"How to Use MacOS" matching MCP servers:

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.

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

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

MCP server that enables Claude to control your computer, similar to Anthropic's computer use but easy to set up locally.

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

A production-grade macOS MCP server exposing 33 tools for full desktop automation, including mouse, keyboard, screenshot, clipboard, and window control.

Enterprise-grade macOS MCP server that gives AI agents eyes, hands, and a terminal, enabling screen capture, mouse/keyboard control, shell commands, and file operations.

Enables shell command execution on macOS with session management, background processes, caching, and semantic search via Voyage AI.

Enables AI agents to securely use real secrets (API keys, database passwords) by requiring human approval for each release, ensuring secrets never enter the model's context.

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.

macctl is an accessibility-first macOS desktop automation MCP server that lets AI clients see the screen, inspect app accessibility trees, control mouse/keyboard, manage windows, and run commands, all behind tiered permissions and audit logging.

Local Dev Doctor turns an unfamiliar development checkout into an evidence-backed diagnosis. It discovers how the project is meant to run, checks safe prerequisites, and executes only the exact probe that a user approves.

An MCP server that provides full control over iTerm2 terminal sessions on macOS. It enables users to manage windows, tabs, and panes, run commands, read screen content, and interact with terminal sessions through Claude.

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.

MCP server that bridges AI assistants with the SUSE Linux ecosystem, enabling safe access to openSUSE Wiki, OBS, and repositories for system management.

Enables local macOS automation via the Model Context Protocol, allowing file operations, system monitoring, shell commands, clipboard access, and screenshots with configurable security restrictions.

Enables SSH remote command execution, passwordless key management, Windows Session 0 desktop process launching, and SFTP file transfers across Windows, Linux, and macOS.

Manage macOS launchd jobs from MCP tools with support for Python-script tasks, scheduling, logs, and lifecycle management.

Problem: MCP clients can't efficiently use Xcode CLI tools because the build and simulator listing commands return more than 50k tokens, exceeding MCP limits. Solution: MCP tooling using progressive disclosure with intelligent caching.

Enables executing Bash commands, pipelines, and scripts across Windows, macOS, and Linux via MCP, with support for multiple runtimes, timeouts, working directories, and stream capture.