"iOS Anti-Debugging Techniques and Implementation" matching MCP servers:

Exposes native iPhone device services and UI automation through MCP, enabling agents to inspect and control trusted iPhones via a unified interface.

Enables a macOS MCP client to control a real iPhone through CoreDevice services, including screenshots, normalized taps and swipes, text entry, hardware-button presses, and app launching or listing.

Enables controlling a real iPhone or iPad over USB for app development testing, including building and installing apps, launching with console logs, inspecting the accessibility tree, tapping, swiping, typing, taking screenshots, managing app files, and recording audio.

Windows桌面截图与窗口自动化工具，支持后台操作、不抢焦点，可截取窗口/屏幕、模拟鼠标键盘、点击菜单等。

Your sysadmin co-pilot — an AI that administers Linux through typed, approval-gated, Ed25519-audited actions instead of shell strings. Reference implementation of the LACS standard.

Enables debugging and automation of native Electron applications on macOS through DOM inspection, UI automation, global hotkeys, and Chrome DevTools Protocol integration.

Stop Package Chaos: Unveil Your Mac’s Setup for Targeted ML Debugging

A Model Context Protocol (MCP) server that enables AI assistants to control and interact with Android devices, allowing for device management, app debugging, system analysis, and UI automation through natural language commands.

Enables programmatic control over tmux terminal sessions for SSH access, command execution, and terminal automation. Supports creating sessions, sending commands, capturing output, and managing multiple panes for interactive debugging and monitoring.

Enables AI agents to automate GUI interactions across Windows, Linux, macOS, Android, iOS, and browsers using structured platform APIs first, with vision grounding as a fallback for robust cross-platform computer use.

Enables managing Keyboard Maestro macros with natural language commands, including creation, editing, execution, and debugging.

A Model Context Protocol server for conducting Linux binary analysis and guest system forensics within QEMU virtual machines. It enables automated VM lifecycle management, memory dumping, and interactive debugging workflows for analyzing processes and artifacts.

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 AI agents to control Android phones, emulators, redroid containers, iOS devices, and cloud-hosted devices through a perceive-act-verify loop of screen reading, taps, gestures, typing, and app launching. Exposes 138 tools for driving screens, elements, and files over adb, Portal APIs, and ios-portal without running ARM-only code on the device.

Control real iPhones from Claude through MCP, enabling AI to read screens, plan multi-step tasks, and execute human-like touch gestures on stock iOS devices without jailbreak.

A server implementation that enables natural language interactions with UniFi network devices by wrapping the UniFi Network API for AI agents like Goose and Claude.

Controls Android and iOS devices from AI agents through a token-efficient MCP server, enabling observation, tapping, typing, gestures, navigation, assertions, and safety-gated actions.

A privacy-first macOS MCP server that enables AI agents to capture screenshots of pre-approved application windows for development and debugging tasks.

Enables AI-driven phone management for Android and iOS devices, including flashing, unlocking, and automation via MCP.

Gives AI agents uniform perception and control over Android, iOS, and mock mobile devices through MCP, including taps, typing, app navigation, deep links, SMS/OTP retrieval, and human-in-the-loop approvals.