test-genie-mcp

Built for vibe coders: one command, get a prioritized list of what's actually broken about your project.

Self-healing test automation for iOS, Android, Flutter, React Native and Web apps — as an MCP server.

v3.1.1 — vibe-check + honest auto-fix. One MCP call, ~30 seconds: race conditions + security issues + memory leaks + logic errors + perf smells, prioritized. Stays on your machine, no telemetry. Pass autoFix: true for the small, safe mechanical fixes (weak-hash, simple Math.random assignment) — backup + syntax-validate + rollback-on-syntax-fail. For test-verified application of harder fixes, use v3.0.0's iterate-fix loop.

Vibe coders quickstart

You don't read the docs. You open the project, talk to Claude, and want a verdict. Here it is:

In Claude (with test-genie-mcp installed — setup):

/vibe-check /Users/me/my-app

Claude calls diagnose_project under the hood. ~30 seconds later you see:

# vibe-check report

- Project: /Users/me/my-app
- Platform: web
- Findings: 11 total — 4 critical, 4 high, 1 medium, 1 low
- Estimated fix time: ~85 min

## Top 5 issues

### 1. [CRIT] Hardcoded AWS access key id found in source
- File: `server.js:7`
- Category: security / secret (CWE-798)
- Confidence: 95%
- Fix: Move the value to an env var, gitignore the config, rotate the leaked key.

### 2. [CRIT] SQL string built by concatenating user input
- File: `server.js:21`
- Category: security / injection (CWE-89)
- Fix: Use parameterized queries (`db.query("... WHERE id = ?", [id])`).

### 3. [HIGH] useState setter called after await without mount guard
- File: `UserProfile.tsx:16`
- Category: race-condition / react-setstate-after-await (CWE-362)
- Confidence: 78%
- Fix: Use AbortController and check signal.aborted before calling setters.

… (top 5 shown — full list at output: "detailed")

## Next steps
1. Address the critical / high findings above.
2. Re-run diagnose_project after fixing to confirm convergence.
3. Use run_iterative_fix_loop for test-driven verification of each fix.

If any finding is autoFixable: true and is at high/critical severity, the diagnose_project call accepts autoFix: true to apply the mechanical replacement directly (with backup + syntax validation — see SAFETY.md for the exact guards). The v3.1.1 honest scope is narrow: weak hash (createHash('md5'|'sha1') → createHash('sha256')) and standalone Math.random() in security-sensitive files. For broader/structural fixes (race conditions, eval, exec injection) run run_iterative_fix_loop separately — it re-runs tests and auto-rolls-back on regression.

Related MCP server: AWT (AI Watch Tester)

Why test-genie?

The bottleneck in mobile + cross-platform test automation isn't writing tests — it's the loop between a failing test and a passing test. test-genie closes that loop:

failing test → analyzer flags issue → fix proposed → dry-run + syntax check →
applied with backup → affected tests re-run → regression check → loop or stop

This full loop is the run_iterative_fix_loop tool. The diagnose_project autoFix: true path in v3.1.1 covers a strict subset — backup + dry-run + syntax-validate + apply, without re-running tests (so no test-regression rollback in that path). Use the right tool for the job — and see SAFETY.md for the exact guards on each.

Other tools (Detox, Maestro, Playwright, xcodebuild test) run tests. test-genie runs tests and drives the fix until the bar is met or it can no longer make progress — without you scrubbing through stack traces.

5-minute Quickstart

# 1. Install
npm install -g test-genie-mcp

# 2. Add to Claude Desktop config (~/.config/claude/claude_desktop_config.json)
{
  "mcpServers": {
    "test-genie": {
      "command": "npx",
      "args": ["test-genie-mcp"],
      "env": {
        "TEST_GENIE_ALLOWED_ROOT": "/path/to/your/project"
      }
    }
  }
}

# 3. Restart Claude Desktop. From a chat:
#    "Run the iterate-fix loop on /Users/me/my-rn-app with autoApply=false"

Expected output (truncated):

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Iterative fix loop f8b3… — PAUSED-FOR-CONFIRMATION
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

Iterations completed: 1
Fixes applied:        0
Regressions rolled back: 0
Final tests:          7/10 passing (3 failing)

Pending confirmations (3):
  - 71fbe…: Fix: useEffect missing cleanup for setInterval (confidence: 85)
  - 92ad1…: Fix: Force-unwrap on possibly-undefined name (confidence: 85)
  - …

Resume token: f8b3…

Re-call with autoApply: true (or resumeToken: "f8b3…") to actually patch the files.

