Install
$ agentstack add mcp-ironclawdevs27-argus Open-source listing — not yet scanned by AgentStack. Follow the source repository for install instructions.
Security review
⚠ Flagged1 finding(s); flagged for manual review. · v0.1.0 How review works →
- • Prompt-injection patterns
- • Secret / credential exfiltration
- • Dangerous shell & filesystem operations
- • Untrusted network calls
- • Known-malicious package signatures
- high Dangerous shell/eval execution.
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ● Environment & secrets Used
- ● Dynamic code execution Used
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
About
Argus — The QA Layer for AI-Assisted Development
Your AI agent writes the code. Argus checks what it actually built.
[](https://glama.ai/mcp/servers/ironclawdevs27/Argus)
[](https://www.npmjs.com/package/argusqa-os) [](test-harness/) [](LICENSE)
One line in your MCP config gives Claude (or any MCP agent) a real Chrome audit engine — 67 audit categories · 149 finding types · zero test files to write or maintain. And with Aegis, what it finds never leaks your secrets to the LLM.
▶ See it in action → argus-qa.com
[Quick Start](#quick-start) · [The Fix Loop](#the-fix-loop) · [What It Catches](#what-argus-catches) · [Your Stack](#works-with-your-stack) · [MCP Tools](#mcp-tools) · [Full Setup](#full-setup) · [Reference](REFERENCE.md)
Why Argus Exists
AI agents now write most of the code — and they judge their own work by whether it compiles and looks done, not by what actually happens in the browser. The uncaught exception on the third click. The form that posts credentials over HTTP. The 4-second LCP. The button that vanished in dark mode. The API endpoint hammered in an infinite loop.
Argus closes that gap. It drives a real Chrome (via the Chrome DevTools Protocol) against your locally-running app and hands the agent — or you — a structured, severity-ranked bug report. The agent fixes; Argus re-checks; the loop closes before the code leaves your machine.
| | | |---|---| | 🧪 No test files, ever | Argus audits the rendered app — DOM, console, network, pixels — not your source. Nothing to write, nothing to maintain when the agent refactors | | 🤖 Built for the agent loop | The only QA engine Claude can call natively over MCP. Audit → fix → re-audit without leaving the conversation | | 🔒 Safe for agents by default | Aegis: findings are redacted at every egress boundary — secrets, PII, and exploit detail never reach the LLM's context window (OWASP LLM02, default-ON, fail-closed) | | 🧰 Also a normal QA tool | CLI batch audits, a GitHub Action PR gate, Slack reports with screenshots, dev-vs-staging diffs, watch mode — with or without an agent |
Quick Start
> No install. npx fetches Argus on first run.
1 — Add two lines to .mcp.json in your project root:
{
"mcpServers": {
"chrome-devtools": { "command": "npx", "args": ["-y", "chrome-devtools-mcp@latest"] },
"argus": { "command": "npx", "args": ["-y", "argusqa-os"] }
}
}
Or via the Claude Code CLI:
claude mcp add chrome-devtools -- npx -y chrome-devtools-mcp@latest
claude mcp add argus -- npx -y argusqa-os
2 — Launch Chrome (auto-detects your Chrome, sets the right flags):
npx -y -p argusqa-os argus-chrome
Prefer launching Chrome manually? (macOS / Windows / Linux commands)
# macOS
open -a "Google Chrome" --args --remote-debugging-port=9222 --headless=new
# Windows (PowerShell)
& "C:\Program Files\Google\Chrome\Application\chrome.exe" --remote-debugging-port=9222 --headless=new --no-sandbox --disable-gpu --user-data-dir="$env:TEMP\chrome-argus"
# Linux
google-chrome --remote-debugging-port=9222 --headless=new --no-sandbox
3 — Ask your agent:
Run argus_audit on http://localhost:3000
That's it. Findings come back structured and severity-ranked — into the conversation, to Slack, or as a local report.html. Something off? npx -y -p argusqa-os argus-doctor diagnoses your setup in one command.
