# ahk-mcp

> Use this tool when you need to control Windows systems efficiently and reduce token costs. It enables AI agents to interact with Windows using AutoHotkey v2 and UI Automation, providing tools for window management, keystrokes, and UI inspection. Ideal for text-based computer interaction, ahk-mcp offers a cost-effective alternative to screenshot-based approaches.

Canonical page: https://skillsregistry.net/skills/anomalous3-ahk-mcp  
JSON: https://api.skillsregistry.net/v1/skills/anomalous3-ahk-mcp

## Description

Enables AI agents to control Windows systems using AutoHotkey v2 and the UI Automation accessibility tree for efficient, text-based computer interaction. It provides tools for window management, keystrokes, and UI inspection while significantly reducing token costs compared to screenshot-based approaches.

## 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:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/e15iatyi1n)
- **Repository:** <https://github.com/anomalous3/ahk-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": "anomalous3-ahk-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/anomalous3-ahk-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/anomalous3-ahk-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