Real use cases

The flows below describe the run_iterative_fix_loop path (v3.0 headline) — full detect → propose → dry-run → apply-with-backup → re-run-tests → rollback-on-regression. The diagnose_project autoFix path in v3.1.1 is the narrower mechanical-replacement-only path; see SAFETY.md §4 for what that one actually touches.

1. React Native memory-leak self-healing

A team adds setInterval(...) in a useEffect and forgets cleanup. test-genie's detect_memory_leaks flags it, suggest_fixes proposes return () => clearInterval(id) (src/tools/fixing/suggestFixes.ts:169-179), the loop dry-runs the patch through the TS compiler, applies with backup, re-runs only the affected snapshot test, confirms 100% pass, stops. Before: 1 failing snapshot. After: 0 failing, 1 fix applied, 1 backup at .test-genie-backups/.

2. Flutter widget dispose() automation

AnimationController left undisposed. test-genie sees the missing dispose() override, generates a Dart @override dispose() { controller.dispose(); super.dispose(); } block (suggestFixes.ts:214-217), runs dart analyze on the patched file, applies, re-runs flutter test, converges.

3. iOS retain-cycle (closure capture)

self.timer = Timer.scheduledTimer(...) { _ in self.tick() } — rule-based detector flags closure self-capture, fixer rewrites to [weak self] _ in guard let self = self else { return }; self.tick() (suggestFixes.ts:239-242). If swiftc is on PATH the syntax check is real; otherwise test-genie reports "downgraded validation" so you know.

How the iterate-fix loop works

┌────────────────────┐
│   collect tests    │  (run_scenario_test / supplied list)
└─────────┬──────────┘
          │
   pass-rate ≥ threshold? ── yes ──▶  SUCCESS
          │ no
          ▼
┌────────────────────┐
│  detect issues     │   memory + logic analyzers
└─────────┬──────────┘
          │
┌────────────────────┐
│  suggest fixes     │   rule-based (default) → LLM (hybrid, optional)
└─────────┬──────────┘
          │
┌────────────────────┐
│  dry-run + syntax  │   TS compiler API / platform compiler / brace check
└─────────┬──────────┘
          │
┌────────────────────┐
│  apply with backup │   per-file `.test-genie-backups/`
└─────────┬──────────┘
          │
┌────────────────────┐
│  re-run tests      │   regression?  yes → auto-rollback
└─────────┬──────────┘
          │
          ▼
   loop (≤ maxIterations, ≤ totalTimeout)

See docs/ITERATE_FIX_LOOP.md for a sequence diagram and the full safety-guard list.

Tools (23)

mode legend in docs/SIMULATION_VS_REAL.md.

Plus 4 resources (test-genie://iteration-logs, …/test-history/{path}, …/iteration-logs/{loopId}, …/applied-fixes/{path}) and 3 prompts (full-test-pipeline, diagnose-failure, vibe-check).

What vibe-check catches

Race conditions (detect_race_conditions / diagnose_project):

v3.1.1 honesty audit: useEffect-no-abort and forEach-await were previously advertised as auto-fixable. They are not — wrapping with AbortController or rewriting to Promise.all(arr.map(...)) changes behavior we can't verify statically. They are now report-only. See SAFETY.md.

Security (detect_security_issues / diagnose_project):

v3.1.1 honesty audit: .env/Math.random (general)/yaml.load were previously advertised as auto-fixable. They were either too risky to rewrite blindly or no strategy shipped — flipped to report-only. See SAFETY.md §5.

