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

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 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.

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.

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.

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

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.

MCP server for operating and testing Android devices with AI agents. Provides observation and action tools for interactive control and spreadsheet-driven test runs.

Drives Android, iOS, smart TV (Android TV, Tizen, webOS), web and Bluetooth (BLE) devices from an agent: start a session, tap, type, swipe and assert by XPath, visible text, OCR or image, then save the steps as a replayable CSV test suite.

A mobile automation MCP server providing 39 tools for Android and iOS device control, enabling AI agents to perform UI interactions, screenshot analysis, and coordinate-based operations.

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.

MCP server enabling Claude Code to capture screenshots of Windows applications through WSL2, allowing AI to diagnose UI errors and verify layouts.

MCP server that gives AI coding assistants the ability to see and interact with mobile devices. 49 tools for Android/iOS — AI-powered visual analysis (Claude + Gemini), smart tap/type by description, Flutter widget tree inspection, video recording, and test script generation. 4-tier element search with <1ms local matching. Free tier included, zero setup via npx.

Enables MCP clients to discover, pair with, and control Android phones running the FreeCode Agent app over a local network, including accessibility tree inspection, taps/swipes/text input, screenshots, and live screen streaming.

Enables mobile device automation on Android and iOS via MCP, including native UI operations, WebView CDP debugging, and reusable JSON flow replay.

An MCP server for mobile automation that enables LLMs to interact with Android and iOS devices through screenshot, tap, swipe, log analysis, and app lifecycle management.

Enables AI assistants to write and run mobile UI tests on Android and iOS simulators via natural language, supporting native and WebView apps without Appium.

Lets coding agents statically scan Swift, Kotlin/Java, Dart, React Native and manifest files for crash-prone operators, main-thread deadlocks, missing accessibility labels, insecure token storage, cleartext traffic and vague permission strings, and cross-check platform APIs against Info.plist, PrivacyInfo.xcprivacy and AndroidManifest permission/exported settings. It also runs syntax or full build verification, returning FAIL on error-level findings so agents must fix issues before claiming work is done.

Enables AI agents to inspect why React components re-rendered, replay recorded browser interactions as performance scenarios in headless Chrome, and verify fixes against performance budgets.

An MCP server that enables AI agents to drive real Android apps, capture API traffic, and test mobile-native attack surfaces, similar to Playwright for mobile.

AI-safe mobile device control via MCP: a policy-guarded, session-oriented mobile automation harness for AI agents with 66 MCP tools and an Explorer for automatic page traversal.

A comprehensive server that integrates mobile testing frameworks with JIRA, generating BDD test scenarios and framework-compatible test scripts automatically.

Autonomous code quality review and verification framework enforcing ISO/IEC 25010 and OWASP ASVS standards for AI-assisted engineering.

An MCP server providing intelligent development assistance for WaveMaker React Native projects. This tool integrates with Cursor IDE to help developers solve bugs, optimize performance, analyze code, and generate tests.

Enables AI coding agents to test and automate Android apps rendering UI in OpenGL/Vulkan/Metal surfaces via screenshot-based vision tools for tapping, swiping, long-pressing, and recording, without accessibility tree dependency.

Runtime access for AI coding agents to observe and control Android and iOS apps.

A local, stdio-only Model Context Protocol server that lets coding agents inspect, control, and test Apple iOS Simulators and Google Android Emulators. It exposes 29 typed tools for device lifecycle, app management, UI automation, screenshots, logs, permissions, location, and platform-specific test conditions.

An MCP server that gives AI agents the power to record, replay, and mock mobile app interactions — combining Maestro UI automation with Proxyman network capture to generate complete, self-contained test scripts.

A Model Context Protocol server for mobile automation and development, offering a single API to control iOS and Android devices (simulators, emulators, real devices) through accessibility trees and coordinate-based interactions. It lets AI agents launch apps, tap, swipe, type, capture screenshots, and extract structured data from native mobile apps.