# i3wm-mcp

> i3wm-mcp — caninja-i3wm-mcp. Use this tool when you need to manage your i3wm environment through conversational commands, solving issues with window and workspace organization. It takes natural language inputs and outputs changes to your i3wm setup, including window placement, workspace switching, and layout adjustments. Ideal for streamlining your workflow and customizing your desktop experience with ease.

Canonical page: https://skillsregistry.net/skills/caninja-i3wm-mcp  
JSON: https://api.skillsregistry.net/v1/skills/caninja-i3wm-mcp

## Description

MCP for i3wm - manage windows, workspaces, layouts, gaps, and more through natural conversation.

## Trust

- **Trust score (0–1):** 0.98
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/caninja/i3wm-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": "caninja-i3wm-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/caninja-i3wm-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/caninja-i3wm-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