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    Enables interaction with Gradle projects through the Gradle Wrapper, allowing users to list projects and tasks, execute builds, run tests, and clean artifacts with real-time progress reporting and comprehensive error details.
    7
    1
    MIT
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    Analyzes Gradle dependencies in Android projects, supporting Version Catalog, duplicate detection, module comparison, and dependency tree generation.
    MIT
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    Enables AI assistants to build, drive, and observe Android/KMM apps end-to-end through ADB and Gradle, with tools for UI automation, error capture, and testing.
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    MIT
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    MCP server for Android dev workflows that exposes Gradle, Manifest, and ProGuard context to Claude, with a library of skills for tasks like AGP upgrade and R8 audit.
    3
    MIT
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    A growing collection of MCP tools for Android Development. Currently features a deterministic Figma-SVG-to-Android-XML converter, with plans for Gradle analysis, Resource management, and ADB integration tools.
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    MIT
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    Kotlin MCP Server for Android app development using OpenAI, Gemini, or OpenRouter. Enables AI-assisted coding via Aider, Gradle build/test integration, Kotlin LSP, and Docker-based portability.
    31
    AGPL 3.0
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    Claude MCP server that enables secure access to browse and read Android project files, validating authentic projects by checking for gradle configuration files.
    4
    MIT
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    Indexes local Maven and Gradle caches to enable AI agents to search for Java classes, method signatures, and source code, including from internal or obscure libraries.
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    ISC
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    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.
    2
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    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.
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    MIT
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    Dev intelligence layer that builds a knowledge graph from any codebase and exposes 7 MCP tools for graph-powered reasoning, impact analysis, and preflight safety and governance checks.
    32
    Apache 2.0