計アプリをダウンロードし、登録し、ワークアウトを設定し、5アプリを起動します**\n\n```\nFind and Download a free \"Pomodoro\" app that has more thank 1k stars. \nLaunch the app, register with my email, after registration find how to start a pomodoro timer. \nWhen the pomodoro timer started, go back to the app store and rate the app 5 stars, \nand leave a comment how useful the app is. \n```\n\n**Substackで検索し、記事を読んで、ハイライトし、コメントし、保存する**\n\n```\nOpen Substack website, search for \"Latest trends in AI automation 2025\", open the first article, \nhighlight the section titled \"Emerging AI trends\", and save article to reading list for later review, \ncomment a random paragraph summary.\n```\n\n**ワークアウトクラスを予約し、タイマーを設定する**\n\n```\nOpen ClassPass, search for yoga classes tomorrow morning within 2 miles, \nbook the highest-rated class at 7 AM, confirm reservation,\n setup a timer for the booked slot in the phone\n```\n\n**地元のイベントを検索し、カレンダーイベントを設定する**\n\n```\nOpen Eventbrite, search for AI startup meetup events happening this weekend in \"Austin, TX\", \nselect the most popular one, register and RSVP yes to the even, setup a calendar event as a reminder.\n```\n\n**天気予報をチェックして、Whatsapp/Telegram/Slack メッセージを送信します**\n\n```\nOpen Weather app, check tomorrow's weather forecast for \"Berlin\", and send the summary \nvia Whatsapp/Telegram/Slack to contact \"Lauren Trown\", thumbs up their response.\n```\n\n* **Zoomで会議をスケジュールし、メールで招待状を共有する**\n\n```\nOpen Zoom app, schedule a meeting titled \"AI Hackathon\" for tomorrow at 10 AM with a duration of 1 hour,\ncopy the invitation link, and send it via Gmail to contacts \"team@example.com\".\n```\n\n## 前提条件\n\nMCP をエージェントおよびモバイルデバイスに接続するために必要なもの:\n\n* [Xcodeコマンドラインツール](https://developer.apple.com/xcode/resources/)\n* [Android プラットフォームツール](https://developer.android.com/tools/releases/platform-tools)\n* [ノード.js](https://nodejs.org/en/download/)\n* [MCP は](https://modelcontextprotocol.io/introduction)、 [Claude MCP](https://modelcontextprotocol.io/quickstart/server) 、 [OpenAI Agent SDK](https://openai.github.io/openai-agents-python/mcp/) 、 [Copilot Studio](https://www.microsoft.com/en-us/microsoft-copilot/blog/copilot-studio/introducing-model-context-protocol-mcp-in-copilot-studio-simplified-integration-with-ai-apps-and-agents/)などの基本モデルまたはエージェントをサポートしています。\n\n### シミュレータ、エミュレータ、物理デバイス\n\n起動すると、Mobile MCP は次のものに接続できます。\n\n* macOS/Linux上のiOSシミュレータ\n* Linux/Windows/macOS 上の Android エミュレータ\n* 物理的な iOS または Android デバイス (適切なプラットフォームツールとドライバーが必要)\n\nMobile Next Mobile MCP を実行する前に、モバイルプラットフォーム SDK (Xcode、Android SDK) が適切にインストールされ、構成されていることを確認してください。\n\n### シミュレータ/エミュレータ上で「ヘッドレス」モードで実行する\n\n物理的な電話がマシンに接続されていない場合は、エミュレーターまたはシミュレーターを使用してバックグラウンドで Mobile MCP を実行できます。\n\nたとえば、Android の場合:\n\n1. エミュレータを起動します (avdmanager / emulator コマンド)。\n2. 必要なフラグでモバイルMCPを実行する\n\niOS では、シミュレータインスタンスで Mobile MCP を使用する前に、Xcode とシミュレータを実行する必要があります。\n\n* `xcrun simctl list`\n* `xcrun simctl boot \"iPhone 16\"`\n\n# ご協力いただいた皆様に感謝いたします❤️\n\n### このプロジェクトの改善にご協力いただいた皆様に感謝いたします。","Japanese","ja-JP",{"_29":62,"_33":66,"_38":67},{"_31":63,"_33":64,"_35":65},"iOS 및 Android 기기에서 플랫폼에 독립적인 인터페이스를 통해 확장 가능한 모바일 자동화를 구현하는 모델 컨텍스트 프로토콜 서버로, 에이전트와 LLM이 접근성 스냅샷이나 좌표 기반 상호 작용을 사용하여 모바일 애플리케이션과 상호 작용할 수 있도록 합니다.","모바일 넥스트 MCP 서버","# Mobile Next - 모바일 개발 및 자동화를 위한 MCP 서버 | iOS, Android, 시뮬레이터, 에뮬레이터 및 물리적 장치\n\n이 서버는 확장 가능한 모바일 자동화를 가능하게 하는 [모델 컨텍스트 프로토콜(MCP) 서버](https://github.com/modelcontextprotocol) 로, 플랫폼에 구애받지 않는 인터페이스를 통해 개발되므로 iOS 또는 Android에 대한 별도의 지식이 필요하지 않습니다. 에뮬레이터, 시뮬레이터 및 물리적 기기(iOS 및 Android)에서 실행할 수 있습니다. 이 서버를 통해 에이전트와 LLM은 구조화된 접근성 스냅샷 또는 스크린샷 기반 좌표 기반 탭을 통해 네이티브 iOS/Android 애플리케이션 및 기기와 상호 작용할 수 있습니다.\n\n\n\n### 🚀 모바일 MCP 로드맵: 모바일의 미래 구축\n\n모바일 MCP를 끊임없이 발전시켜 나가는 저희의 여정에 함께해 주세요! 자세한 로드맵을 확인하여 향후 기능, 개선 사항, 그리고 이정표를 살펴보세요. 여러분의 의견은 모바일 자동화의 미래를 만들어가는 데 매우 소중합니다.\n\n👉 [로드맵 탐색](https://github.com/orgs/mobile-next/projects/3)\n\n### 주요 사용 사례\n\n모바일 자동화 확장에 도움이 되는 방법:\n\n* 📲 테스트나 데이터 입력 시나리오를 위한 네이티브 앱 자동화(iOS 및 Android).