A
licenseNot graded
qualityF
maintenanceEnables AI agents to control real iPhones and simulators on macOS, allowing for UI interaction, testing, and automation.
63 npm
88
MIT
Mobile Pilot MCP
by bidouilles
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TDQS
B3.1/5.0
Scored across 36 tools
Disambiguation4/5
Most tools target distinct actions or resources, such as alerts, gestures, app control, and device settings. A few pairs could cause mild hesitation, like go_home vs press_button(home), or start_bridge vs reset_session, but descriptions generally clarify the boundaries.
Naming Consistency4/5
The toolset is consistently snake_case and mostly follows a verb_noun or verb_object pattern. Minor deviations appear in gesture-only names like tap, swipe, pinch, and long_press, but the convention remains readable and predictable.
Tool Count2/5
With 36 tools, the server is well above the 25-tool threshold for a heavy set. While the mobile automation domain is broad, many operations could be grouped or exposed more narrowly, making the surface feel over-scoped.
Completeness4/5
The surface covers a wide iOS simulator lifecycle: device management, gestures, app control, alerts, settings, clipboard, recording, and Flutter debugging. Some notable gaps remain, such as install/uninstall app operations and orientation controls, but core workflows are well supported.
Maintenance
ActivityInactive
ResponsivenessNo issues