# Desktop Automation

> Use this tool when you need to automate interactions with Windows desktop applications, such as data entry tasks or GUI testing workflows. It provides comprehensive desktop control through UI Automation APIs, allowing for window management, element finding, and mouse and keyboard automation. Ideal for automating repetitive tasks, this tool accepts inputs like text content and hotkeys, and outputs automated interactions with desktop applications.

Canonical page: https://skillsregistry.net/skills/dlanz1-desktop-automation  
JSON: https://api.skillsregistry.net/v1/skills/dlanz1-desktop-automation

## Description

A Windows desktop automation MCP server that uses UI Automation APIs instead of screenshots to interact with desktop applications. Provides comprehensive desktop control including window management, smart element finding by text content, mouse and keyboard automation, and hotkey support. Ideal for automating Windows applications, data entry tasks, and GUI testing workflows.

## 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:** productivity
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/dlanz1-desktop-automation)
- **Repository:** <https://github.com/dlanz1/desktop-mcp-server>

## 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": "dlanz1-desktop-automation"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dlanz1-desktop-automation` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dlanz1-desktop-automation/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