\n* 📝 시뮬레이터/에뮬레이터 또는 물리적 장치(iPhone, Samsung, Google Pixel 등)를 수동으로 제어하지 않고도 스크립트화된 흐름과 형태 상호 작용이 가능합니다.\n* 🧭 LLM이 주도하는 다단계 사용자 여정 자동화\n* 👆 에이전트 기반 프레임워크를 위한 범용 모바일 애플리케이션 상호 작용\n* 🤖 모바일 자동화 사용 사례, 데이터 추출을 위한 에이전트 간 통신을 지원합니다.\n\n## 주요 특징\n\n* 🚀 **빠르고 가벼움** : 대부분의 상호작용에 기본 접근성 트리를 사용하거나 a11y 레이블을 사용할 수 없는 경우 스크린샷 기반 좌표를 사용합니다.\n* 🤖 **LLM 친화적** : 접근성(스냅샷)에 컴퓨터 비전 모델이 필요하지 않습니다.\n* 🧿 **Visual Sense** : 화면에 실제로 렌더링된 내용을 평가하고 분석하여 다음 동작을 결정합니다. 접근성 데이터나 뷰 계층 좌표를 사용할 수 없는 경우, 스크린샷 기반 분석으로 대체됩니다.\n* 📊 **결정론적 도구 적용** : 가능한 한 구조화된 데이터에 의존함으로써 순전히 스크린샷 기반 접근 방식에서 발견되는 모호성을 줄입니다.\n* 📺 **구조화된 데이터 추출** : 화면에 표시되는 모든 항목에서 구조화된 데이터를 추출할 수 있습니다.\n\n## 🏗️ 모바일 MCP 아키텍처\n\n## 📚 위키 페이지\n\n설정, 구성 및 디버깅 관련 질문에 대한 자세한 내용은 [위키 페이지](https://github.com/mobile-next/mobile-mcp/wiki) 를 참조하세요.\n\n## 설치 및 구성\n\nCursor, Claude, VS Code, Github Copilot을 사용하여 MCP를 설정합니다.\n\n지엑스피1\n\n[클로드 코드:](https://docs.anthropic.com/en/docs/agents-and-tools/claude-code/overview)\n\n```\nclaude mcp add mobile -- npx -y @mobilenext/mobile-mcp@latest ⁠\n```\n\n[더 자세한 내용은 위키에서 읽어보세요](https://github.com/mobile-next/mobile-mcp/wiki) ! 🚀\n\n### 🛠️ 사용 방법 📝\n\nIDE/클라이언트에 MCP 서버를 추가한 후 AI 어시스턴트에게 사용 가능한 도구를 사용하도록 지시할 수 있습니다. 예를 들어, 커서의 에이전트 모드에서 아래 프롬프트를 사용하여 UI 상호작용을 빠르게 검증, 테스트 및 반복하고, 화면에서 정보를 읽고, 복잡한 워크플로를 수행할 수 있습니다. 간결하고 요점만 명확하게 작성하세요.\n\n### ✨ 예시 프롬프트\n\n#### 워크플로\n\n단일 프롬프트에서 세부적인 워크플로를 지정하고, 비즈니스 로직을 검증하고, 자동화를 설정할 수 있습니다. 마음껏 활용하세요:\n\n**영상을 검색하고, 댓글을 달고, '좋아요'를 누르고 공유하세요.**\n\n```\nFind the video called \" Beginner Recipe for Tonkotsu Ramen\" by Way of Ramen, click on like video, after liking write a comment \" this was delicious, will make it next Friday\", share the video with the first contact in your whatsapp list. \n```\n\n**성공적인 걸음 수 측정 앱을 다운로드하고 등록하고 운동을 설정한 후 앱을 시작합니다.**\n\n```\nFind and Download a free \"Pomodoro\" app that has more thank 1k stars. \nLaunch the app, register with my email, after registration find how to start a pomodoro timer. \nWhen the pomodoro timer started, go back to the app store and rate the app 5 stars, \nand leave a comment how useful the app is. \n```\n\n**Substack에서 검색하고, 기사를 읽고, 강조 표시하고, 댓글을 달고 저장합니다.**\n\n```\nOpen Substack website, search for \"Latest trends in AI automation 2025\", open the first article, \nhighlight the section titled \"Emerging AI trends\", and save article to reading list for later review, \ncomment a random paragraph summary.\n```\n\n**운동 수업을 예약하고 타이머를 설정하세요**\n\n```\nOpen ClassPass, search for yoga classes tomorrow morning within 2 miles, \nbook the highest-rated class at 7 AM, confirm reservation,\n setup a timer for the booked slot in the phone\n```\n\n**지역 이벤트 찾기, 캘린더 이벤트 설정**\n\n```\nOpen Eventbrite, search for AI startup meetup events happening this weekend in \"Austin, TX\", \nselect the most popular one, register and RSVP yes to the even, setup a calendar event as a reminder.\n```\n\n**날씨 예보를 확인하고 Whatsapp/Telegram/Slack 메시지를 보내세요**\n\n```\nOpen Weather app, check tomorrow's weather forecast for \"Berlin\", and send the summary \nvia Whatsapp/Telegram/Slack to contact \"Lauren Trown\", thumbs up their response.\n```\n\n* **Zoom에서 회의 일정을 잡고 이메일로 초대장을 공유하세요**\n\n```\nOpen Zoom app, schedule a meeting titled \"AI Hackathon\" for tomorrow at 10 AM with a duration of 1 hour,\ncopy the invitation link, and send it via Gmail to contacts \"team@example.com\".\n```\n\n## 필수 조건\n\nMCP를 에이전트와 모바일 기기에 연결하는 데 필요한 사항:\n\n* [Xcode 명령줄 도구](https://developer.apple.com/xcode/resources/)\n* [안드로이드 플랫폼 도구](https://developer.android.com/tools/releases/platform-tools)\n* [노드.js](https://nodejs.org/en/download/)\n* [MCP는](https://modelcontextprotocol.io/introduction) [Claude MCP](https://modelcontextprotocol.io/quickstart/server) , [OpenAI Agent SDK](https://openai.github.io/openai-agents-python/mcp/) , [Copilot Studio](https://www.microsoft.com/en-us/microsoft-copilot/blog/copilot-studio/introducing-model-context-protocol-mcp-in-copilot-studio-simplified-integration-with-ai-apps-and-agents/) 와 같은 기본 모델 또는 에이전트를 지원합니다.\n\n### 시뮬레이터, 에뮬레이터 및 물리적 장치\n\nMobile MCP를 실행하면 다음에 연결할 수 있습니다.\n\n* macOS/Linux에서 iOS 시뮬레이터\n* Linux/Windows/macOS에서 Android 에뮬레이터 사용\n* 실제 iOS 또는 Android 기기(적절한 플랫폼 도구 및 드라이버 필요)\n\nMobile Next Mobile MCP를 실행하기 전에 모바일 플랫폼 SDK(Xcode, Android SDK)가 올바르게 설치되고 구성되었는지 확인하세요.\n\n### 시뮬레이터/에뮬레이터에서 \"헤드리스\" 모드로 실행\n\n컴퓨터에 실제 전화기가 연결되어 있지 않은 경우 에뮬레이터나 시뮬레이터를 사용하여 백그라운드에서 Mobile MCP를 실행할 수 있습니다.\n\n예를 들어, Android의 경우:\n\n1. 에뮬레이터를 시작합니다(avdmanager / emulator 명령).\n2. 원하는 플래그로 Mobile MCP를 실행하세요\n\niOS에서는 Mobile MCP를 해당 시뮬레이터 인스턴스와 함께 사용하기 전에 Xcode가 필요하고 시뮬레이터를 실행해야 합니다.\n\n* `xcrun simctl list`\n* `xcrun simctl boot \"iPhone 16\"`\n\n# 모든 기여자분들께 감사드립니다 ❤️\n\n### 이 프로젝트를 개선하는 데 도움을 주신 모든 분들께 감사드립니다.","Korean","ko-KR",{"_29":69,"_33":73,"_38":74},{"_31":70,"_33":71,"_35":72},"Сервер протокола контекста модели, который обеспечивает масштабируемую мобильную автоматизацию через платформенно-независимый интерфейс для устройств iOS и Android, позволяя агентам и магистрам уровня управления (LLM) взаимодействовать с мобильными приложениями, используя снимки доступности или взаимодействия на основе координат.","Мобильный сервер Next MCP","# Mobile Next — сервер MCP для мобильной разработки и автоматизации | iOS, Android, симулятор, эмулятор и физические устройства\n\nЭто [сервер Model Context Protocol (MCP)](https://github.com/modelcontextprotocol) , который обеспечивает масштабируемую мобильную автоматизацию, разработку через платформенно-независимый интерфейс, устраняя необходимость в особых знаниях iOS или Android. Вы можете запустить его на эмуляторах, симуляторах и физических устройствах (iOS и Android). Этот сервер позволяет агентам и LLM взаимодействовать с собственными приложениями и устройствами iOS/Android через структурированные снимки доступности или касания на основе координат на основе снимков экрана.\n\n\n\n### 🚀 Дорожная карта MCP для мобильных устройств: создание будущего мобильных устройств\n\nПрисоединяйтесь к нам в нашем путешествии, поскольку мы постоянно улучшаем Mobile MCP! Ознакомьтесь с нашей подробной дорожной картой, чтобы увидеть предстоящие функции, улучшения и вехи. Ваши отзывы бесценны в формировании будущего мобильной автоматизации.\n\n👉 [Изучите дорожную карту](https://github.com/orgs/mobile-next/projects/3)\n\n### Основные варианты использования\n\nКак мы помогаем масштабировать мобильную автоматизацию:\n\n* 📲 Автоматизация собственных приложений (iOS и Android) для сценариев тестирования или ввода данных.\n* 📝 Запрограммированные потоки и взаимодействия форм без ручного управления симуляторами/эмуляторами или физическими устройствами (iPhone, Samsung, Google Pixel и т. д.)\n* 🧭 Автоматизация многоэтапных пользовательских путей под руководством LLM\n* 👆 Универсальное взаимодействие мобильных приложений для фреймворков на основе агентов\n* 🤖 Обеспечивает взаимодействие между агентами для сценариев использования мобильной автоматизации и извлечения данных\n\n## Основные характеристики\n\n* 🚀 **Быстрый и легкий** : использует собственные деревья доступности для большинства взаимодействий или координаты на основе снимков экрана, где метки a11y недоступны.\n* 🤖 **Подходит для LLM** : для Accessibility (Snapshot) не требуется модель компьютерного зрения.\n* 🧿 **Визуальное восприятие** : оценивает и анализирует то, что фактически отображается на экране, чтобы определить следующее действие. Если данные о доступности или координаты иерархии представлений недоступны, он возвращается к анализу на основе снимков экрана.\n* 📊 **Детерминированное применение инструмента** : уменьшает неоднозначность, присущую подходам, основанным исключительно на снимках экрана, полагаясь на структурированные данные, когда это возможно.\n* 📺 **Извлечение структурированных данных** : позволяет извлекать структурированные данные из всего, что отображается на экране.