# MCP Tauri Automation

> Use this tool when you need to automate testing of Tauri desktop applications with ease, as it enables AI-driven interaction with UI elements and execution of commands through natural language. It solves problems of manual testing and scripting, allowing for efficient capture of screenshots and testing of application flows. Ideal for use cases where automation of desktop application testing is required, with inputs including natural language commands and outputs including test results and screenshots.

Canonical page: https://skillsregistry.net/skills/radek44-mcp-tauri-automation  
JSON: https://api.skillsregistry.net/v1/skills/radek44-mcp-tauri-automation

## Description

Enables AI-driven testing and automation of Tauri desktop applications through natural language, allowing users to interact with UI elements, capture screenshots, execute commands, and test application flows without manual clicking or complex scripts.

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/aiw0v7i2yu)
- **Repository:** <https://github.com/Radek44/mcp-tauri-automation>

## 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": "radek44-mcp-tauri-automation"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/radek44-mcp-tauri-automation` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/radek44-mcp-tauri-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