# RunCue

> Use this tool when you need to automate iOS app UI testing and verification using natural language tasks. RunCue enables coding agents to navigate and inspect UI elements, run UI flows, and check UI state, solving problems related to UI testing and validation. It accepts natural language inputs and outputs verification results, making it ideal for use cases involving automated UI testing and debugging of iOS apps.

Canonical page: https://skillsregistry.net/skills/lihei12345-runcue  
JSON: https://api.skillsregistry.net/v1/skills/lihei12345-runcue

## Description

RunCue MCP enables coding agents to navigate, inspect, and verify iOS app UI using natural language tasks via WebDriverAgent. It provides tools for running UI flows, checking UI state, listing devices, and diagnosing WDA setup.

## Trust

- **Trust score (0–1):** 0.77
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/dq68n7lmeq)
- **Repository:** <https://github.com/lihei12345/RunCue>

## 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": "lihei12345-runcue"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/lihei12345-runcue` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/lihei12345-runcue/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