I
io.github.ksgisang/awt
AI-powered E2E testing MCP server. Detects and auto-fixes UI bugs via DevQA Loop and Vision AI.
UnknownNot tested
15FNo CVEsunknown
Quick Install
{
"mcpServers": {
"io-github-ksgisang-awt": {
"command": "<see-readme>",
"args": []
}
}
}No install config available. Check the server's README for setup instructions.
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Should you use this server?
AI-powered E2E testing MCP server. Detects and auto-fixes UI bugs via DevQA Loop and Vision AI.
✓
Is it safe?
No package registry to scan.
No authentication — any process on your machine can connect.
License not specified.
~
Is it maintained?
Commit history unknown.
i
Will it work with my client?
Transport: stdio. Works with Claude Desktop, Cursor, Claude Code, and most MCP clients.
README
AWT — Eyes and Hands for Your AI Coding Tool
Your AI coding tool is smart. But it can't see or click a web page. AWT gives it a real browser — so it can test, find bugs, and fix them without you lifting a finger.
Works without AI API — write YAML scenarios manually and run
aat run. No API key needed. AI coding tools make it easier, but are not required.
What is AWT?
AWT is the execution engine for AI-powered E2E testing. Your AI coding tool designs the tests; AWT runs them in a real browser with Playwright.
How it works in Skill Mode (no extra AI API key needed):
You: "Test the login flow on https://mysite.com"
Your AI coding tool:
→ Writes 5 YAML scenarios (30 steps)
→ Runs: aat run scenarios/
→ Reads failure: "Step 4: Dashboard text not visible"
→ Reads screenshot + source code
→ Fixes src/pages/login.js:23
→ Re-runs: aat run scenarios/
→ All 5 scenarios pass ✓
Key capabilities:
- Execute tests in a real browser with human-like mouse/keyboard interaction
- See — take screenshots, detect elements via OCR and image matching
- Report — step-by-step pass/fail with error details and screenshots
- Self-heal (CLI mode) —
aat loopauto-fixes failures with its own AI - Learn — successful matches stored in SQLite, getting faster over time
Installation
One-line install (recommended)
npx skills add ksgisang/awt-skill --skill awt -g
Manual Installation
git clone https://github.com/ksgisang/awt-skill.git /tmp/awt-skill
cp -r /tmp/awt-skill/awt ~/.claude/skills/awt
rm -rf /tmp/awt-skill
Per-Project Installation
git clone https://github.com/ksgisang/awt-skill.git /tmp/awt-skill
cp -r /tmp/awt-skill/awt .claude/skills/awt
rm -rf /tmp/awt-skill
After installation, the skill auto-triggers on testing-related prompts.
Updating
# Re-run the same install command to get the latest version
npx skills add ksgisang/awt-skill --skill awt -g -y
For manual installations: cd ~/.claude/skills/awt && git pull
Comparison with Other Testing Skills
| Feature | webapp-testing | playwright-skill | AWT |
|---|---|---|---|
| Scenario format | Python scripts | Python scripts | Declarative YAML |
| No-code test creation | No | No | Yes |
| Natural language → test | No | No | Yes |
| Self-healing loop | No | No | Yes (DevQA Loop) |
| Auto-fix on failure | No | No | Yes (AI → PR) |
| Visual matching (OpenCV + OCR) | No | No | Yes (OpenCV + OCR) |
| Pattern learning | No | No | Yes (SQLite) |
| Server lifecycle mgmt | Yes | Yes | Yes (aat dashboard) |
| Multiple AI providers | No | No | Yes (5 providers) |
| Human-like interaction | No | No | Yes (Bezier mouse) |
| Approval modes | No | No | Yes (manual/branch/auto) |
| Cost optimization | N/A | N/A | $0.02–0.05/test |
| Live screenshots | No | Screenshot only | Yes (WebSocket stream) |
| Multi-language OCR | No | No | Yes (10+ languages) |
| Offline support | No | No | Yes (Ollama) |
| Cost tracking | No | No | Yes (per-call logging + aat cost) |
| Source code analysis | No | No | Yes (Skill-exclusive) |
| Scenario caching | No | No | Yes (same spec = no re-call) |
| Browser test overlay | No | No | Yes (live step progress) |
| Dependency ordering | No | No | Yes (depends_on field) |
| Skill Mode (no extra AI cost) | No | No | Yes |
| Canvas/Flutter OCR fallback | No | No | Yes (auto) |
| Platform auto-detection | No | No | Yes (7 frameworks) |
| Structured failure diagnosis | No | No | Yes (AI-independent) |
| Multi-document YAML | No | No | Yes (--- separator) |
| Strict validation | No | No | **Yes (aat va |
Test This Server
No automated test available for this server. Check the GitHub README for setup instructions.
Help improve this page
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Add informationScore Breakdown
Security
2/30No known vulnerabilities.
○
Known CVEs — No package registry to scan
○
Tool safety — No tools to analyze
○
Tool poisoning — No tools to analyze
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Injection vectors — No tools to analyze
○
Tool stability — First scan — baseline recorded
○
Dependency health — No package to analyze
✗
License — No license specified
○
Authentication — No authentication required
○
Repository — active repo
CVEs checked daily via OSV.dev. Score algorithm is open source.
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Frequently Asked Questions
- Is io.github.ksgisang/awt safe to use?
- io.github.ksgisang/awt has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.
- How do I install io.github.ksgisang/awt?
- io.github.ksgisang/awt can be installed by cloning its GitHub repository and following the setup instructions in the README.
- What AI clients work with io.github.ksgisang/awt?
- io.github.ksgisang/awt is compatible with Claude Desktop, Cursor, Claude Code, and most MCP clients that support stdio transport. It uses stdio transport.
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