ios-mcp
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Argentofficial
AlicenseAqualityAmaintenanceEnables AI assistants to interact with iOS Simulators and Android Emulators, allowing autonomous app development, UI interaction, profiling, and debugging through natural language.762,880Apache 2.0- AlicenseAqualityAmaintenanceEnables AI coding agents to review Swift code, scaffold new iOS apps, and build, test, and preview them in the Xcode Simulator using local Apple guides and source references.3634MIT
TDQS
Scored across 31 tools
Each tool has a clearly distinct purpose. Screen-reading tools are differentiated by whether you need refs (observe), hidden elements (find), pixel layout (screenshot), or raw text (read_text). Interaction tools are gesture-specific with no meaningful overlap.
The ios_ prefix is consistent, but the action part varies: most are verb_noun (tap, scroll, launch_app), but there are verb phrases (wait_for, set_device_state), bare verbs (halt, resume), and a noun (doctor). This is mostly predictable but not uniform.
31 tools is heavy, but the domain of iOS automation is broad, requiring separate tools for device management, session control, UI observation, gestures, and app operations. Still, the count is above the typical well-scoped range, making it borderline.
The surface covers the main automation lifecycle: session, devices, apps, UI inspection, interaction, alerts, permissions, and diagnostics. Minor gaps like app uninstall or springboard manipulation are absent, but agents can work around them.