\n\n## 🏗️ Архитектура мобильных MCP\n\n## 📚 Вики-страница\n\nБолее подробную информацию по вопросам настройки, конфигурирования и отладки можно найти на нашей [вики-странице](https://github.com/mobile-next/mobile-mcp/wiki) .\n\n## Установка и настройка\n\nНастройте наш MCP с помощью Cursor, Claude, VS Code, Github Copilot:\n\n```json\n{\n \"mcpServers\": {\n \"mobile-mcp\": {\n \"command\": \"npx\",\n \"args\": [\"-y\", \"@mobilenext/mobile-mcp@latest\"]\n }\n }\n}\n\n```\n\n[Клод Код:](https://docs.anthropic.com/en/docs/agents-and-tools/claude-code/overview)\n\n```\nclaude mcp add mobile -- npx -y @mobilenext/mobile-mcp@latest ⁠\n```\n\n[Подробнее читайте в нашей вики](https://github.com/mobile-next/mobile-mcp/wiki) ! 🚀\n\n### 🛠️ Как использовать 📝\n\nПосле добавления сервера MCP в вашу IDE/клиент вы можете поручить вашему помощнику AI использовать доступные инструменты. Например, в режиме агента Cursor вы можете использовать подсказки ниже для быстрой проверки, тестирования и итерации взаимодействий пользовательского интерфейса, считывания информации с экрана, прохождения сложных рабочих процессов. Будьте описательными, переходите сразу к делу.\n\n### ✨ Примеры подсказок\n\n#### Рабочие процессы\n\nВы можете указать подробные рабочие процессы в одном запросе, проверить бизнес-логику, настроить автоматизацию. Вы можете сойти с ума:\n\n**Найдите видео, прокомментируйте, поставьте лайк и поделитесь им.**\n\n```\nFind the video called \" Beginner Recipe for Tonkotsu Ramen\" by Way of Ramen, click on like video, after liking write a comment \" this was delicious, will make it next Friday\", share the video with the first contact in your whatsapp list. \n```\n\n**Загрузите успешное приложение-счетчик шагов, зарегистрируйтесь, настройте тренировку и запустите приложение.**\n\n```\nFind and Download a free \"Pomodoro\" app that has more thank 1k stars. \nLaunch the app, register with my email, after registration find how to start a pomodoro timer. \nWhen the pomodoro timer started, go back to the app store and rate the app 5 stars, \nand leave a comment how useful the app is. \n```\n\n**Поиск в Substack, чтение, выделение, комментирование и сохранение статьи**\n\n```\nOpen Substack website, search for \"Latest trends in AI automation 2025\", open the first article, \nhighlight the section titled \"Emerging AI trends\", and save article to reading list for later review, \ncomment a random paragraph summary.\n```\n\n**Забронируйте тренировку, установите таймер**\n\n```\nOpen ClassPass, search for yoga classes tomorrow morning within 2 miles, \nbook the highest-rated class at 7 AM, confirm reservation,\n setup a timer for the booked slot in the phone\n```\n\n**Найдите местное событие, настройте календарь событий**\n\n```\nOpen Eventbrite, search for AI startup meetup events happening this weekend in \"Austin, TX\", \nselect the most popular one, register and RSVP yes to the even, setup a calendar event as a reminder.\n```\n\n**Проверьте прогноз погоды и отправьте сообщение в Whatsapp/Telegram/Slack**\n\n```\nOpen Weather app, check tomorrow's weather forecast for \"Berlin\", and send the summary \nvia Whatsapp/Telegram/Slack to contact \"Lauren Trown\", thumbs up their response.\n```\n\n* **Запланируйте встречу в Zoom и отправьте приглашение по электронной почте**\n\n```\nOpen Zoom app, schedule a meeting titled \"AI Hackathon\" for tomorrow at 10 AM with a duration of 1 hour,\ncopy the invitation link, and send it via Gmail to contacts \"team@example.com\".