"A powerful filesystem that works on both Windows and Mac" matching MCP servers:

MCP server for local Mac desktop control, enabling mouse, keyboard, and screenshot actions for AI agents like Grok and Cursor.

Zero-dependency macOS desktop automation for AI agents. Screenshot, mouse, keyboard, clipboard, and window control via MCP. 18 tools, macOS 13+, one command: npx mac-use-mcp.

fork from https://github.com/JoshuaRileyDev/mac-apps-launcher

Enables AI agents to interact with macOS applications (Finder, Mail, Contacts, Reminders, Notes, Calendar, TextEdit) using AppleScript. Allows AI assistants to perform tasks like searching contacts, managing files, checking email, and creating reminders through natural language.

High-performance MCP server giving AI agents advanced filesystem and automation capabilities on Windows, with 26 tools across file I/O, search, Git, process management, and more.

Enables safe scanning and cleaning of macOS developer caches and temporary files, with dry-run support and strict refusal to delete non-whitelisted locations.

An MCP server designed for managing files and folders specifically on the Windows Desktop. It enables users to perform file operations like deletion while implementing security measures to prevent path traversal outside the Desktop directory.

An open-source MCP server for macOS that lets AI control desktop apps in the background without moving the cursor or stealing focus.

An enterprise-grade automation server that enables AI assistants to control Windows PCs through intelligent UI element detection, window management, and system-level commands. It leverages the Windows UI Automation tree for reliable interaction, providing tools for mouse/keyboard control, application management, and high-performance screen state analysis.

Go server implementing Model Context Protocol (MCP) for filesystem operations.

An MCP server to list and launch applications on MacOS

A lightweight server that enables AI agents to interact natively with the Windows operating system for tasks like UI automation and application control. It allows LLMs to perform file navigation, simulate user input, and manage windows without requiring specialized computer vision models.

Enables AI agents to interact with Windows operating systems by providing tools for UI automation, file navigation, application control, and system operations. Works with any LLM to perform tasks like clicking, typing, launching applications, and executing PowerShell commands through native Windows integration.

MCP server that captures a Windows application's pixels and bounded UI Automation tree with provider-exposed text for Codex inspection. It supports capture, listing, retrieval, and watcher control commands.

Windows integration MCP server that enables Claude to interact with Windows system features including media playback control, notification management, window operations, screenshots, monitor control, theme settings, file opening, and clipboard access.

A native Swift MCP server for full macOS automation, providing 63 tools for controlling windows, browsers, clipboard, screen capture, OCR, input simulation, and more.

A lightweight server that enables AI agents to interact with the Windows operating system, allowing for file navigation, application control, UI interaction, and QA testing through various tools.

An MCP server that enables AI coding agents to capture screenshots of macOS windows and displays on demand, providing tools for window discovery and screen capture.

A Windows-only MCP server that gives AI models eyes and hands on a Windows machine, enabling file reading, screenshots, mouse/keyboard injection, and an auto-debug loop with a safety-focused watchdog for protected abort regions.

A minimal macOS GUI-automation MCP server providing tools to see app state, perform actions, manage apps, send notifications, and run AppleScripts with security boundaries.