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Let agents control local macOS apps without stealing focus.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "silenthand" yet — see the docs or source repo.
Using silenthand on my macOS, open the target app, click “Settings” in the sidebar, type a test message, and return a summary of the visible accessibility tree.
The tool clicks and types in the local UI, then returns relevant UI elements or a structure summary.
Read the accessibility tree of the current window and list the main buttons, text fields, and selected states so I can understand the UI structure.
Outputs the main accessibility nodes of the current interface and their states.
Without stealing my current input focus, perform a sequence of clicks and typing actions on my Mac and report the completion status of each step.
Completes the automation steps while minimizing focus interruption and reports execution progress.
Developers or product managers can let AI perform repetitive clicks and typing in local apps. It fits automation workflows that need access to the real desktop interface.
When you need to understand the elements of a macOS app interface, this tool can read the accessibility tree. That helps AI reason about the UI and plan follow-up actions.
It is an MCP tool that lets agents click, type, and inspect accessibility trees on a local macOS machine. The description also says it works through an unofficial host for OpenAI Computer Use.
Based on the provided description, it is intended for use on a local macOS computer. The given material does not provide installation steps, dependencies, or key requirements; see the source repository.
The known difference is that it lets agents click, type, and inspect the accessibility tree while aiming not to steal focus. The provided material does not specify more detailed capability boundaries or comparisons.
Lets MCP coding agents read and control browser pages with human-like actions.
Let AI control your real desktop apps to complete tasks automatically.
Native macOS desktop automation for screen control, window actions, and simulator operations.
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Enable AI agents to control macOS GUI for end-to-end task automation.
Let AI agents control macOS apps and read UI elements automatically.