AppleScript MCP Server

Overview

The AppleScript MCP server bridges the gap between AI assistants and macOS automation. By exposing an HTTP‑based interface that accepts AppleScript payloads, it allows any MCP‑compatible client—such as Claude or other AI agents—to issue native AppleScript commands remotely. This solves the common problem of “in‑app” automation: developers and power users can now trigger complex macOS workflows without opening Terminal or writing custom scripts, simply by sending a JSON request from their AI workflow.

At its core, the server listens for POST requests on a configurable endpoint (e.g., ). When it receives an AppleScript string, the server executes it using the system’s interpreter and returns the output or any errors. This design keeps the server lightweight while delegating script execution to macOS’s trusted scripting engine, ensuring that security and permissions are handled by the OS. For developers building AI‑powered tools, this means they can embed macOS control directly into conversational agents or workflow automators without writing platform‑specific code.

Key capabilities include:

• Full system control: From launching apps to modifying system settings, any AppleScript‑capable task can be performed.
• Cross‑platform interaction: The HTTP API works on any device that can send requests, enabling remote control from Windows, Linux, or mobile devices.
• Scalable integration: The server can be wrapped in a Docker container or deployed on a local network, making it suitable for both personal use and enterprise environments.
• Extensible command set: Clients can send arbitrary AppleScript, allowing future expansion to new macOS features without changing the server.

Typical use cases span a wide spectrum. A developer might let an AI assistant automatically set up a new project by creating folders, opening Xcode, and configuring environment variables—all via AppleScript. A system administrator could use the server to push configuration changes across multiple Macs, while a content creator could trigger media editing scripts in Final Cut Pro from a chat interface. In research settings, AI agents can experiment with macOS UI elements by scripting interactions and capturing results.

Integration into AI workflows is straightforward: an MCP client simply sends a request with the desired AppleScript, receives the execution result, and can feed that back into the conversation or use it to trigger subsequent actions. Because the server returns structured responses, developers can build rich feedback loops—e.g., confirming that a folder was created or that an application launched successfully. The combination of AppleScript’s expressive power and MCP’s flexible messaging makes this server a unique tool for developers seeking deep, automated control over macOS from conversational AI.