MobAI icon
MobAI icon

MobAI

Connect AI coding agents to real iOS and Android devices for mobile app automation, testing, and development.

MobAI screenshot 1

Cost / License

  • Freemium (Subscription)
  • Proprietary

Platforms

  • Windows
  • Mac
  • Linux
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Features

Properties

  1.  Privacy focused

Features

  1.  No Coding Required
  2.  No Tracking
  3.  Ad-free
  4.  No registration required
  5.  Workflow Automation
  6. Android icon  Android Development
  7.  Native Mobile Testing

MobAI News & Activities

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MobAI information

  • Developed by

    Mobai
  • Licensing

    Proprietary and Freemium product.
  • Pricing

    Subscription ranging between $5 and $10 per month + free version with limited functionality.
  • Alternatives

    1 alternatives listed
  • Supported Languages

    • English

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What is MobAI?

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Short description (one-liner)

Connect AI coding agents to real iOS and Android devices for mobile app automation, testing, and development.

Full description

MobAI is a cross-platform desktop app that bridges AI coding agents with real mobile devices. It lets tools like Claude Code, Cursor, Windsurf, and Codex see, tap, type, and swipe on iOS and Android phones — turning natural language into device actions.

How it works: MobAI runs on your desktop and exposes connected devices through an MCP server, HTTP API, and Claude Code plugin. AI agents get access to screenshots, UI element trees, tap/swipe/type actions, app launching, and web automation — everything needed to build, test, and automate mobile apps hands-free.

Key features:

  • Control real Android and iOS devices (plus emulators/simulators)
  • MCP server for Claude Code, Cursor, Windsurf, and other AI IDEs
  • HTTP API and DSL batch execution for programmatic automation
  • Native UI automation via accessibility tree
  • Web automation (DOM inspection, CSS selectors, JS execution)
  • Built-in AI agent that runs tasks from natural language
  • Cross-platform: macOS, Windows, Linux

Who it's for: Mobile developers, QA engineers, and AI enthusiasts who want to use LLM-powered agents to interact with real devices — whether for testing, prototyping, or automating repetitive mobile workflows.