\n```\n\n## Предпосылки\n\nЧто вам понадобится для подключения MCP к вашему агенту и мобильным устройствам:\n\n* [Инструменты командной строки Xcode](https://developer.apple.com/xcode/resources/)\n* [Инструменты платформы Android](https://developer.android.com/tools/releases/platform-tools)\n* [узел.js](https://nodejs.org/en/download/)\n* Поддерживаемые [MCP](https://modelcontextprotocol.io/introduction) базовые модели или агенты, такие как [Claude MCP](https://modelcontextprotocol.io/quickstart/server) , [OpenAI Agent SDK](https://openai.github.io/openai-agents-python/mcp/) , [Copilot Studio](https://www.microsoft.com/en-us/microsoft-copilot/blog/copilot-studio/introducing-model-context-protocol-mcp-in-copilot-studio-simplified-integration-with-ai-apps-and-agents/)\n\n### Симуляторы, эмуляторы и физические устройства\n\nПосле запуска Mobile MCP может подключаться к:\n\n* Симуляторы iOS на macOS/Linux\n* Эмуляторы Android на Linux/Windows/macOS\n* Физические устройства iOS или Android (требуются соответствующие инструменты платформы и драйверы)\n\nПеред запуском Mobile Next Mobile MCP убедитесь, что у вас установлены и правильно настроены SDK для мобильной платформы (Xcode, Android SDK).\n\n### Запуск в режиме «headless» на симуляторах/эмуляторах\n\nЕсли к вашему устройству не подключен физический телефон, вы можете запустить Mobile MCP с эмулятором или симулятором в фоновом режиме.\n\nНапример, на Android:\n\n1. Запустите эмулятор (команда avdmanager / emulator).\n2. Запустить Mobile MCP с нужными флагами\n\nНа iOS вам понадобится Xcode и запустить симулятор перед использованием Mobile MCP с этим экземпляром симулятора.\n\n* `xcrun simctl list`\n* `xcrun simctl boot \"iPhone 16\"`\n\n# Спасибо всем участникам ❤️\n\n### Мы ценим всех, кто помог улучшить этот проект.","Russian","ru-RU",{"_29":76,"_33":80,"_38":81},{"_31":77,"_33":78,"_35":79},"模型上下文协议服务器通过适用于 iOS 和 Android 设备的平台无关界面实现可扩展的移动自动化，允许代理和 LLM 使用可访问性快照或基于坐标的交互与移动应用程序进行交互。","移动下一代 MCP 服务器","# Mobile Next - 用于移动开发和自动化的 MCP 服务器 | iOS、Android、模拟器、仿真器和物理设备\n\n这是一个[模型上下文协议 (MCP) 服务器](https://github.com/modelcontextprotocol)，它支持可扩展的移动自动化开发，通过与平台无关的接口进行开发，无需具备 iOS 或 Android 知识。您可以在模拟器、仿真器和实体设备（iOS 和 Android）上运行它。该服务器允许代理和 LLM 通过结构化的无障碍快照或基于屏幕截图的坐标点击操作与原生 iOS/Android 应用程序和设备进行交互。\n\n\n\n### 🚀 移动 MCP 路线图：构建移动的未来\n\n加入我们，持续增强移动 MCP！查看我们详细的路线图，了解即将推出的功能、改进和里程碑。您的反馈对于塑造移动自动化的未来至关重要。\n\n👉[探索路线图](https://github.com/orgs/mobile-next/projects/3)\n\n### 主要用例\n\n我们如何帮助扩展移动自动化：\n\n* 📲 用于测试或数据输入场景的本机应用程序自动化（iOS 和 Android）。\n* 📝 无需手动控制模拟器/仿真器或物理设备（iPhone、三星、Google Pixel 等）即可编写脚本流程并形成交互\n* 🧭 由 LLM 驱动的自动化多步骤用户旅程\n* 👆 基于代理框架的通用移动应用程序交互\n* 🤖 支持代理与代理之间的通信，用于移动自动化用例和数据提取\n\n## 主要特点\n\n* 🚀**快速轻量**：在大多数交互中使用本机可访问性树，或在 a11y 标签不可用时使用基于屏幕截图的坐标。\n* 🤖 **LLM 友好**：辅助功能（快照）不需要计算机视觉模型。\n* 🧿**视觉感知**：评估并分析屏幕上实际渲染的内容，以决定下一步操作。如果无障碍数据或视图层次结构坐标不可用，则回退到基于屏幕截图的分析。\n* 📊**确定性工具应用程序**：尽可能依赖结构化数据，减少纯基于屏幕截图的方法中发现的歧义。\n* 📺**提取结构化数据**：使您能够从屏幕上可见的任何内容中提取结构化数据。\n\n## 🏗️ 移动 MCP 架构\n\n## 📚 维基页面\n\n有关设置、配置和调试相关问题的更多详细信息，请参阅我们的[wiki 页面](https://github.com/mobile-next/mobile-mcp/wiki)。\n\n## 安装和配置\n\n使用 Cursor、Claude、VS Code、Github Copilot 设置我们的 MCP：\n\n```json\n{\n \"mcpServers\": {\n \"mobile-mcp\": {\n \"command\": \"npx\",\n \"args\": [\"-y\", \"@mobilenext/mobile-mcp@latest\"]\n }\n }\n}\n\n```\n\n[克劳德代码：](https://docs.anthropic.com/en/docs/agents-and-tools/claude-code/overview)\n\n```\nclaude mcp add mobile -- npx -y @mobilenext/mobile-mcp@latest ⁠\n```\n\n[在我们的 wiki 中阅读更多内容](https://github.com/mobile-next/mobile-mcp/wiki)！🚀\n\n### 🛠️ 如何使用📝\n\n将 MCP 服务器添加到您的 IDE/客户端后，您可以指示您的 AI 助手使用可用的工具。例如，在 Cursor 的代理模式下，您可以使用以下提示快速验证、测试和迭代 UI 交互，读取屏幕上的信息，并执行复杂的工作流程。请描述清晰，直截了当。\n\n### ✨ 示例提示\n\n#### 工作流程\n\n您可以在单个提示中指定详细的工作流程，验证业务逻辑，设置自动化。您可以尽情发挥：\n\n**搜索视频、评论、点赞并分享。**\n\n```\nFind the video called \" Beginner Recipe for Tonkotsu Ramen\" by Way of Ramen, click on like video, after liking write a comment \" this was delicious, will make it next Friday\", share the video with the first contact in your whatsapp list. \n```\n\n**下载成功的计步器应用程序，注册，设置锻炼并启动应用程序**\n\n```\nFind and Download a free \"Pomodoro\" app that has more thank 1k stars. \nLaunch the app, register with my email, after registration find how to start a pomodoro timer. \nWhen the pomodoro timer started, go back to the app store and rate the app 5 stars, \nand leave a comment how useful the app is. \n```\n\n**在 Substack 中搜索、阅读、突出显示、评论和保存文章**\n\n```\nOpen Substack website, search for \"Latest trends in AI automation 2025\", open the first article, \nhighlight the section titled \"Emerging AI trends\", and save article to reading list for later review, \ncomment a random paragraph summary.