specterqa-ios 9.0.0

SpecterQA iOS Simulator Driver — AI-driven iOS testing via Claude Computer Use

SpecterQA iOS Simulator Driver

AI-driven iOS app testing via Claude Computer Use.

Install

pip install "git+https://github.com/SyncTek-LLC/specterqa-ios.git"

No other packages required — specterqa-ios is fully standalone.

Quick Start

# Verify environment (Xcode, simulators, API key)
specterqa-ios setup

# List available simulators
specterqa-ios devices

# Scaffold a project for your app
specterqa-ios init --slug my-app --name "My App"

# Edit the generated config
# .specterqa/products/my-app.yaml  — set bundle_id and app_path
# .specterqa/journeys/smoke-test.yaml  — customize test steps

# Validate your config before running
specterqa-ios validate --product my-app --journey smoke-test

# Boot a simulator
specterqa-ios boot

# Run a test journey
specterqa-ios run --product my-app --journey smoke-test

# Quick smoke test (reduced budget, fewer iterations)
specterqa-ios smoke --product my-app

Commands

Command	Description
specterqa-ios setup	Check Xcode, simulators, and API key
specterqa-ios devices	List available iOS simulators
specterqa-ios boot [--device <name>]	Boot a simulator
specterqa-ios install <app.app> [--device <id>]	Install app on simulator
specterqa-ios init [--slug <id>]	Scaffold project config files
specterqa-ios validate --product <slug>	Validate product/journey config
specterqa-ios run --product <slug> --journey <id>	Run a test journey
specterqa-ios smoke --product <slug>	Quick smoke test
specterqa-ios serve	Start the MCP server (stdio transport)

Claude Code Integration

SpecterQA iOS ships as a Model Context Protocol (MCP) server, letting Claude Code drive iOS simulator tests directly from your editor.

Install with MCP extras

pip install 'specterqa-ios[mcp]'

Add to Claude Code

Add the server to your Claude Code MCP configuration. The specterqa-ios-mcp console script is registered by pip install and starts the stdio server automatically.

Option A — project-level (.claude/mcp.json in your repo root):

{
  "mcpServers": {
    "specterqa-ios": {
      "command": "specterqa-ios-mcp",
      "env": {
        "SPECTERQA_IOS_LICENSE": "founder"
      }
    }
  }
}

Option B — global (add to ~/.claude/mcp.json or via claude mcp add):

claude mcp add specterqa-ios -- specterqa-ios-mcp

Set ANTHROPIC_API_KEY in the environment (or in the env block above).

Available MCP Tools

Once connected, Claude Code can call these tools:

Tool	Description
ios_setup	Check environment (Xcode, simulators, API key)
ios_list_devices	List available iOS simulators
ios_boot_device	Boot a simulator by name or UDID
ios_install_app	Install a .app bundle on a simulator
ios_run_test	Run a full test journey (primary tool)
ios_run_smoke	Quick smoke test (reduced budget)
ios_run_exploratory	Persona-driven AI exploration
ios_get_results	Retrieve results from a previous run
ios_screenshot	Screenshot the current simulator state
ios_list_products	List configured products
ios_list_journeys	List configured journeys

Example Claude Code session

> Run a smoke test on the Palace iOS app

[Claude calls ios_list_products, discovers palace-ios]
[Claude calls ios_boot_device, boots iPhone 15 Pro]
[Claude calls ios_run_smoke with product_slug="palace-ios"]
[Returns: 4/4 steps passed, 0 findings, $0.32 spent]

Alternative: direct invocation

# stdio transport (for custom MCP clients)
specterqa-ios-mcp

# or via Python module
python -m specterqa.ios.mcp

# or via CLI
specterqa-ios serve

Requirements

• macOS with Xcode 15+
• Python 3.10+
• ANTHROPIC_API_KEY environment variable

export ANTHROPIC_API_KEY=sk-ant-...

Project Structure

After specterqa-ios init, your project contains:

.specterqa/
  products/
    my-app.yaml         # bundle_id, device, cost limits
  personas/
    ios-tester.yaml     # AI persona (goals, frustrations, credentials)
  journeys/
    smoke-test.yaml     # test steps with goals and checkpoints
  evidence/
    IOS-RUN-*/          # screenshots, step results, run-result.json

How It Works

1. Each journey step has a goal — a natural-language instruction for Claude
2. The AI takes a screenshot of the simulator, observes the UI context, and decides the next action (tap, type, scroll, wait)
3. Actions are executed via xcrun simctl and Quartz event injection
4. Crashes, error logs, and performance anomalies are surfaced as Findings
5. All evidence (screenshots, step summaries, findings) is saved to .specterqa/evidence/

License

Elastic License 2.0 — see LICENSE.