Overlord MCP Server

Mac Overlord is an MCP server that gives AI assistants direct, native control over a macOS machine. It bridges the gap between language models and the operating system by exposing low‑level GUI interactions, screen capture, and file‑system manipulation through a simple API. The server eliminates the need for Docker or virtualized environments, allowing agents to interact with the host desktop as if they were a human user. This capability is especially valuable for developers building automation workflows, testing tools, or remote‑support bots that require real‑world interaction with macOS applications.

At its core, the server runs a Streamlit interface that serves as both a dashboard and an API entry point. It leverages the utility for reliable mouse and keyboard events, enabling precise clicks, drags, typing, and shortcut execution. Screen capture is handled by macOS’s built‑in screenshot commands, ensuring high‑fidelity images that can be fed back to the model for visual reasoning. File system operations—including reading, writing, and editing files—are exposed via standard Python libraries, giving the assistant full read/write access to the machine’s storage.

Key features include:

• Native GUI control: No emulation or remote desktop is required; commands are executed directly on the host.
• Multi‑LLM support: The server can route requests to Anthropic, Bedrock, or Vertex, allowing developers to experiment with different models without changing the client code.
• Automatic resolution scaling: Screenshots are resized to optimal XGA/WXGA dimensions, balancing visual detail with model token limits.
• Streamlit‑based UI: Provides an interactive front end for debugging, monitoring, and manual overrides during development.
• File system editing: Agents can open, modify, and save files, enabling tasks such as code generation or configuration management.

Typical use cases involve building autonomous macOS agents that can perform software installation, UI testing, or content creation. For example, a developer could program an assistant to open a code editor, write boilerplate code, compile it, and then run the resulting application—all while receiving real‑time feedback from the model about any errors or UI changes. In a support context, the server can be used to remotely control a client’s Mac for troubleshooting or onboarding, with the AI orchestrating each step based on natural language instructions.

By integrating directly into existing MCP workflows, Mac Overlord lets developers treat the operating system as a first‑class resource. The server’s simplicity, combined with its powerful native control capabilities, makes it a standout tool for anyone looking to harness AI assistants on macOS without compromising performance or security.