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AI-powered app test automation for iOS, Android, Flutter, React Native, Web
AI-powered app test automation for iOS, Android, Flutter, React Native, Web
Valid MCP server (2 strong, 4 medium validity signals). 4 known CVEs in dependencies (0 critical, 3 high severity) Package registry verified. Imported from the Official MCP Registry. Trust signals: trusted author (5/5 approved).
4 files analyzed · 5 issues found
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Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-muse-code-space-test-genie": {
"args": [
"-y",
"test-genie-mcp"
],
"command": "npx"
}
}
}From the project's GitHub README.
AI-powered App Test Automation MCP Server
Multi-platform test automation for iOS, Android, Flutter, React Native, and Web applications.
Test Genie MCP is an AI-powered MCP server for automated app testing. It provides a complete test pipeline from scenario generation to test execution, issue detection, fix suggestions, and automated fixes.
| Platform | Languages | Test Frameworks |
|---|---|---|
| iOS | Swift, Objective-C | XCTest, XCUITest, Instruments |
| Android | Kotlin, Java | Espresso, UI Automator, Android Profiler |
| Flutter | Dart | flutter_test, integration_test, Golden Tests |
| React Native | TypeScript, JavaScript | Jest, Detox, RNTL |
| Web | TypeScript, JavaScript | Playwright, Cypress, Lighthouse |
| Category | Tools |
|---|---|
| Analysis | analyze_app_structure, analyze_code_deep, analyze_performance |
| Scenario | generate_scenarios, create_test_plan |
| Execution | run_scenario_test, run_simulation, run_stress_test |
| Detection | detect_memory_leaks, detect_logic_errors |
| Fixing | suggest_fixes, confirm_fix, apply_fix, rollback_fix |
| Automation | run_full_automation, generate_report, generate_cicd_config |
| Management | get_pending_fixes, get_test_history |
Analysis & Scenario Generation
analyze_app_structure - Analyze codebase structure (screens, components, APIs, state)analyze_code_deep - AST-based code analysis (complexity, hooks, dependencies)analyze_performance - Deep performance analysis (rendering, computation, network, bundle)generate_scenarios - AI-powered test scenario generationcreate_test_plan - Create test plans and schedulesTest Execution
run_scenario_test - Execute individual scenario testsrun_simulation - User behavior simulation (random/pattern-based)run_stress_test - Stress and load testingIssue Detection
detect_memory_leaks - Memory leak detection (heap analysis, circular references)detect_logic_errors - Logic error detection (race conditions, state inconsistencies)Fix Suggestions & Application
suggest_fixes - AI-powered fix suggestionsconfirm_fix - User confirmation for fixesapply_fix - Apply confirmed fixesrollback_fix - Rollback applied fixesAutomation & CI/CD
run_full_automation - Run complete pipeline automaticallygenerate_report - Generate detailed reports (Markdown, HTML, JSON)generate_cicd_config - Generate CI/CD configs (GitHub Actions, Jenkins, GitLab CI)Management
get_pending_fixes - Get list of pending fix suggestionsget_test_history - Get test execution historynpm install -g test-genie-mcp
Or install from source:
git clone https://github.com/MUSE-CODE-SPACE/test-genie-mcp.git
cd test-genie-mcp
npm install
npm run build
Add to Claude Desktop config (~/.config/claude/claude_desktop_config.json):
{
"mcpServers": {
"test-genie": {
"command": "npx",
"args": ["test-genie-mcp"]
}
}
}
Or use Claude CLI:
claude mcp add test-genie-mcp npx test-genie-mcp
User: "Run automated tests"
Claude will:
1. Analyze your app structure
2. Generate test scenarios
3. Execute tests
4. Detect issues (memory leaks, logic errors)
5. Suggest fixes
6. Wait for your confirmation
7. Apply approved fixes
8. Generate report
# Analyze app
analyze_app_structure(projectPath: "/path/to/app")
# Generate scenarios
generate_scenarios(projectPath: "/path/to/app", testTypes: ["e2e", "unit"])
# Detect memory leaks
detect_memory_leaks(projectPath: "/path/to/app")
# Get fix suggestions
suggest_fixes(projectPath: "/path/to/app")
# Confirm and apply fix
confirm_fix(fixId: "xxx", action: "approve")
apply_fix(fixId: "xxx")
When issues are detected, Test Genie will:
Test Genie MCP는 AI 기반 앱 테스트 자동화 MCP 서버입니다. 시나리오 생성부터 테스트 실행, 문제 검출, 수정 제안 및 적용까지 전체 테스트 파이프라인을 자동화합니다.
