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    Related Servers

    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables AI agents to operate a real iPhone from a Mac by reading the screen over USB and sending taps, swipes, typing, and app launches over Bluetooth, with every action returning a fresh screenshot so the agent can verify its work. Runs as a local MCP server, so agents can test iOS apps on physical devices and automate everyday phone tasks.
      28 npm
      10
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      An MCP server that lets AI agents control iOS and Android devices (tap, scroll, type, take screenshots, read UI trees, and run code). Works with multiple devices at the same time.
      113 npm
      53
      MIT
    • A
      license
      Not graded
      quality
      D
      maintenance
      Comprehensive MCP server for iOS Simulator automation, enabling AI agents to control simulators via tap, swipe, type, accessibility inspection, app debugging, and device management.
      35 npm
      2
      MIT

    TDQS

    B3.4/5.0

    Scored across 14 tools

    Disambiguation4/5

    Each tool maps to a distinct action in the observation→interaction loop (observe, tap, swipe, type, press), and the agent-mode tools (ios_run_task / ios_task_status / ios_task_cancel) are clearly separated from manual driving. The only soft overlaps are ios_launch vs ios_open_url (an app scheme URL could effectively launch an app) and ios_press vs dedicated navigation, which an agent could occasionally misselect.

    Naming Consistency4/5

    All 14 tools use a uniform ios_ prefix with snake_case, giving a highly predictable namespace. Most are verb or verb_noun (ios_boot, ios_tap, ios_open_url, ios_run_task), with a few noun-only list/query names (ios_devices, ios_apps, ios_task_status) that follow a conventional read-only pattern but are a minor deviation.

    Tool Count5/5

    14 tools sits squarely in the well-scoped range and every tool maps to a needed primitive: discovery, boot, observation, four input gestures, app lifecycle, URL handling, plus an optional agent layer with status/cancel. Nothing looks redundant or padded for the scope of iOS device automation.

    Completeness4/5

    The core loop is fully covered end-to-end: list devices, boot, observe screen (elements + screenshot), interact (tap/swipe/type/press), and app lifecycle (apps, launch, terminate, open_url), plus an agent mode with status and cancellation. Minor gaps remain—no install/uninstall of apps, no orientation/rotation, no explicit wait/sleep or clipboard/keyboard-dismiss primitive—but agents can work around these with existing gestures.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues