# Quash — Mobile App Automation

> Use this tool when you need to automate mobile app testing and interactions on Android and iOS devices, solving problems such as repetitive testing and quality assurance tasks. Quash takes input from your AI agent and outputs automated interactions on locally connected mobile devices. It is ideal for use cases where automated mobile app testing is required, streamlining the testing process and increasing efficiency.

Canonical page: https://skillsregistry.net/skills/io-github-abhinav-sai-quash-quash-mcp  
JSON: https://api.skillsregistry.net/v1/skills/io-github-abhinav-sai-quash-quash-mcp

## Description

Drive Android & iOS mobile-app automation from your AI agent on locally connected devices.

## Trust

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

## Facts

- **Version:** 1.1.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-06-22

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.Abhinav-Sai-Quash%2Fquash-mcp)
- **Repository:** <https://github.com/Oscorp-HQ/quash-mcp-releases>

## 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": "io-github-abhinav-sai-quash-quash-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-abhinav-sai-quash-quash-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-abhinav-sai-quash-quash-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