MCP Appium
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AlicenseAqualityBmaintenanceEnables AI assistants to automate mobile app testing and development for iOS and Android through natural language interactions. Supports intelligent element identification, session management, automated test generation, and comprehensive device interactions including clicks, swipes, screenshots, and app management.3216,435 npm518Apache 2.0- AlicenseBqualityBmaintenanceEnables AI assistants to write and run mobile UI tests on Android and iOS simulators via natural language, supporting native and WebView apps without Appium.3830 npmMIT
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TDQS
Scored across 40 tools
Many tools have distinct purposes, but there are notable overlapping clusters: screen inspection (appium_observe, appium_screen_intel, appium_get_page_source, generate_locators), element finding (appium_find_element, appium_find_elements, appium_wait_for, appium_verify_locator), and diagnostics/recovery (appium_diagnose, appium_session_health, appium_session_management). Descriptions often clarify intended use, but the volume and overlap still create meaningful misselection risk.
Most names are snake_case and readable, but the appium_ prefix is inconsistent: select_device, prepare_ios_simulator, and generate_locators lack it while most others include it. Verb style also varies between action-oriented names and noun-like names such as appium_screen_intel, appium_alert, and appium_context.
With 40 tools, the surface is well beyond a typical focused tool set for mobile automation and includes several overlapping inspection, locator, and diagnostic tools. While the domain is broad, many tools could be consolidated, making the count excessive for practical selection.
The set covers a wide Appium lifecycle: device selection/preparation, session management, gestures, element interaction, app lifecycle, files, permissions, geolocation, diagnostics, and test generation. Minor gaps remain around explicit log/network/performance retrieval, but the core mobile automation surface is largely complete.