hypr-mcp
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- FlicenseNot gradedqualityDmaintenanceEnables LLMs to capture screenshots, inspect windows, and interact with the Hyprland desktop environment through mouse clicks and keyboard input.1-
- AlicenseAqualityAmaintenanceEnables AI assistants to automate Wayland desktop environments through screenshot analysis, mouse control, and keyboard input simulation. It supports visual context via VLM providers like Gemini and OpenRouter to perform complex, multi-step desktop actions.1036 PyPI15GPL 3.0
- AlicenseNot gradedqualityBmaintenanceEnables AI agents to control a Hyprland Wayland desktop by listing windows, capturing screenshots, and sending input to a dedicated agent workspace without disrupting the user's screen.1MIT
- AlicenseAqualityBmaintenanceEnables AI agents to control Hyprland desktops via MCP, including pointer/keyboard input, screenshots, launching apps, and natural-language window targeting using a local decision model.141MIT
- AlicenseNot gradedqualityDmaintenanceEnables an AI agent to see and control a Linux desktop via Wayland/Hyprland, providing screenshots, structured desktop state, pointer/keyboard input, semantic window/workspace tools, and a policy engine for safe execution.Apache 2.0
- AlicenseCqualityCmaintenanceEnables an AI assistant to control a Hyprland/Wayland Linux desktop through 178 tools across 30 categories, covering audio, window and workspace management, themes and wallpapers, screenshots and recording, Bluetooth, media playback, notifications, system stats, and chained multi-step macros. Everything runs locally via hyprctl, PipeWire, and standard Linux utilities, with no cloud dependencies.178MIT
TDQS
Scored across 27 tools
Each tool targets a distinct resource or action. Overlapping categories (type_text, key_press, paste_text) are clearly differentiated by use case, and OCR tools (find_text_on_screen, wait_text, click_text) have precise roles. No ambiguity that would cause an agent to select the wrong tool.
All tools follow a consistent snake_case verb_noun pattern (list_monitors, switch_workspace, mouse_click, clipboard_write). The verbs are predictable and the naming is uniform, making the set highly readable and navigable.
With 27 tools, the count exceeds the 25+ threshold for 'too many'. While the domain is broad (window management, input, OCR, clipboard), the tool surface feels heavy and could potentially be consolidated. The scope justifies many tools, but the sheer number edges into over-provisioning.
The toolset covers window lifecycle, workspace switching, input control, OCR, clipboard, and screenshots. Minor gaps exist (e.g., no minimize or workspace creation), but core automation workflows are fully supported, and agents can accomplish most tasks without dead ends.