Summary
This lets Claude control Android and iOS devices through natural language by wrapping adb, simctl, and native accessibility services in Kotlin and Swift. You get tap, swipe, pinch, and drag operations plus fast UI inspection that's apparently 10x quicker than alternatives. The practical use cases are UX exploration, bug reproduction from reports, and generating executable UI tests from plain English descriptions. It also includes performance profiling for app startup and scroll jank, plus accessibility audits for contrast and tap target sizing. The project ships with JUnit and XCTest runners that handle device pooling and timing optimization. Includes an interactive installer that checks dependencies and configures everything, though you'll need Android or iOS dev tools on your machine.
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one prompt install →AutoMobile
AutoMobile lets AI agents control your mobile devices using natural language. Tell an AI what you want to do, and it interacts with your Android or iOS app.
It can do all this by being an MCP server that uses standard platform tools like adb & simctl paired with additional Kotlin & Swift libraries and apps. All components are open source. The point is to provide mobile engineers with AI workflow tools to perform UX deep dives, reproduce bugs, and run automated tests.
An AI agent navigating to the Clock app, creating a new alarm
An AI agent searching YouTube and browsing results
Explore and Test
| Task | What it does |
|---|---|
| Explore app UX | Navigate your app, discover screens, map user flows, identify confusing interactions |
| Reproduce bugs | Paste a bug report and get exact reproduction steps with screenshots |
| Create UI tests | Describe test scenarios in plain English, get executable test plans |
| Measure startup time | Profile cold and warm launch performance |
| Check scroll performance | Detect jank and dropped frames |
How it works
- 🤖 Fast UX Inspection Kotlin Accessibility Service and Swift XCTestService to enable fast, accurate observations. 10x faster than the next fastest observation toolkit.
- 🦾 Full Touch Injection Tap, Swipe, Pinch, Drag & Drop, Shake with automatic element targeting.
- ♻️ Tool Feedback Observations drive the interaction loop for all tool calls.
- 🧪 Test Execution Kotlin JUnitRunner & Swift XCTestRunner execute tests natively handling device pooling, multi-device tests, and automatically optimizing test timing.
Get Started
You can use our interactive installer to step through all host platform requirements and configuration options. It checks host dependencies, optionally downloads Android or iOS developer tools, and configured the MCP daemon.
curl -fsSL https://raw.githubusercontent.com/kaeawc/auto-mobile/refs/heads/main/scripts/install.sh | bash
or follow the installation guide.
Documentation
- Full Documentation - Complete guide with examples
- FAQ - Common questions answered
- Design Docs - Architecture and implementation details
Contributing
- Code of Conduct
- Please report security vulnerabilities via GitHub
- Contributing
Featured
Plug Mailtrap into your AI workflow and let it handle the email.
Connect Mailtrap MCP →Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →Make coding agent sessions - Searchable, Shareable, Vendor-neutral & Scored.
Try For Free →Your agent targets a perfect 10 Code Health score. Deterministic. Every commit.
Try For Free →Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →belt cli automatically finds the best tools and skills for your agent. image, video, music, tts...
one prompt install →Categories
Registryactive
Package@kaeawc/auto-mobile
TransportSTDIO
UpdatedFeb 13, 2026