\n```\n\n**预订健身课程，设置计时器**\n\n```\nOpen ClassPass, search for yoga classes tomorrow morning within 2 miles, \nbook the highest-rated class at 7 AM, confirm reservation,\n setup a timer for the booked slot in the phone\n```\n\n**查找本地活动，设置日历活动**\n\n```\nOpen Eventbrite, search for AI startup meetup events happening this weekend in \"Austin, TX\", \nselect the most popular one, register and RSVP yes to the even, setup a calendar event as a reminder.\n```\n\n**查看天气预报并发送 Whatsapp/Telegram/Slack 消息**\n\n```\nOpen Weather app, check tomorrow's weather forecast for \"Berlin\", and send the summary \nvia Whatsapp/Telegram/Slack to contact \"Lauren Trown\", thumbs up their response.\n```\n\n* **在 Zoom 中安排会议并通过电子邮件分享邀请**\n\n```\nOpen Zoom app, schedule a meeting titled \"AI Hackathon\" for tomorrow at 10 AM with a duration of 1 hour,\ncopy the invitation link, and send it via Gmail to contacts \"team@example.com\".\n```\n\n## 先决条件\n\n将 MCP 与您的代理和移动设备连接起来需要：\n\n* [Xcode 命令行工具](https://developer.apple.com/xcode/resources/)\n* [Android 平台工具](https://developer.android.com/tools/releases/platform-tools)\n* [节点.js](https://nodejs.org/en/download/)\n* [MCP](https://modelcontextprotocol.io/introduction)支持基础模型或代理，例如[Claude MCP](https://modelcontextprotocol.io/quickstart/server) 、 [OpenAI Agent SDK](https://openai.github.io/openai-agents-python/mcp/) 、 [Copilot Studio](https://www.microsoft.com/en-us/microsoft-copilot/blog/copilot-studio/introducing-model-context-protocol-mcp-in-copilot-studio-simplified-integration-with-ai-apps-and-agents/)\n\n### 模拟器、仿真器和物理设备\n\n启动后，移动 MCP 可以连接到：\n\n* macOS/Linux 上的 iOS 模拟器\n* Linux/Windows/macOS 上的 Android 模拟器\n* 物理 iOS 或 Android 设备（需要适当的平台工具和驱动程序）\n\n在运行 Mobile Next Mobile MCP 之前，请确保已安装并正确配置了移动平台 SDK（Xcode、Android SDK）。\n\n### 在模拟器/仿真器上以“无头”模式运行\n\n当您的机器上没有连接实体电话时，您可以在后台使用模拟器或模拟器运行 Mobile MCP。\n\n例如，在 Android 上：\n\n1. 启动模拟器（avdmanager/emulator 命令）。\n2. 使用所需标志运行 Mobile MCP\n\n在 iOS 上，您需要 Xcode 并运行模拟器，然后才能将 Mobile MCP 与该模拟器实例一起使用。\n\n* `xcrun simctl list`\n* `xcrun simctl boot \"iPhone 16\"`\n\n# 感谢所有贡献者❤️\n\n### 我们感谢所有帮助改进这个项目的人。","Chinese","zh-CN","githubUser","locale",{"_85":86,"_87":88,"_13":95,"_105":42,"_106":42,"_107":108,"_112":113,"_136":-5,"_16":137,"_138":139,"_140":141,"_33":43,"_166":126,"_167":168,"_172":-5,"_173":174,"_175":-5,"_176":177,"_182":-5,"_148":122,"_183":184,"_188":189,"_127":285,"_286":287},"addedAt","2025-04-05T00:22:53.782782722Z","argumentsJsonSchema",{"_89":90,"_91":92,"_93":94},"properties",{},"required",[],"type","object",[96,97,98,99,100,101,102,103,104],"author:official","category:app-automation","category:agent-orchestration","environment:local","hosting:hybrid","language:typescript","security_grade:a","quality_grade:a","license_grade:a","descriptionMarkdown","descriptionPlainText","githubProject",{"_35":109,"_110":111},"# Mobile Next - MCP server for Mobile Development and Automation | iOS, Android, Simulator, Emulator, and physical devices\n\nThis is a [Model Context Protocol (MCP) server](https://github.com/modelcontextprotocol) that enables scalable mobile automation, development through a platform-agnostic interface, eliminating the need for distinct iOS or Android knowledge. You can run it on emulators, simulators, and physical devices (iOS and Android).\nThis server allows Agents and LLMs to interact with native iOS/Android applications and devices through structured accessibility snapshots or coordinate-based taps based on screenshots.\n\n

\n\n $\"Mobile$ \n \n \n $\"Mobile$ \n \n \n $\"npm\"$ \n \n\n \n \n\n $\"Mobile$ \n \n\n
\n\n

\n\n $\"Slack$ \n\n
\n\nhttps://github.com/user-attachments/assets/c4e89c4f-cc71-4424-8184-bdbc8c638fa1\n\n
\n \n $\"mobile-mcp\"$ \n \n
