mobile-mcp

MCP.Pizza Chef: mobile-next

Mobile-MCP is a Model Context Protocol server designed for scalable mobile automation and development. It provides a platform-agnostic interface to interact with native iOS and Android applications on emulators, simulators, and physical devices. By exposing structured accessibility snapshots and enabling coordinate-based interactions, it allows LLMs and agents to automate and control mobile environments without requiring platform-specific expertise.

Use This MCP server To

Automate UI testing on iOS and Android devices Control mobile apps via LLM-driven accessibility snapshots Run mobile automation on emulators and physical devices Scrape data from native mobile applications Simulate user interactions with coordinate-based taps Integrate mobile device control into AI workflows Enable cross-platform mobile app automation without platform knowledge Capture structured mobile UI context for real-time model reasoning

README

Mobile Next - MCP server for Mobile Development and Automation | iOS, Android, Simulator, Emulator, and physical devices

This is a Model Context Protocol (MCP) server 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). This 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.

Mobile-MCP-Demo-from-Mobile-Next.mp4

npm GitHub repo

mobile-mcp

🚀 Mobile MCP Roadmap: Building the Future of Mobile

Join us on our journey as we continuously enhance Mobile MCP! Check out our detailed roadmap to see upcoming features, improvements, and milestones. Your feedback is invaluable in shaping the future of mobile automation.

👉 Explore the Roadmap

Main use cases

How we help to scale mobile automation:

  • 📲 Native app automation (iOS and Android) for testing or data-entry scenarios.
  • 📝 Scripted flows and form interactions without manually controlling simulators/emulators or physical devices (iPhone, Samsung, Google Pixel etc)
  • 🧭 Automating multi-step user journeys driven by an LLM
  • 👆 General-purpose mobile application interaction for agent-based frameworks
  • 🤖 Enables agent-to-agent communication for mobile automation usecases, data extraction

Main Features

  • 🚀 Fast and lightweight: Uses native accessibility trees for most interactions, or screenshot based coordinates where a11y labels are not available.
  • 🤖 LLM-friendly: No computer vision model required in Accessibility (Snapshot).
  • 🧿 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.
  • 📊 Deterministic tool application: Reduces ambiguity found in purely screenshot-based approaches by relying on structured data whenever possible.
  • 📺 Extract structured data: Enables you to extract structred data from anything visible on screen.

🏗️ Mobile MCP Architecture

mobile-mcp

📚 Wiki page

More details in our wiki page for setup, configuration and debugging related questions.

Installation and configuration

Setup our MCP with Cursor, Claude, VS Code, Github Copilot:

{
  "mcpServers": {
    "mobile-mcp": {
      "command": "npx",
      "args": ["-y", "@mobilenext/mobile-mcp@latest"]
    }
  }
}

Claude Code:

claude mcp add mobile -- npx -y @mobilenext/mobile-mcp@latest ⁠

Read more in our wiki! 🚀

🛠️ How to Use 📝

After adding the MCP server to your IDE/Client, you can instruct your AI assistant to use the available tools. For 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. Be descriptive, straight to the point.

✨ Example Prompts

Workflows

You can specifiy detailed workflows in a single prompt, verify business logic, setup automations. You can go crazy:

Search for a video, comment, like and share it.

Find 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. 

Download a successful step counter app, register, setup workout and 5 start the app

Find and Download a free "Pomodoro" app that has more thank 1k stars. 
Launch the app, register with my email, after registration find how to start a pomodoro timer. 
When the pomodoro timer started, go back to the app store and rate the app 5 stars, 
and leave a comment how useful the app is. 

Search in Substack, read, highlight, comment and save an article

Open Substack website, search for "Latest trends in AI automation 2025", open the first article, 
highlight the section titled "Emerging AI trends", and save article to reading list for later review, 
comment a random paragraph summary.

Reserve a workout class, set timer

Open ClassPass, search for yoga classes tomorrow morning within 2 miles, 
book the highest-rated class at 7 AM, confirm reservation,
 setup a timer for the booked slot in the phone

Find a local event, setup calendar event

Open Eventbrite, search for AI startup meetup events happening this weekend in "Austin, TX", 
select the most popular one, register and RSVP yes to the even, setup a calendar event as a reminder.

Check weather forecast and send a Whatsapp/Telegram/Slack message

Open Weather app, check tomorrow's weather forecast for "Berlin", and send the summary 
via Whatsapp/Telegram/Slack to contact "Lauren Trown", thumbs up their response.
  • Schedule a meeting in Zoom and share invite via email
Open Zoom app, schedule a meeting titled "AI Hackathon" for tomorrow at 10 AM with a duration of 1 hour,
copy the invitation link, and send it via Gmail to contacts "team@example.com".

Prerequisites

What you will need to connect MCP with your agent and mobile devices:

Simulators, Emulators, and Physical Devices

When launched, Mobile MCP can connect to:

  • iOS Simulators on macOS/Linux
  • Android Emulators on Linux/Windows/macOS
  • Physical iOS or Android devices (requires proper platform tools and drivers)

Make sure you have your mobile platform SDKs (Xcode, Android SDK) installed and configured properly before running Mobile Next Mobile MCP.

Running in "headless" mode on Simulators/Emulators

When you do not have a physical phone connected to your machine, you can run Mobile MCP with an emulator or simulator in the background.

For example, on Android:

  1. Start an emulator (avdmanager / emulator command).
  2. Run Mobile MCP with the desired flags

On iOS, you'll need Xcode and to run the Simulator before using Mobile MCP with that simulator instance.

  • xcrun simctl list
  • xcrun simctl boot "iPhone 16"

Thanks to all contributors ❤️

We appreciate everyone who has helped improve this project.

mobile-mcp FAQ

How does mobile-mcp interact with mobile devices?
It uses structured accessibility snapshots and coordinate-based taps to control iOS and Android devices, emulators, and simulators.
Can mobile-mcp automate both emulators and physical devices?
Yes, it supports automation on iOS and Android emulators, simulators, and physical devices.
Does mobile-mcp require platform-specific knowledge to use?
No, it provides a platform-agnostic interface, eliminating the need for distinct iOS or Android expertise.
What types of mobile applications can mobile-mcp automate?
It can automate native iOS and Android applications accessible via accessibility APIs or screen coordinates.
How does mobile-mcp integrate with LLMs?
It exposes mobile UI context and interaction capabilities to LLMs via the MCP protocol for real-time automation and reasoning.
Is mobile-mcp suitable for scraping data from mobile apps?
Yes, it can extract structured data from mobile app interfaces using accessibility snapshots.
What platforms does mobile-mcp support?
It supports iOS and Android platforms, including simulators, emulators, and physical devices.
How can I install mobile-mcp?
You can install it via npm from the @mobilenext/mobile-mcp package or clone it from its GitHub repository.