# Desktop UI Test Utils

> Use this tool when you need to automate interactions with Windows desktop applications, such as filling out forms or testing UI elements. The Desktop UI Test Utils provides a single-binary solution for AI agents to access the screen, manage windows, and simulate user input, solving problems in automated QA, accessibility auditing, and visual regression testing. It accepts input commands and outputs screenshots, OCR results, and UI element data, making it ideal for use cases requiring direct desktop automation.

Canonical page: https://skillsregistry.net/skills/jeenyjai-desktop-ui-test-utils  
JSON: https://api.skillsregistry.net/v1/skills/jeenyjai-desktop-ui-test-utils

## Description

Single-binary Windows desktop automation server that gives AI agents direct access to the screen. Provides 16 tools spanning vision (screenshots with configurable quality presets, OCR via Windows.Media.Ocr), window management, full mouse and keyboard input including Unicode text, and structured UI element access through the Windows UI Automation API. Designed for automated QA flows, desktop form filling, accessibility auditing, and visual regression testing. Requires no runtime, dependencies, or installation beyond placing the executable.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/jeenyjai-desktop-ui-test-utils)
- **Repository:** <https://github.com/jeenyjai/mcp-test-utils>

## 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": "jeenyjai-desktop-ui-test-utils"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jeenyjai-desktop-ui-test-utils` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jeenyjai-desktop-ui-test-utils/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