# UIAutomationMcp

> UIAutomationMcp — trsdn-mcp-server-uiautomation. Use this tool when you need to automate interactions with Windows desktop UI elements, such as inspecting, searching, and navigating through UI components. It solves problems like automating repetitive tasks, testing UI applications, and integrating with other tools through its CLI and VS Code extension interfaces. With inputs like UI element identifiers and outputs like interaction results, use UIAutomationMcp to streamline UI automation tasks in Windows environments.

Canonical page: https://skillsregistry.net/skills/trsdn-mcp-server-uiautomation  
JSON: https://api.skillsregistry.net/v1/skills/trsdn-mcp-server-uiautomation

## Description

Enables Windows UI Automation through MCP, allowing agents to inspect, search, navigate, and interact with desktop UI elements via the UIAutomation framework. Supports actions such as focus, invoke, set-value, toggle, and event waiting, with CLI and VS Code extension variants.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-04

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ydh47tjfrd)
- **Repository:** <https://github.com/trsdn/mcp-server-uiautomation>

## 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": "trsdn-mcp-server-uiautomation"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/trsdn-mcp-server-uiautomation` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/trsdn-mcp-server-uiautomation/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
