"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.

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.

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.

Enables an AI to see and operate an Expo / React Native app without an emulator, phone, or browser using real screenshots, taps, typing, scrolling, and automated bug hunting, with optional Android and iOS device control.

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 an agent to drive an Android phone attached via USB by reading the screen, deciding next steps, executing actions, and verifying results, all through adb.

Local-first MCP proxy with BM25 tool discovery, quarantine security, Docker isolation, OAuth support, activity logging, and web UI. Routes multiple upstream MCP servers through a single endpoint.

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.

Enables any MCP assistant to see and operate an Android phone or emulator over plain adb, reading the accessibility tree to tap elements by name and also supporting screenshots, typing, swiping, app launching and installation, and logcat — with nothing installed on the device and no root required.

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.

Enables AI agents to inspect APKs and resources, analyze native libraries, trace runtime behavior with Frida, and connect app screen actions to code through ADB.

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.

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

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.

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 coding agents to build, drive, and debug Android apps on a real device, with screenshots, UI dumps, local vision model analysis, and lock-safe Gradle builds.

LLM-optimized MCP server for Obsidian vaults with surgical edits, hash-based concurrency safety, and no whole-file rewrites.

Figma MCP server with full read/write access via plugin bridge — no API token, no rate limits. 58 tools for design automation: styles, variables, components, prototypes, and content.

Enables intelligent access to AL-Go documentation, workflows, and domain expertise for Business Central development automation through specialized personas and cross-source semantic search.

A comprehensive MCP server providing real-time Pokemon Go data including events, raids, research tasks, egg hatches, and Team Rocket lineups.

Enables automated Android APK analysis by orchestrating seven specialist reverse-engineering agents in parallel, consolidating results into a unified report.

Enables Claude to see and control a real Android phone via MCP, reading the accessibility tree to tap, type, navigate, launch apps, and diagnose connectivity over ADB or cellular.

Lets Claude see an Android phone's screen through ADB screenshots and control it by typing over ADB and by speaking button commands aloud through the PC speakers for Google Voice Access to tap, plus gestures, app launching, and optional voice input.

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.

Provides comprehensive Android device management capabilities through ADB, including device management, app management, file operations, and system monitoring.

Enables AI agents to drive a rooted Android phone using OS-reported semantics rather than screenshots or OCR: it reads a single hierarchy dump into typed, addressable controls and injects taps, swipes, and key events through a resident native daemon in tens of milliseconds. It also probes and remembers the effect of controls the OS leaves unlabeled, so subsequent screen descriptions carry learned annotations instead of guesses.