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Alternatives to Android-MCP

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    • A
      license
      A
      quality
      D
      maintenance
      Enables AI agents to fully control Android devices through over 30 tools for app management, UI automation, and vision-based analysis via ADB. It supports multi-device management, action recording, and smart execution strategies ranging from UI hierarchy parsing to coordinate-based interaction.
      37
      123 npm
      1
      MIT
    • A
      license
      C
      quality
      B
      maintenance
      A lightweight bridge enabling AI agents to perform real-world tasks on Android devices such as app navigation, UI interaction, and automated QA testing without requiring computer-vision pipelines or preprogrammed scripts.
      14
      2,069 PyPI
      848
      MIT
    • A
      license
      B
      quality
      B
      maintenance
      Enables AI assistants to interact with Android devices and emulators via ADB, providing tools for screenshots, UI inspection, touch and text input, app management, and device control.
      42
      60 npm
      18
      MIT
    • F
      license
      A
      quality
      D
      maintenance
      Enables AI agents to interact with Android devices through UI manipulation, screen capture, touch gestures, text input, and app management via ADB. Provides comprehensive mobile automation capabilities including element detection, navigation, and application control for Android device testing and interaction.
      9
      4
      -
    • A
      license
      A
      quality
      C
      maintenance
      Enables AI agents to control, inspect, and automate Android devices, Waydroid containers, and AVD emulators over ADB. Provides tools for screenshots, UI-hierarchy text-based tapping, gestures, key presses, text input, app management, and raw shell commands.
      12
      MIT

    TDQS

    B3.4/5.0

    Scored across 18 tools

    Disambiguation4/5

    Most tools target clearly distinct actions: tapping, swiping, typing, dragging, pressing buttons, notifications, waiting, and recording. The main ambiguity is between Click-Tool and Click-By-Label, which both perform taps, and Report-Bug-To-Azure vs Report-Bug-To-Azure-Direct, which are near-duplicates.

    Naming Consistency3/5

    There is a recognizable pattern of verb-noun with a -Tool suffix for many tools, but notable exceptions like Setup-Device, Export-Test-Script, Report-Bug-To-Azure, and Click-By-Label break the pattern. Notification-Tool is noun-first rather than verb-first, making the convention mixed but still generally readable.

    Tool Count4/5

    18 tools is slightly above the ideal 3-15 range, but the count is justified by the combination of core UI automation actions, device state access, and a test recording pipeline. The two bug-report tools are somewhat redundant and could be consolidated, but overall the scope is reasonable.

    Completeness4/5

    The toolset covers the core Android automation lifecycle well: screen state discovery, coordinate-based and label-based interaction, gestures, device buttons, notifications, waiting, and recording/exporting tests. Minor gaps exist, such as no explicit wait-for-element or direct assertion tool, but agents can work around these using the state and export features.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues