# Hyprland

> Use this tool when you need to control your Hyprland desktop environment through natural language commands, allowing for seamless interaction with your window manager. It provides AI assistants with access to functionality such as listing monitors, workspaces, and windows, as well as modifying configuration settings. Ideal for users who want to manage their desktop without leaving their conversation context.

Canonical page: https://skillsregistry.net/skills/stefanoamorelli-hyprland  
JSON: https://api.skillsregistry.net/v1/skills/stefanoamorelli-hyprland

## Description

Hyprmcp is a Model Context Protocol server that provides AI assistants with direct access to Hyprland window manager functionality. Built by Stefano Amorelli, this implementation wraps the hyprctl command-line tool to expose capabilities such as listing monitors, workspaces, and windows, as well as dispatching commands and modifying configuration settings. The server handles environment variables and proper error reporting, making it particularly useful for users who want to control their Hyprland desktop environment through natural language commands without leaving their conversation context.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** data-analytics
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/stefanoamorelli-hyprland)
- **Repository:** <https://github.com/stefanoamorelli/hyprmcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "stefanoamorelli-hyprland"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/stefanoamorelli-hyprland` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/stefanoamorelli-hyprland/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt