@kaeawc/auto-mobile
Advanced tools
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
| 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 |
| Audit contrast | Find accessibility issues with color contrast |
| Check tap targets | Ensure touch targets meet size guidelines |
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 you can read and follow the step-by-step manual guide.
FAQs
Mobile device interaction automation via MCP
We found that @kaeawc/auto-mobile demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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