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"Tools for embedding React and React Native in Android native applications" matching MCP servers:

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    A Django-native MCP application and tool registration framework inspired by Celery, providing async tool definitions, autodiscovery, and stdio/Streamable HTTP serving built on the official MCP Python SDK.
    MIT
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    Enables full-stack compiler development across the hw-native-sys workspace by combining repository operations (git health, code search, task running) with a knowledge layer for architecture docs, task routing, and abstraction/pass pipeline information.
    29
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    A minimal MCP server that enables searching through pre-scraped React documentation using a hybrid approach combining DuckDB full-text search and transformer-based reranking.
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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.
    66
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    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.
    27
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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
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    MIT
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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.
    1
    MIT
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    Enables natural language control of HFSS (v2019-2025) for antenna modeling, simulation, and result extraction via win32com without PyAEDT.
    1
    MIT
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    Enables full Android control from any AI agent via 7 MCP tools, including screen capture, touch interaction, app management, and system control.
    MIT
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    Enables AI clients to directly launch, control, and analyze AMD/Xilinx Vivado on Windows and Linux, supporting project management, synthesis, implementation, bitstream generation, timing/resource analysis, and simulation through a persistent Tcl session.
    MIT
  • F
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    Enables 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.
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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.
    73
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    MIT