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

Enables full desktop automation on macOS through natural language, including mouse control, keyboard input, screen capture, and GUI interaction using PyAutoGUI.

A minimal MCP server with get_weather and create_ticket tools, used for testing MCP servers across protocol, unit, eval, transport, and auth layers.

MCP server that provides OpenRouter model pricing data, enabling price lookups, trending/cheapest lists, and model searches without an API key.

Exposes 28 native tools that let an agent list, search, create, complete and delete Apple Calendar events and reminders, read and compose Mail drafts, inspect and script Safari tabs, and take full-screen, window, region or clipboard screenshots. All actions run through host AppleScript and EventKit with confirmation gates on deletes and never send mail automatically.

A local observation-only MCP server for macOS that provides secure, atomic evidence capture with strict target approval and manifest-based output.

Enables AI agents to control macOS desktop applications through screenshot capture, accessibility/OCR perception, virtual cursor input injection, semantic actions, and self-healing SOPs.

An MCP Server that provides a natural language interface to Google Cloud Resource Settings API, enabling users to view and manage settings for Google Cloud resources through conversation.

A lightweight MCP server that bridges AI agents and macOS, enabling automation of file navigation, application control, UI interaction, browser automation, and system operations.

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

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.

Enables AI to remotely control macOS systems via VNC with full desktop capabilities including screenshots, mouse control, keyboard input, and application management. Includes a web-based chat interface for natural language control.

The first open-source MCP server that enables AI to fully control remote macOS systems.

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.

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.

MCP server that enables reading and writing macOS system preferences and application settings through the defaults system.

Enables an AI agent or script to control Android TV and LG webOS devices over streamable HTTP, including key presses, app launches, power and wake, input switching, sleep timers, toasts, status checks, screenshots, and device scans, with bearer-token authentication and an app denylist.

Enables ChatGPT in Chat mode to read and write local files, view the screen, and control the macOS desktop, with target locking and local permission controls.

Enables local AI clients on Windows to automate desktop and system tasks via MCP stdio, CLI, or optional localhost HTTP, including screenshots, mouse and keyboard input, files, processes, registry, and accessibility-tree window interactions, with local-only execution and no cloud fallback.

Enables LLMs to orchestrate AI agents and tasks, inspect DAG workflows, monitor cluster metrics, and perform safe database queries and statements through standardized MCP tools.

Connects AI assistants to Apple Mail, Calendar, and Contacts on a Mac, enabling local search, message reading, contact lookup, and optionally sending email or creating calendar events with guarded confirmation.

Enables MCP-capable agents to control the macOS mouse and keyboard using screenshots and Quartz-based input events, including app switching, clicks, scrolling, text entry, shortcuts, and action-triggered screenshots.

An MCP server that drives macOS Mail: read, search, send, organise.

Enables AI agents to operate websites and Windows desktop applications by reading and acting on webpage elements, exposed UI controls, and screenshots with mouse and keyboard input. Combines browser, desktop, and computer-control channels in a single task, with an optional target selector for batched actions.

macOS Notification MCP enables AI assistants to trigger native macOS sounds, visual notifications, and text-to-speech. Built for Claude and other AI models using the Model Context Protocol.

A quickstart template to build and deploy a remote MCP server on Azure Functions using Python, secured with keys and HTTPS.

A secure, constraint-based macOS OS-level automation MCP server for AI assistants.

Provides 146 MCP tools for AI agents to control macOS, including screenshots, mouse, keyboard, window management, app automation, file system, OCR, and built-in app semantics like Calendar, Mail, Safari, Music, Messages. Enables full control over macOS through natural language.

Enables developers to build, run locally with debugging, and deploy to the cloud custom remote MCP endpoints hosted on Azure Functions, with built-in Microsoft Entra authentication. Sample projects demonstrate snippet CRUD and QR code tools, resource templates, prompt workflows, and an interactive weather demo UI.

Enables developers to build and deploy custom tool, resource, and prompt integrations to the cloud using serverless functions, with local debugging and built-in authentication.

Enables reading and writing macOS system defaults and settings through commands equivalent to the defaults command-line tool. Supports listing domains, searching for settings, and modifying system preferences programmatically.

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.

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.

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.

Manage local/SSH/WinRM remote hosts via MCP, providing tools for exec, filesystem, screen, process, serial console, and configuration.

MCP server that enables AI agents to read, edit, and create PLC projects in EcoStruxure Control Expert via COM automation.

Enables comprehensive Linux desktop agent capabilities for Ubuntu/Debian systems, including system state monitoring, package management, persistent terminal sessions, and desktop control via mouse, keyboard, and screen capture, with support for multiple remote machines and a built-in permission system.

Enables comprehensive Android device control over ADB, including UI automation, screen capture/recording, app management, file operations, and log/notification access, with a built-in permission system.