# Appium

> Use this tool when you need to automate testing of mobile applications on Android and iOS platforms, solving problems such as manual testing inefficiencies and cross-platform compatibility issues. It takes natural language descriptions as input and generates automated test code as output, interacting with elements and managing sessions through UiAutomator2 and XCUITest. Ideal for use cases requiring comprehensive mobile automation capabilities, such as element discovery and screen navigation.

Canonical page: https://skillsregistry.net/skills/appium  
JSON: https://api.skillsregistry.net/v1/skills/appium

## Description

Provides comprehensive mobile automation capabilities for testing native, mobile-web, and hybrid applications on Android and iOS platforms. Enables AI assistants to perform element discovery and interaction, session management, screen navigation, app launching, and automated test code generation from natural language descriptions. Supports both UiAutomator2 for Android and XCUITest for iOS with intelligent locator strategies and page object model templates.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-05-27

## Source

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

## 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": "appium"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/appium` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/appium/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