What vibe-check misses (honest list)

This is a "catch the obvious stuff in 30s" filter, not Snyk / Semgrep / a full SAST tool. We don't catch:

• Cross-file data-flow. If user input flows through three files before reaching a db.query, the regex won't connect the dots. A real SAST traces taint across the call graph. Roadmap: ts-morph reference walking for top-N entry points.

• Vulnerable transitive deps. We don't query npm advisories — that's npm audit's job, and bundling a stale advisory list would lie. Run npm audit --json in parallel if you want dep-CVE coverage.

• Race conditions across processes. We catch in-process JS / Swift / Kotlin / Go races. Distributed races (lock ordering across services, DB transactions) need different tooling.

• Type-correct but logic-broken code. The analyzer is syntactic, not semantic. A Math.random() named getNonce won't fool us; a properly-named crypto.randomBytes used with a tiny entropy budget will.

• Custom secret formats. Internal company tokens with unique prefixes need a regex you can add to securityAnalyzer.SECRET_PATTERNS. PR welcome.

• Real-time / dynamic issues. Memory leaks under load, network timeouts, slow renders mid-interaction — those need run_stress_test / run_simulation, not static analysis.

If you want deeper coverage on top of vibe-check: feed the findings into run_iterative_fix_loop for test-verified application, or escalate to Snyk / Semgrep / GitHub Advanced Security for compliance use cases.

vibe-check vs alternatives

If your goal is "before I commit, what's broken?", vibe-check wins on latency. If your goal is "compliance + supply chain audit", use the dedicated tools.

When NOT to use test-genie

• Production-gate test runs. test-genie is built for the development feedback loop. For shipping decisions, use a proper CI that you control end-to-end.

• Code your team must hand-review every line of. The loop's job is to propose and apply fixes; if every fix needs a human eye, leave autoApply: false (the default) and use it as a fix-proposal generator only.

• No backup / no version control situations. test-genie's auto-rollback is best-effort and requires the per-file backup to exist. Always run inside a git working tree.

Comparison

Scope note: diagnose_project autoFix: true rolls back on syntax-validate failure (applyFix.ts:185-202) but does not re-run tests, so it cannot detect test regressions. For test-driven rollback use run_iterative_fix_loop. See SAFETY.md §2.4.

test-genie uses tools like Jest, Detox, and xcodebuild test under the hood — it sits at the orchestration layer, not the test-runner layer.

Known limitations

• Platform syntax check downgrade. For Swift/Kotlin/Java/Dart we try the platform compiler in -typecheck mode. If the compiler isn't on PATH, we fall back to brace-balance validation and surface downgraded: true in the result. Install swiftc / kotlinc / javac / dart for real validation.

• LLM is optional and gated. strategy: 'hybrid' only kicks LLM in when rule-based confidence is below threshold. Without an API key the loop is rule-based-only — no failure.

• Storage is per-machine. Test history / iteration logs live under $TEST_GENIE_STORAGE_DIR (defaults to ~/.test-genie-mcp). Not synced across machines.

• Simulated mode is "simulation," not magic. run_simulation returns plausible anomalies, not real ones. Use run_scenario_test (hybrid) for real-device runs.

Configuration

Migrating from v2.x

• run_full_automation still works. The confirmMode / autoFix options are kept for compatibility but autoApply: boolean is the new way — autoApply: true is equivalent to confirmMode: 'auto'.

• Subprocess hardening means platform tools now reject scheme / device / package-name arguments that contain shell metacharacters. If your CI was passing weird-looking values, sanitize them first.

• See CHANGELOG.md for the full breaking-change list + migration recipes.

Roadmap

• LLM-based fix-proposal voting (multiple proposals → pick the best by syntax + retest delta)

• Multi-repo sync (run the loop across N repos in parallel from one MCP call)

• A "watch mode" that runs the loop on file save

• Better Detox / Maestro artifact ingestion (link videos into iteration logs)

Contributing

Issues, PRs, and ideas welcome — see CONTRIBUTING.md (TODO). Code lives under src/, tests under tests/. Run npm test before sending a PR.

Maintainer

@MUSE-CODE-SPACE — Yoonkyoung Gong.

License

MIT — see LICENSE.