mcp-macos-control
AI desktop automation server — a native macOS control interface for LLMs.
- Stack
- TypeScript · Node.js · Model Context Protocol (MCP) · macOS Native APIs
- Links
- GitHub
An MCP (Model Context Protocol) server implementation that enables LLMs to directly interact with and control the macOS environment.
Developed to bridge the gap between generative AI and local desktop automation. By implementing the Model Context Protocol, this project empowers AI agents to execute system-level commands, manage windows, and simulate inputs on macOS seamlessly.
Key features
- MCP standard implementation. Built strictly following the Model Context Protocol specification to ensure compatibility with modern AI clients.
- System control and automation. Exposes tools for executing shell commands, managing application windows, and simulating keyboard and mouse events.
- Security-first design. Designed with permission boundaries to allow safe experimentation with agentic AI on local machines.
- Bridge to native. Uses Node.js to interface with native macOS APIs, enabling precise control over the desktop environment.
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