"A server for finding information about React Native mobile development framework" matching MCP servers:

MCP server that gives AI coding agents hands, eyes and a mechanic's ear for React Native development.

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.

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.

Provides comprehensive tools for React Native development, automating project initialization, version management, upgrades, Expo integration, and development workflows through AI assistance.

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.

An MCP server for React Native development with Expo, offering automated code remediation, refactoring, testing, and analysis tools to accelerate development and enforce best practices.

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.

An MCP server that connects to your React Native application debugger

Enables AI agents to perform semantic search over React Native documentation, retrieve specific pages, and manage doc versions locally without API keys.

Enables automation and monitoring of React Native apps by providing tools to tap, swipe, screenshot, inspect component state, profile renders, and mock network requests via MCP.

Bridges React Native DevTools, enabling AI assistants to debug, profile, and inspect React Native applications through a standardized protocol.

A powerful Model Context Protocol framework that extends Cursor IDE with tools for web content retrieval, PDF processing, and Word document parsing.

Enables AI agents such as Cursor and Claude Desktop to read a running debugger's captured console logs and network sessions, inspect full request/response payloads, diagnose crashes and failed API calls, and trigger React Native reloads or the developer menu.

Provides AI assistants offline fuzzy search, precise section retrieval, and section listing over bundled mobile-development documentation, enabling natural-language lookups of components, hooks, guides, and best practices.

Enables intelligent access to React Native Godot documentation, examples, API references, and troubleshooting guides through searchable tools optimized for LLM workflows.

Enables users to safely read, write, edit, create directories, and list trees within a structured local Windows environment, with strict path validation and Git-based undo/version control.

A TypeScript framework for building Model Context Protocol (MCP) servers with automatic discovery and loading of tools, resources, and prompts.

Converts a Figma file into a React project using Ant Design, AG Grid, ApexCharts, and Tailwind CSS, with optional export of mobile screens as a React Native (Expo) app.

A version-aware documentation MCP server for mobile development that verifies API availability against target platform versions.

MCP server providing AI coding assistants with documentation and source code for @gaddario98 React packages, including tools for listing packages, retrieving docs and types, and searching source.

Enables agents and LLMs to interact with native iOS and Android applications and devices via structured accessibility snapshots or coordinate-based taps, supporting simulators, emulators, and real devices.

Provides comprehensive development tools for FastMCP projects including documentation access, NPM package version management, and TypeScript type definitions retrieval. Enables developers to fetch FastMCP documentation, analyze NPM packages, and access MCP architecture information through natural language.

A minimal, secure MCP server for AI-assisted mobile development, enabling build, install, interact, and inspect Android/iOS apps.

Enables agents and LLMs to automate, inspect, and scrape native iOS and Android apps across simulators, emulators, and real devices through a platform-agnostic interface using accessibility snapshots or screenshot-based coordinates. It provides device, app, screen, input, log, and crash management tools, including optional cloud device reservation.

Enables mobile device automation for Android (via ADB) and iOS Simulator (via simctl), allowing you to control devices with natural language through screenshots, UI interactions, text input, and app management.

Enables AI agents to inspect, log, and control React Native apps on Android emulators or iOS simulators, including UI tree, tap, scroll, and hot reload.

Automates the React Native Upgrade Helper website to extract upgrade information and file diffs between React Native versions.

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.

Transforms AI assistants into mobile development powerhouses with 36 tools for Flutter, Android, and iOS development, including intelligent device management, automated builds, testing, and deployment workflows.

Provides a native mobile design workflow for Claude Code and Codex, combining award/curated app reference research, bounded design-review evidence packets, and authored SwiftUI and Jetpack Compose motion recipes. It also helps agents organize briefs, annotate reference flows, and analyze transition frames so designs can be implemented and independently reviewed against real app evidence.