"Evaluating an Expo Go App and Associated React Native Code in an Android Emulator" matching MCP servers:

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 AI agents with accurate, version-aware documentation for React Native, Expo, React Navigation, and Ignite by automatically detecting project dependencies and fetching matching documentation.

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 AI agents to debug and repair historical Solaris/SPARC systems by providing an out-of-band control plane with guest DTrace, QEMU monitor access, SPARC-aware GDB, host eBPF/perf tracing, and an immutable evidence ledger for cross-layer hypothesis testing.

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.

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.

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.

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.

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.

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.

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.

Deterministic BizHawk control over MCP for Game Boy, Mega Drive/Genesis, NES, and SNES.

Enables AI assistants and local LLMs to interact with BirdNET-Go bioacoustic observatories, providing tools to query recent and historical bird detections, monitor station health, and retrieve audio clips.

Call OpenAI Codex from Claude Code for independent second opinions, structured code review, and delegated coding tasks through a FastMCP plugin that drives the codex CLI safely.

Minimal Go library for building stdio MCP servers on the official go-sdk — struct-derived JSON Schema, tiny static binaries.

Enables orchestrator agents to route coding tasks to native CLI worker agents via MCP, providing tools for agent discovery, task submission, waiting, inspection, and cancellation.

Enables AI agents to profile React applications, detect performance bottlenecks, and automatically apply fixes like memoization and code hoisting.

Inspects and queries SQLite databases on Android devices via ADB, supporting listing databases/tables, describing schemas, and executing SELECT/INSERT/UPDATE/DELETE queries.

This MCP server enables MCP Apps-compatible hosts to render an interactive React-based UI and invoke a sample tool over streamable HTTP or stdio transports.

A Windows-only MCP server for controlling a real browser using native screenshots, Windows accessibility, and node-interception mouse/keyboard input, without CDP or Playwright.