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

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

Enables agents to launch and control interactive terminal sessions, inspecting screen text and formatting while sending keyboard and mouse input. Supports real pseudoterminals with resizing, snapshots, and session lifecycle management.

A single MCP server that orchestrates Expo CLI, Metro, and adb for local Expo project management, including device interaction and session summaries.

An MCP server that gives coding agents hands and eyes on an Android device, providing 19 tools for building, testing, installing, UI inspection, input, logs, and toolchain diagnosis. It returns concise, structured results to make the build-debug loop efficient.

Enables AI agents to control, inspect, and automate Android devices, Waydroid containers, and AVD emulators over ADB. Provides tools for screenshots, UI-hierarchy text-based tapping, gestures, key presses, text input, app management, and raw shell commands.

MCP server that lets an AI assistant see and control an Android phone over ADB: screenshots, UI dump, tap, swipe, type, keys, open apps. Safety guards: device allowlist, sensitive-app block, raw shell off by default, rate limit.

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.

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

A MCP server that enables LLMs to control Android devices via ADB, supporting input, UI hierarchy, device management, and shell commands.

Enables control and automation of Android devices using uiautomator2 and ADB. It supports UI interactions, app management, and shell command execution through the Model Context Protocol.

An MCP server that wraps Android ADB functionality into AI assistant tools, enabling device management, shell execution, file operations, app management, media capture, and log analysis via natural language.

Secure, read-only MCP server that lets AI assistants (Claude, OpenCode, VS Code) inspect Android devices via ADB — logcat, UI hierarchy, installed packages, and allowlisted shell commands. TypeScript/Node.js.

Enables MCP-compatible AI clients to interpret the init-app CLI, explore its supported blueprints, and translate natural-language project requirements into validated command arguments without executing the CLI.

Enables Codex to manage a local Claude Code companion through MCP, implementing a dual-agent workflow where Codex handles reasoning and review while Claude Code performs engineering tasks.

Enables AI agents to control Android devices through natural language, supporting app management, UI interaction, gestures, and system operations via uiautomator2.

Enables AI coding agents to build, test, lint, and debug Android projects with concise Gradle output, filtered logcat, and connected-device inspection and interaction. It also supports setup across several agent clients and caps noisy output to save tokens.

MCP server that lists, installs, and removes applications on Linux targets via Peckboard, supporting local and remote SSH hosts with distro package managers and pip.

A secure local MCP server that allows AI assistants to inspect and diagnose Expo-based React Native projects, offering read-only tools for project summary, doctor checks, dependency validation, and public config retrieval.

Controls Android emulators from any MCP-capable client via ADB and emulator CLI, supporting AVD management, APK operations, screen interactions, and device diagnostics.

Enables AI agents to manage a Canonical Landscape estate, including inventory, alerts, patching, and script execution, with built-in safety layers to prevent accidental destructive actions.

Enables AI agents to interact programmatically with Claude Code CLI, managing sessions, streaming outputs, and handling permission requests.

Creates short-lived, offline JavaScript sandbox containers for safe code execution via MCP, with no network access and strict resource limits.

Enables an AI assistant to operate a Linux machine through tools for files, search, shell commands, long-running processes, git, desktop control, screenshots, and local spreadsheets.

Enables file reading with pagination and regex-based code search across a codebase using grep.

An MCP server that allows Claude Desktop to remotely control Claude Code instances for executing commands and managing files.

Delegates coding tasks to the local Claude Code CLI via MCP, offering run, review, and status tools for MCP-compatible agents.

Enables AI assistants to find and launch Windows applications by name using multi-strategy discovery via registry, Start Menu, PATH, and common directories.

Launch Windows applications by name, alias, or path via MCP, supporting arguments and working directories. Uses Task Scheduler to detach launched processes so they persist independently of the MCP server.

Enables a Claude Desktop or Claude Code session to start, drive, and supervise interactive Claude Code CLI worker runs, including sending prompts, reading terminal output, waiting for completion, stopping runs, and managing settings and permissions.

This server gives AI clients a persistent, isolated Linux container in which the model can run any bash command as root with internet access, install packages and start long-running processes without command filtering. Files produced inside it can be handed back to the user as signed, expiring public download links suitable for PDFs, images, audio and video.