Mobile Mcp
Model Context Protocol Server for Mobile Automation and Scraping (iOS, Android, Emulators, Simulator
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About
Mobile Next - MCP server for Mobile Development and Automation | iOS, Android, Simulator, Emulator, and Real 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 real 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.
https://github.com/user-attachments/assets/bb084777-beb3-4930-ae6f-8d3fe694ddde
🚀 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.
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 real 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.
🎯 Platform Support
| Platform | Supported |
|---|---|
| iOS Real Device | ✅ |
| iOS Simulator | ✅ |
| Android Real Device | ✅ |
| Android Emulator | ✅ |
🔧 Available MCP Tools
📱 Click to expand tool list - List of Mobile MCP tools for automation and development
For detailed implementation and parameter specifications, see `src/server.ts`
Don't lose this
Three weeks from now, you'll want Mobile Mcp again. Will you remember where to find it?
Save it to your library and the next time you need Mobile Mcp, it’s one tap away — from any AI app you use. Group it into a bench with the rest of the team for that kind of task and you can pull the whole stack at once.
⚡ Pro tip for geeks: add a-gnt 🤵🏻♂️ as a custom connector in Claude or a custom GPT in ChatGPT — one click and your library is right there in the chat. Or, if you’re in an editor, install the a-gnt MCP server and say “use my [bench name]” in Claude Code, Cursor, VS Code, or Windsurf.
a-gnt's Take
Our honest review
This plugs directly into your AI and gives it new abilities it didn't have before. Model Context Protocol Server for Mobile Automation and Scraping (iOS, Android, Emulators, Simulator. Once connected, just ask your AI to use it. It's completely free and works across most major AI apps. This one just landed in the catalog — worth trying while it's fresh.
Tips for getting started
Tap "Get" above, pick your AI app, and follow the steps. Most installs take under 30 seconds.
What's New
Imported from GitHub
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