by CursorTouch · MCP Server · ★ 81
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🍎 macOS-MCP Overview macOS-MCP is a lightweight, open-source Model Context Protocol server that bridges AI agents and the macOS operating system. It enables seamless automation of macOS through LLMs via tasks such as file navigation, application control, UI interaction, browser automation, and system operations. Supported Operating Systems macOS 12 (Monterey) macOS 13 (Ventura) macOS 14 (Sonoma) macOS 15 (Sequoia) Key Features Works with Any LLM (Vision Optional) Unlike traditional automation tools, macOS-MCP doesn't require computer vision, fine-tuned models, or specialized setup. Works seamlessly with any LLM—Claude, GPT, Gemini, or others. Native macOS Integration Interacts natively with macOS UI elements using the Accessibility API. Opens apps, controls windows, simulates user input, and captures desktop state without workarounds. Rich Toolset for Automation Complete toolkit for keyboard/mouse operations, window management, UI state capture, interactive element
| Stars | 81 |
| Forks | 18 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 76.2863459080514/100 |
| Last Updated | 2026-06-20 |
| Created | 2026-03-24 |
| Platforms | mcp, python |
| Est. Tokens | ~15k |
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MacOS-MCP is Lightweight MCP server for computer use in MacOS. It is categorized as a MCP Server with 81 GitHub stars.
MacOS-MCP is primarily written in Python. It covers topics such as computer-use, macos, mcp-server.
You can find installation instructions and usage details in the MacOS-MCP GitHub repository at github.com/CursorTouch/MacOS-MCP. The project has 81 stars and 18 forks, indicating an active community.
MacOS-MCP is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to MacOS-MCP on Agent Skills Hub include daymon, mac_messages_mcp, os-ai-computer-use. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.