Android Debug Bridge MCP
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- AlicenseNot gradedqualityDmaintenanceEnables interaction with Android devices and emulators through ADB, allowing control actions like tapping, text input, screenshots, UI inspection, and app launching through natural language.8 npm8ISC
- AlicenseBqualityDmaintenanceEnables control of Android devices via ADB, allowing screenshot capture, touch simulation, and swipe gestures through natural language commands.22120 npm6MIT
- FlicenseAqualityDmaintenanceEnables AI agents to interact with Android devices through UI manipulation, screen capture, touch gestures, text input, and app management via ADB. Provides comprehensive mobile automation capabilities including element detection, navigation, and application control for Android device testing and interaction.94-
- FlicenseNot gradedqualityDmaintenanceEnables control of Android devices through ADB using natural language commands. Supports browser automation, SMS sending, device information retrieval, settings control, and common device actions like screenshots and button presses.3-
- AlicenseBqualityBmaintenanceEnables AI assistants to interact with Android devices and emulators via ADB, providing tools for screenshots, UI inspection, touch and text input, app management, and device control.4282 npm19MIT
- AlicenseAqualityDmaintenanceEnables AI models to control Android devices via ADB through natural language commands, supporting screen analysis and automated actions.318 npmMIT
TDQS
Scored across 9 tools
Each tool has a clearly distinct purpose with no overlap: screenshot capture, UI dump, folder creation, key events, scrolling, tapping, text input, app listing, and app opening. The descriptions reinforce these distinctions, making it easy for an agent to select the right tool for each specific action.
All tools follow a consistent verb_noun pattern using snake_case, such as capture_screenshot, input_tap, and list_apps. This uniformity makes the toolset predictable and easy to navigate, with no deviations in naming conventions.
With 9 tools, the count is well-scoped for Android debugging tasks, covering essential operations like input simulation, app management, and data capture. Each tool serves a clear purpose without redundancy, fitting the domain appropriately.
The toolset provides strong coverage for core Android debugging workflows, including input actions, app interaction, and data capture. A minor gap exists in lifecycle management tools, such as stopping apps or clearing data, but agents can work around this with the available tools.