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Control Hyprland windows, inputs, workspaces, and screenshots through an MCP server.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "hypruse" yet — see the docs or source repo.
In Hyprland, place the terminal on the left, the browser on the right, and close any duplicate windows in the current workspace.
The AI uses MCP to control window placement and state to organize the desktop.
Switch to workspace 3, focus the target window, take a screenshot of the current screen, and return the result.
The AI switches workspaces, focuses the window, and produces a screenshot of the current desktop.
Click the search box in the current window, type "Wayland Hyprland", and press Enter.
The AI completes the requested UI interaction using mouse and keyboard control.
Developers or power users can let an AI directly operate a Hyprland desktop to handle repetitive tasks such as window arrangement, workspace switching, and basic input.
When an AI needs awareness of the current desktop state, it can use screenshot capabilities to inspect the interface and then perform follow-up actions with window controls.
In a Wayland and Hyprland environment, this tool serves as an MCP interface so AI agents can include desktop interaction in broader automation workflows.
It is an MCP server for Hyprland that allows AI agents to control workspaces, windows, the mouse, the keyboard, and take screenshots.
The provided information shows it is intended for Wayland desktops, specifically Hyprland. For support of other environments, see the source repository.
The available material does not provide installation steps or a dependency list. What we can confirm is that it relates to Hyprland, Wayland, and MCP agent integration; see the source repository for details.
Control a Hyprland desktop safely through window listing, screenshots, and isolated input.
Let AI inspect, screenshot, and control the Hyprland desktop environment.
Enable AI to control Windows apps through vision and simulated input.
Enable AI agents to control macOS GUI for end-to-end task automation.
Control Android devices through AI for testing, debugging, and automation.
Let AI see and control a Linux desktop for visual task automation.