# arch-niri-mcp

> arch-niri-mcp — oki3505f-arch-niri-mcp. Use this tool when you need to manage and automate Arch Linux/CachyOS systems and the Niri Desktop Environment using natural language commands. It solves problems related to window management, system administration, and hardware control, providing a convenient interface for AI assistants to inspect and control system components. It accepts natural language inputs and outputs system responses and execution results.

Canonical page: https://skillsregistry.net/skills/oki3505f-arch-niri-mcp  
JSON: https://api.skillsregistry.net/v1/skills/oki3505f-arch-niri-mcp

## Description

Enables AI assistants to inspect, control, and automate Arch Linux/CachyOS and the Niri Desktop Environment through natural language, featuring tools for window management, system administration, package queries, and hardware control.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** iot-hardware
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/gf8bpd0ojl)
- **Repository:** <https://github.com/oki3505F/arch-niri-mcp>

## 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": "oki3505f-arch-niri-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/oki3505f-arch-niri-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/oki3505f-arch-niri-mcp/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
