# Mozark MCP Server

> Mozark MCP Server — ai-mozark-mcp. Use this tool when you need to automate testing and quality assurance for AI-powered apps, requiring device access and test automation capabilities. It solves problems related to inefficient manual testing and limited device availability, providing valuable QA insights as output. Ideal for use in development and testing contexts where automated testing and device management are crucial.

Canonical page: https://skillsregistry.net/skills/ai-mozark-mcp  
JSON: https://api.skillsregistry.net/v1/skills/ai-mozark-mcp

## Description

Mozark's MCP server for AI-powered app testing: device access, test automation, and QA insights.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Updated:** 2026-09-17

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.mozark%2Fmcp)

## Use it

MCP endpoint published by the skill: `https://mcp.mozark.ai`

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": "ai-mozark-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ai-mozark-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ai-mozark-mcp/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