"Using a mobile phone for remote control functionality" matching MCP servers:

Enables coding agents to observe and control an authorized Android phone over ADB through MCP tools and a JSON CLI. It supports UI inspection, screenshots, taps, swipes, typing, key presses, app listing, and launching.

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

Enables an AI client to control an Android emulator or USB device over ADB by selecting a device, inspecting the UI hierarchy, and performing taps, swipes, text entry, key presses, and app launches. It relies only on Android platform-tools and exposes a compatible tool surface for phone automation.

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 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.

Enables an AI agent to boot and control an Android emulator — tapping, typing, scrolling, inspecting screens, reading logs and installing APKs — and to record those interactions as replayable, CI-ready test flows. Actions are captured by element text or id rather than coordinates, so the saved tests survive layout changes and rerun without the agent.

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 an AI client to control an Android phone over Wi-Fi adb from a container or Kubernetes Pod, supporting actions such as tapping, typing, installing apps, opening URLs, and taking screenshots via Streamable HTTP.

Validates phone numbers worldwide (carrier, line type, country) via single or batch requests, with pay-per-call using x402 micropayments (USDC on Base) — no API key required.

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.

MCP server that gives LLMs access to up-to-date mobile SDK documentation, package registry info, and GitHub issues.

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 AI-powered screenshot capture and UX/UI analysis of iOS simulators and Android emulators directly from your IDE.

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.

Enables AI assistants to control iOS simulators through WebDriverAgent, supporting taps, swipes, typing, screenshots, recording, and app actions with a real-time dashboard for visual feedback.

Portable governance control-promotion CLI and MCP server.

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.