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multi_uiautomator2

by Starlordzz
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    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    A3.5/5.0

    Scored across 24 tools

    Disambiguation4/5

    Tools are largely distinct, but there is some overlap between screenshot/get_screen_elements (both observe the screen) and among the AI-powered tools (ai_debug_screen vs ai_understand_screen vs ai_execute_goal). Descriptions clarify differences, but an agent might occasionally misselect between observation and AI analysis tools.

    Naming Consistency4/5

    Most tool names follow a verb_noun pattern (e.g., list_devices, start_app, input_text). The main deviation is 'screenshot', which is a noun without an explicit verb, and 'press_key' could be seen as slightly inconsistent but still clear. Overall, the naming is predictable and readable.

    Tool Count3/5

    With 24 tools, the server is on the heavier side (16-25 is considered heavy). However, the count is justified by the breadth of features: device management, app lifecycle, UI interactions, observation, and AI delegation. Still, some tools (like the three AI ones) might be consolidated, making the set feel slightly bloated.

    Completeness4/5

    The toolset covers the core lifecycle: device connection, app control, UI interaction (tap, swipe, scroll, input), observation (screenshot, get_screen_elements), and waiting/finding elements. It lacks explicit handling of system dialogs or advanced gestures, but the AI tools can cover some gaps. Overall, no critical dead ends for typical automation workflows.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues

    Resources