"How to control macOS settings or functions" matching MCP servers:

Give AI agents eyes and hands on macOS.

MCP server that enables AI to fully control macOS — mouse, keyboard, terminal, screenshots, window management, UI element detection, and provides AI-optimized information reporting.

Enables comprehensive control over macOS GUI elements including mouse, keyboard, window management, and screen capture. It allows for automated system interactions and script execution while maintaining safety by blocking potentially destructive deletion commands.

Enables an AI agent to safely observe and operate a Mac, starting read-only with optional read-write and admin tools for files, processes, apps, shell, AppleScript, and GUI control behind explicit permissions and human approval.

Enables AI agents to control macOS desktop apps via screenshots, mouse clicks, keyboard input, accessibility queries, and AppleScript.

Local MCP server for macOS native apps: Mail, Calendar, Reminders, Notes, Messages, and Contacts. Enables reading and organizing your Mac life through a single stdio process using AppleScript/JXA.

Lets MCP clients discover and run AppleScript or JavaScript for Automation (JXA) to control macOS applications, inspect the system, or reuse scripts from a bundled knowledge base.

Let AI agents operate a real USB-connected iPhone from Linux — no Mac, no jailbreak, no paid developer account. Screenshots, taps, swipes, text input, element tree and app control via WebDriverAgent, with CoreDevice HID fallback.

Provides a Model Context Protocol server for executing AppleScript and JavaScript for Automation scripts on macOS, featuring a knowledge base of pre-defined scripts and supporting automation of macOS applications and system functions.

Provides native macOS computer control tools including mouse and keyboard simulation, screenshot capture, and application management for MCP-compatible agents. It enables AI assistants to directly interact with the macOS operating system and installed apps through standard tool calls.

Deterministic, LLM-first control of Word documents (.docx). An agent reads the outline, finds text by phrase, and applies edits as tracked changes and comments in one atomic batch, with a safety layer that refuses edits based on a stale read and rolls back failed batches. It works on .docx files directly, and can also drive an open document in Microsoft Word on Windows or in LibreOffice Writer.

Enables Claude to control the macOS Mail app for reading, searching, drafting, sending, and managing emails directly from Claude Desktop.

An MCP server that lets AI assistants see your macOS desktop, capture screenshots, read browser tabs, and preview files via local macOS tools.

Enables AI agents to display native macOS popup notification and Markdown document cards, target specific monitors, list connected displays, and retrieve the currently focused screen.

Provides secure access to macOS Reminders, Calendar, and Notes using semantic tools and validated AppleScript templates. It enables users to manage schedules, tasks, and notes through natural language while ensuring multi-layer security validation.

One local MCP server for Mail, Calendar, Reminders, Notes, Messages and five more macOS apps. Searches return pointers, not full bodies; deletes, moves and sends preview first; sending is off by default.

An MCP server that enables AI assistants to send native macOS notifications with automatic project detection and categorization. It includes logging capabilities for all notifications to provide an audit trail of system alerts.

Enables AI agents to call native macOS calendars, reminders, files, desktop/system actions, selected Apple apps, shortcuts, and web tools through MCP, with scoped file access and explicit approvals for writes.

Enables Claude to inspect and drive native macOS app UIs during development via an in-process view tree and screenshot renderer, without requiring screen recording permission.

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 interaction with macOS system features including file dialogs, clipboard management, Finder integration, and system notifications. It also provides tools for taking screenshots, processing images, managing PDFs, and interacting with the Apple Notes app.

Enables AI agents to directly access native macOS services, media, system health, and administration tools through a local MCP server.

Portable governance control-promotion CLI and MCP server.

Provides MCP tools to copy text to and paste text or images from the macOS clipboard using AppleScript.

Enables LLM agents to monitor Mac thermals and control fan speed with safety limits enforced by a root daemon.

Local OCR & image analysis via Apple Vision Framework — private, offline, no API keys. Extracts text from images and PDFs, detects faces, barcodes, QR codes, and document corners. Works with Claude Code, Claude Desktop, and Cursor.

Enables MCP clients to turn Make blueprints and Zapier exports into n8n workflow files, with a per-step report of what converted, what to review, and what must be finished by hand. Also lists zaps, explains how individual steps are handled, checks workflow files for broken links or placeholders, and can upload the result to an n8n instance as an inactive workflow.

A local stdio MCP service that lets an authorized AI assistant see and operate one Android phone through ADB, with screenshots, on-device OCR, text/coordinate taps, swipes, and app launching, plus optional scrcpy-based Chinese and emoji input. Includes zoomed inspection, a 0-1000 coordinate ruler, and crosshair preview with post-tap feedback so actions can be verified against the real screen.

An MCP server that lets AI agents control Android TVs via ADB, including searching and playing content across streaming services, managing power and volume, and sending remote control commands.

Enables AI assistants to control Roku TVs on the local network via natural language commands.

An MCP server that enables AI assistants to control TVs on a local network through natural language commands. It currently supports Roku devices, allowing users to launch apps, manage playback, and navigate menus.

Provides full control of a macOS system, enabling AI agents to execute shell commands, run AppleScript, manage files and processes, and perform human-like GUI interactions such as clicking, dragging, scrolling, and typing, with a screenshot-based perception loop.

Enables AI agents to drive the Arc browser on macOS, including tab management, navigation, page reading, DOM interaction, and JavaScript scripting via AppleScript automation.

Enables safe, structured control of Blender on Windows via a standalone STDIO MCP server, providing seven tools to inspect scenes, list and edit materials, transform objects, add modifiers, set smooth shading, and export assets without arbitrary code execution.

AI-powered MCP server for file renaming, organization, and PDF splitting using natural language prompts and content analysis.

Enables MCP clients to open and close applications, files, and folders on a Windows machine, manage running apps and File Explorer windows, control Chrome tabs, and perform system actions like shutdown and restart.

Enables managing and controlling AnythingLLM instances through MCP, providing tools to list, create, and delete workspaces, retrieve system environment settings, and get vector counts.

Routes one brief to the right image model across 60+ (gpt-image-1.5, Ideogram 3, Recraft V4, Flux), validates the output, and fans out to iOS/Android/PWA/favicon/visionOS/Flutter bundles. Works without an API key via Pollinations, HF Inference, Stable Horde, or host-LLM inline SVG.

A Playwright-powered MCP server for browser automation using ARIA snapshots and element refs, enabling LLMs to control Chrome/Edge without CSS selectors.

Turns Canvas LMS into a scriptable pipeline and exposes it to AI assistants via MCP for querying courses, grades, assignments, and syncing files using natural language.