| 플랫폼 | 언어 | 테스트 프레임워크 |
|---|---|---|
| iOS | Swift, Objective-C | XCTest, XCUITest, Instruments |
| Android | Kotlin, Java | Espresso, UI Automator, Android Profiler |
| Flutter | Dart | flutter_test, integration_test, Golden Tests |
| React Native | TypeScript, JavaScript | Jest, Detox, RNTL |
| Web | TypeScript, JavaScript | Playwright, Cypress, Lighthouse |
| 카테고리 | 도구 |
|---|---|
| 분석 | analyze_app_structure, analyze_code_deep, analyze_performance |
| 시나리오 | generate_scenarios, create_test_plan |
| 실행 | run_scenario_test, run_simulation, run_stress_test |
| 탐지 | detect_memory_leaks, detect_logic_errors |
| 수정 | suggest_fixes, confirm_fix, apply_fix, rollback_fix |
| 자동화 | run_full_automation, generate_report, generate_cicd_config |
| 관리 | get_pending_fixes, get_test_history |
분석 & 시나리오 생성
analyze_app_structure - 앱 코드베이스 분석 (화면, 컴포넌트, API, 상태관리)analyze_code_deep - AST 기반 코드 분석 (복잡도, 훅, 의존성)analyze_performance - 성능 심층 분석 (렌더링, 연산, 네트워크, 번들)generate_scenarios - AI 기반 테스트 시나리오 자동 생성create_test_plan - 테스트 계획 수립 및 스케줄링테스트 실행
run_scenario_test - 개별 시나리오 테스트 실행run_simulation - 사용자 행동 시뮬레이션 (랜덤/패턴 기반)run_stress_test - 스트레스/부하 테스트이슈 검출
detect_memory_leaks - 메모리 릭 감지 (힙 분석, 순환 참조)detect_logic_errors - 논리적 오류 검출 (레이스 컨디션, 상태 불일치)수정 제안 & 적용
suggest_fixes - AI 기반 수정 방안 제안confirm_fix - 수정 사항 사용자 확인apply_fix - 확인된 수정 사항 적용rollback_fix - 적용된 수정 롤백자동화 & CI/CD
run_full_automation - 전체 파이프라인 자동 실행generate_report - 상세 보고서 생성 (Markdown, HTML, JSON)generate_cicd_config - CI/CD 설정 자동 생성 (GitHub Actions, Jenkins, GitLab CI)관리
get_pending_fixes - 대기 중인 수정 제안 목록 조회get_test_history - 테스트 실행 이력 조회npm install -g test-genie-mcp
또는 소스에서 설치:
git clone https://github.com/MUSE-CODE-SPACE/test-genie-mcp.git
cd test-genie-mcp
npm install
npm run build
Claude Desktop 설정 파일 (~/.config/claude/claude_desktop_config.json)에 추가:
{
"mcpServers": {
"test-genie": {
"command": "npx",
"args": ["test-genie-mcp"]
}
}
}
또는 Claude CLI 사용:
claude mcp add test-genie-mcp npx test-genie-mcp
User: "자동화 테스트해줘"
Claude가 수행:
1. 앱 구조 분석
2. 테스트 시나리오 생성
3. 테스트 실행
4. 문제 검출 (메모리 릭, 로직 오류)
5. 수정 제안
6. 사용자 확인 대기
7. 승인된 수정 적용
8. 보고서 생성
문제가 검출되면 Test Genie가:
MIT
Yoonkyoung Gong
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