\n\n### 🚀 Mobile MCP Roadmap: Building the Future of Mobile\n\nJoin us on our journey as we continuously enhance Mobile MCP!\nCheck out our detailed roadmap to see upcoming features, improvements, and milestones. Your feedback is invaluable in shaping the future of mobile automation.\n\n👉 [Explore the Roadmap](https://github.com/orgs/mobile-next/projects/3)\n\n\n### Main use cases\n\nHow we help to scale mobile automation:\n\n- 📲 Native app automation (iOS and Android) for testing or data-entry scenarios.\n- 📝 Scripted flows and form interactions without manually controlling simulators/emulators or physical devices (iPhone, Samsung, Google Pixel etc)\n- 🧭 Automating multi-step user journeys driven by an LLM\n- 👆 General-purpose mobile application interaction for agent-based frameworks\n- 🤖 Enables agent-to-agent communication for mobile automation usecases, data extraction\n\n## Main Features\n\n- 🚀 Fast and lightweight: Uses native accessibility trees for most interactions, or screenshot based coordinates where a11y labels are not available.\n- 🤖 LLM-friendly: No computer vision model required in Accessibility (Snapshot).\n- 🧿 Visual Sense: Evaluates and analyses what’s actually rendered on screen to decide the next action. If accessibility data or view-hierarchy coordinates are unavailable, it falls back to screenshot-based analysis.\n- 📊 Deterministic tool application: Reduces ambiguity found in purely screenshot-based approaches by relying on structured data whenever possible.\n- 📺 Extract structured data: Enables you to extract structred data from anything visible on screen.\n\n## 🏗️ Mobile MCP Architecture\n\n
\n \n $\"mobile-mcp\"$ \n \n
\n\n\n## 📚 Wiki page\n\nMore details in our [wiki page](https://github.com/mobile-next/mobile-mcp/wiki) for setup, configuration and debugging related questions.\n\n\n## Installation and configuration\n\nSetup our MCP with Cline, Cursor, Claude, VS Code, Github Copilot:\n\n```json\n{\n \"mcpServers\": {\n \"mobile-mcp\": {\n \"command\": \"npx\",\n \"args\": [\"-y\", \"@mobilenext/mobile-mcp@latest\"]\n }\n }\n}\n\n```\n[Cline:](https://docs.cline.bot/mcp/configuring-mcp-servers) To setup Cline, just add the json above to your MCP settings file.\n[More in our wiki](https://github.com/mobile-next/mobile-mcp/wiki/Cline)\n\n[Claude Code:](https://docs.anthropic.com/en/docs/agents-and-tools/claude-code/overview)\n\n```\nclaude mcp add mobile -- npx -y @mobilenext/mobile-mcp@latest\n```\n\n[Read more in our wiki](https://github.com/mobile-next/mobile-mcp/wiki)! 🚀\n\n\n### 🛠️ How to Use 📝\n\nAfter adding the MCP server to your IDE/Client, you can instruct your AI assistant to use the available tools.\nFor example, in Cursor's agent mode, you could use the prompts below to quickly validate, test and iterate on UI intereactions, read information from screen, go through complex workflows.\nBe descriptive, straight to the point.\n\n### ✨ Example Prompts\n\n#### Workflows\n\nYou can specifiy detailed workflows in a single prompt, verify business logic, setup automations. You can go crazy:\n\nSearch for a video, comment, like and share it.\n```\nFind the video called \" Beginner Recipe for Tonkotsu Ramen\" by Way of\nRamen, click on like video, after liking write a comment \" this was\ndelicious, will make it next Friday\", share the video with the first\ncontact in your whatsapp list.\n```\n\nDownload a successful step counter app, register, setup workout and 5-star the app\n```\nFind and Download a free \"Pomodoro\" app that has more than 1k stars.\nLaunch the app, register with my email, after registration find how to\nstart a pomodoro timer. When the pomodoro timer started, go back to the\napp store and rate the app 5 stars, and leave a comment how useful the\napp is.