"iOS" 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 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 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.

Facilitates robotic movement control by providing functions that enable precise manipulation of linear and angular velocities through natural language commands, compatible with both ROS and ROS2.

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.

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.

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.

Provides native macOS desktop automation for AI agents, enabling screen capture, mouse/keyboard control, window management, and iOS/Android simulator control in both foreground and background modes without focus stealing.

It enables MCP-compatible AI clients to run local device, filesystem, shell, PowerShell, Git, browser, HTTP, clipboard and application actions on a Windows PC and a paired Android phone, with session-based device routing. Sensitive operations are gated behind configurable one-use approvals and recorded in a local SQLite audit.

Enables AI agents to automate Android and iOS devices, including emulators and physical devices, by capturing screenshots, reading UI accessibility trees, performing touch and text input, and managing app lifecycle and logs.

Enables the generation, management, and validation of Apple Shortcuts (.shortcut files) by providing tools to search actions and build control flow blocks. It allows users to programmatically create and analyze shortcut structures for deployment on iOS and macOS devices.

Controls a Linux host through structured interfaces like systemd, journald, and D-Bus for service management, journal queries, power operations, and more, with safety guards to prevent accidental damage.

Provides a JSON-RPC MCP server that exposes policy-governed agent tools, including paid tools, tool muxing, and OpenAPI-to-MCP conversion, enabling agents to discover, coordinate, and execute tasks within the ProtoOS ecosystem.

Enables an MCP client to observe and control a text-mode DOS system via a Python bridge, supporting keyboard input and screen capture.

Enables an LLM agent to search files, list directories, read and write UTF-8 text files, move or delete paths, list terminal processes, and launch a terminal in a chosen folder.

MCP server for Oracle Linux OS operations, providing tools for package management, kernel, storage, network, and security tasks via dbxcli.

Enables parallel agent tasks on disposable Arch Linux drones by providing a local stdio gateway for batch job submission, status monitoring, log retrieval, artifact fetching, and cancellation across SSH-connected runners.