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    Enables AI agents to control Android devices and emulators through direct UI interaction, allowing app navigation, automated testing, and real-world task execution via ADB without computer vision or scripts.
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    2
    MIT
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    A local MCP server that controls Android devices via ADB, enabling AI agents and users to manage devices, execute UI automation, and perform testing through 27 MCP tools and an optional web console.
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    MIT
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    A lightweight bridge enabling AI agents to perform real-world tasks on Android devices such as app navigation, UI interaction, and automated QA testing without requiring computer-vision pipelines or preprogrammed scripts.
    14
    2,158 PyPI
    880
    MIT
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    Enables an agent to drive an Android phone attached via USB by reading the screen, deciding next steps, executing actions, and verifying results, all through adb.
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    MIT
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    Enables Claude to operate Android Studio and the entire Android toolchain: build, test, lint, run on devices/emulators, analyze APKs, scaffold projects, inspect code, and drive the live IDE via 73 tools.
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    MIT
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    Provides comprehensive Android device management capabilities through ADB, including device management, app management, file operations, and system monitoring.
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    Enables Android device control via ADB and scrcpy, including device management, app management, file operations, shell commands, input simulation, screen mirroring, and UI element inspection.
    25
    Apache 2.0
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    Enables comprehensive Android device control over ADB, including UI automation, screen capture/recording, app management, file operations, and log/notification access, with a built-in permission system.
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    MCP server for controlling Android devices via semantic actions with verification, enabling any MCP client to interact with phones through natural language and structured tools.
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    MIT
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    Enables AI agents to measure the real geometry of a live Android UI over adb and uiautomator, reporting overlapping views, clipping, touch targets under 48dp, occluded or unlabeled controls, and portrait/landscape diffs. Analysis also runs against saved uiautomator dumps, so layouts can be checked in CI without a device attached.
    6
    MIT
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    Enables forensic investigators to acquire data from Android devices via ADB, including device backup, artifact collection, and secure command execution.
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    Provides on-demand access to AOSP and Jetpack source code to help AI understand Android framework internals. It features a hybrid architecture using Tree-sitter and LSP for precise code extraction, cross-file navigation, and local source indexing.
    11
    101
    Apache 2.0
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    Give any LLM agent a real Android or iPhone. 62 MCP tools: tap, swipe, type, screenshot, screen-tree reading, app launch, camera, TTS, crash reports, batched execution. Android via ADB, iPhone via WebDriverAgent, on-device inference, Docker+KVM emulators. Works with Claude Code, Cursor, LangChain, LlamaIndex, and any MCP client. MIT.
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    377
    MIT
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    Enables MCP clients to inspect Google Play releases, reviews, Android vitals, and scoped bulk reports, and to prepare explicitly authorized changes using locally supplied service-account credentials. Reads are default, while optional writes and sensitive reads require explicit configuration and single-use execution.
    2
    13
    AGPL 3.0
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    AI localization from your editor — translate an app's string files into 46 languages with placeholder-safe, reproducible output. Eleven formats (JSON, .arb, .po, .strings, Android XML and more), and every translation is read back and checked before it lands.
    7
    MIT