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"A comprehensive MCP server for building and debugging React Native apps" matching MCP servers:

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    Provides AI agents with accurate, version-aware documentation for React Native, Expo, React Navigation, and Ignite by automatically detecting project dependencies and fetching matching documentation.
    12
    MIT
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    Connects AI agents to a running React Native app so they can see the screen, tap and type, and inspect logs, network traffic, and state without any SDK or code changes. Composite tools let an agent run a whole interaction flow in a single call instead of one round trip per tap.
    1
    MIT
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    Provides comprehensive React Native development assistance with expert-level automated code remediation, security vulnerability fixes, performance optimization, and production-ready code generation. Includes testing suite generation, dependency management, and accessibility compliance tools.
    13
    67 npm
    66
    MIT
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    Exposes mobile system capabilities as MCP tools so AI agents can access clipboard, location, calendar, contacts, files, storage, networking, and device connectivity through standard transports. It applies permission policies and native adapters for integration into mobile apps without bundling an AI agent or host bridge.
    6 npm
    MIT
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    Bridges React Native DevTools, enabling AI assistants to debug, profile, and inspect React Native applications through a standardized protocol.
    10 npm
    4
    MIT
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    An MCP server designed for React Native and Expo development that provides specialized tools for project scaffolding, architectural best practices, and troubleshooting. It enables AI assistants to guide users through setup, navigation configuration, and CI/CD processes using modern stacks like NativeWind and Zustand.
    13
    4
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    Enables LLMs to automatically diagnose coding errors through codebase search, test execution, and live debugger integration (DAP/V8 CDP). Provides a secure, policy-gated environment for investigating failures while preventing destructive operations.
    9
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    Enables agents to drive a running React application through typed MCP tools, using the same actions as the UI instead of browser automation.
    32 npm
    1
    Apache 2.0
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    Provides AI agents with visibility into React applications by exposing tools to inspect component state, props, and performance metrics. It enables debugging and state analysis for both web and React Native applications through the Model Context Protocol.
    45
    7 npm
    1
    MIT
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    Provides intelligent error detection and debugging capabilities across multiple programming languages with real-time monitoring of build, lint, runtime, console, and test errors. Offers AI-enhanced error analysis with automated resolution suggestions and context-aware debugging.
    2
    MIT
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    Enables interacting with YouTube Data API v3 through MCP tools (get-video, get-channel, get-latest-video) and bundled UI apps for video and channel profiles.
    4 npm
    4
    MIT
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    Enables building configurable workplace dashboards with eight MCP apps/widgets for agenda, brief, attention, goals, leave, learning, updates, and actions, all backed by synthetic live data via a standard MCP server.
    MIT