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    • F
      license
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      quality
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      maintenance
      MCP server that provides AI coding agents real Android development tools—Gradle, adb, logcat, lint, crash triage—through a local, permissioned interface. Enables agents to inspect projects, run safe Gradle tasks, capture logs/screenshots, and triage crashes.
      1
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    • A
      license
      Not graded
      quality
      A
      maintenance
      Local-first MCP server that enables AI agents to safely control and observe Android mobile devices, supporting device diagnostics, app lifecycle management, async task execution, and performance monitoring through a policy-constrained interface with explicit confirmations.
      Apache 2.0
    • A
      license
      B
      quality
      C
      maintenance
      A comprehensive MCP server for Android Debug Bridge, enabling AI agents to control Android devices through structured tools like launching apps, UI automation, file operations, and log capture.
      90
      5
      MIT
    • A
      license
      B
      quality
      B
      maintenance
      Lets AI coding agents build, test, and lint Android projects with Gradle, control devices and emulators via adb, automate UI through screenshots and input injection, and use a live IDE bridge for refactoring, code inspection, and run configurations. Works with any MCP client over stdio or authenticated HTTP.
      46
      MIT
    • A
      license
      B
      quality
      C
      maintenance
      An MCP server that enables AI assistants to build, test, and debug Android applications by interacting directly with the Android development environment. It provides tools for managing emulators, executing Gradle tasks, running ADB commands, and performing UI automation via accessibility trees.
      4
      14
      66 npm
      18
      MIT
    • A
      license
      A
      quality
      D
      maintenance
      An MCP server that gives coding agents hands and eyes on an Android device, providing 19 tools for building, testing, installing, UI inspection, input, logs, and toolchain diagnosis. It returns concise, structured results to make the build-debug loop efficient.
      19
      1
      MIT