# WinWright

> Use this tool when you need to automate Windows desktop and browser interactions, such as controlling WPF, WinForms, and Win32 apps, as well as Chrome and Edge browsers. It solves problems related to UI automation, testing, and integration with AI agents like Claude, providing a unified automation layer for native Windows UI and web interfaces. With 59 tools at its disposal, WinWright accepts inputs via the Model Context Protocol and outputs automated interactions with various Windows applications and browsers.

Canonical page: https://skillsregistry.net/skills/civyk-official-win-wright  
JSON: https://api.skillsregistry.net/v1/skills/civyk-official-win-wright

## Description

civyk-winwright is a Playwright-style MCP server for Windows desktop and browser automation. It provides 59 tools for controlling WPF, WinForms, Win32 apps, and Chrome/Edge via the Model Context Protocol. A unified automation layer connecting Claude and MCP-compatible agents to native Windows UI and web interfaces.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-05-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/tmmzxzkjja)
- **Repository:** <https://github.com/civyk-official/civyk-winwright>

## 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": "civyk-official-win-wright"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/civyk-official-win-wright` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/civyk-official-win-wright/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