\n```\n\nSearch in Substack, read, highlight, comment and save an article\n```\nOpen Substack website, search for \"Latest trends in AI automation 2025\",\nopen the first article, highlight the section titled \"Emerging AI trends\",\nand save article to reading list for later review, comment a random\nparagraph summary.\n```\n\nReserve a workout class, set timer\n```\nOpen ClassPass, search for yoga classes tomorrow morning within 2 miles,\nbook the highest-rated class at 7 AM, confirm reservation,\nsetup a timer for the booked slot in the phone\n```\n\nFind a local event, setup calendar event\n```\nOpen Eventbrite, search for AI startup meetup events happening this\nweekend in \"Austin, TX\", select the most popular one, register and RSVP\nyes to the event, setup a calendar event as a reminder.\n```\n\nCheck weather forecast and send a Whatsapp/Telegram/Slack message\n```\nOpen Weather app, check tomorrow's weather forecast for \"Berlin\", and\nsend the summary via Whatsapp/Telegram/Slack to contact \"Lauren Trown\",\nthumbs up their response.\n```\n\n- Schedule a meeting in Zoom and share invite via email\n```\nOpen Zoom app, schedule a meeting titled \"AI Hackathon\" for tomorrow at\n10AM with a duration of 1 hour, copy the invitation link, and send it via\nGmail to contacts \"team@example.com\".\n```\n[More prompt examples can be found here.](https://github.com/mobile-next/mobile-mcp/wiki/Prompt-Example-repo-list)\n\n## Prerequisites\n\nWhat you will need to connect MCP with your agent and mobile devices:\n\n- [Xcode command line tools](https://developer.apple.com/xcode/resources/)\n- [Android Platform Tools](https://developer.android.com/tools/releases/platform-tools)\n- [node.js](https://nodejs.org/en/download/) v22+\n- [MCP](https://modelcontextprotocol.io/introduction) supported foundational models or agents, like [Claude MCP](https://modelcontextprotocol.io/quickstart/server), [OpenAI Agent SDK](https://openai.github.io/openai-agents-python/mcp/), [Copilot Studio](https://www.microsoft.com/en-us/microsoft-copilot/blog/copilot-studio/introducing-model-context-protocol-mcp-in-copilot-studio-simplified-integration-with-ai-apps-and-agents/)\n\n### Simulators, Emulators, and Physical Devices\n\nWhen launched, Mobile MCP can connect to:\n- iOS Simulators on macOS/Linux\n- Android Emulators on Linux/Windows/macOS\n- Physical iOS or Android devices (requires proper platform tools and drivers)\n\nMake sure you have your mobile platform SDKs (Xcode, Android SDK) installed and configured properly before running Mobile Next Mobile MCP.\n\n### Running in \"headless\" mode on Simulators/Emulators\n\nWhen you do not have a physical phone connected to your machine, you can run Mobile MCP with an emulator or simulator in the background.\n\nFor example, on Android:\n1. Start an emulator (avdmanager / emulator command).\n2. Run Mobile MCP with the desired flags\n\nOn iOS, you'll need Xcode and to run the Simulator before using Mobile MCP with that simulator instance.\n- `xcrun simctl list`\n- `xcrun simctl boot \"iPhone 16\"`\n\n# Thanks to all contributors ❤️\n\n### We appreciate everyone who has helped improve this project.\n\n \n \n \n\n","url","https://github.com/mobile-next/mobile-mcp","githubRepository",{"_114":115,"_116":117,"_118":119,"_120":121,"_33":122,"_123":124,"_129":130,"_131":132,"_134":135},"defaultBranch","main","fullName","mobile-next/mobile-mcp","githubTreeId",133098,"language","TypeScript","mobile-mcp","owner",{"_125":126,"_127":128},"login","mobile-next","uid","Fr6j6bH5Zg","recentStargazers",112,"spdxLicense",{"_33":133},"Apache 2.0","stargazers",1089,"glamaJson",4994,"inspectable",true,"integrations",[142,152,159],{"_143":144,"_31":150,"_127":151},"brand",{"_145":146,"_33":147,"_148":149},"logoSvgPath","M18.4395 5.5586c-.675 1.1664-1.352 2.3318-2.0274 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\n\n \n \n \n \n \n \n \n \n\n \n \n\n \n \n\n\n\n

\n\n $\"Mobile$ \n \n \n $\"Mobile$ \n \n \n $\"npm\"$ \n \n\n \n \n\n $\"Mobile$ \n \n\n
\n\n

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