The Fix Loop
This is what Argus looks like inside an agentic coding session:
You: Build me a checkout page with a card form.
Agent: [writes the code, dev server renders it]
You: Run argus_audit on http://localhost:3000/checkout
Argus: ● 2 critical · 3 warnings
● uncaught TypeError in checkout.js (visible on submit)
● form posts over HTTP — security_no_https
▲ card inputs missing labels + autocomplete (a11y/WCAG)
▲ LCP 4.1s — hero image unoptimized
▲ duplicate POST /api/cart ×7 — likely render loop
Agent: [fixes all five]
You: Run argus_get_context
Argus: ✓ resolved: 5 · persisting: 0 · new: 0
argus_get_context diffs against the previous snapshot, so the agent knows exactly what it fixed, what it broke, and what remains — no re-reading walls of output.
"But my agent can already drive a browser…" — it can. Driving isn't judging. A raw browser MCP (Playwright MCP, bare chrome-devtools-mcp) gives the agent hands and eyes; the agent must then re-derive what to check every session, burning context on console-log spelunking. Argus is the judgment layer on top: 149 codified finding types with thresholds, severity policy, cross-run baselines, flakiness filtering, dedup, root-cause hints — returned in one call, redacted by default.
What Argus Catches
32 analysis engines, 149 distinct issue types, zero test-file maintenance:
| Category | What it detects | |---|---| | JavaScript | Uncaught exceptions, unhandled promise rejections, console.error on critical routes | | Network & API | HTTP 5xx, 401/403 auth failures, duplicate API calls (infinite loops), 4xx errors, broken links | | Performance | LCP > 2500ms, CLS > 0.1, TTFB > 800ms, slow APIs > 1s/3s, payloads > 500KB/2MB, JS bundles > 500KB | | Accessibility | axe-core (80+ WCAG rules), color-blind simulation, missing ARIA, keyboard focus, heading hierarchy | | SEO | Missing meta description, OG tags, canonical, viewport, h1 | | Security | Auth tokens in localStorage/URL, eval(), missing CSP/X-Frame-Options, CSP violations, missing SRI on external scripts, source map exposure, open redirects, npm CVEs | | CSS | Cascade overrides, component style leaks, unused rules, React inline style conflicts | | Content | null/undefined as visible text, lorem ipsum, broken images, empty data lists | | Responsive | Horizontal overflow at 375px/768px, touch targets 1s, suboptimal formats | | Motion | prefers-reduced-motion violations, autoplay without pause controls | | Theme | Dark-mode gaps — static CSS vars, missing prefers-color-scheme handling | | Network baseline | New requests, missing requests, status-code regressions vs saved HAR baseline | | Environment diff | Dev vs staging — screenshot diff, DOM changes, console/network regressions |
And every finding is post-processed with:
| Post-processor | What it adds | |---|---| | Intelligent baseline filtering | Findings that flip-flop across runs are tagged noisy and downgraded to info — pure cross-run heuristics, no API calls (ARGUS_NOISE_FILTER=0 to disable) | | Root cause linking | New findings are annotated with the recent git commits and files most likely to have caused them (ARGUS_ROOT_CAUSE=0 to disable) |
> All findings are classified as critical / warning / info and routed to the right Slack channel — or surfaced in the local HTML report. For per-finding severity tables and detection methods, see [REFERENCE.md](REFERENCE.md).
Works With Your Stack
Argus audits the rendered output, not your source — so it is framework-agnostic by construction. If it runs in Chrome, Argus can audit it:
| | | |---|---| | SPA frameworks | React, Vue, Angular, Svelte/SvelteKit, Solid, Preact, Astro… | | Meta-frameworks | Next.js, Nuxt, Remix, Gatsby — plus framework-aware extras: Next.js & React Router route discovery, import-graph PR mapping ("this component changed → audit only the routes that render it"), monorepo path awareness | | Server-rendered | Rails, Django, Laravel, Flask, Spring, PHP — anything that serves HTML to a browser | | Static / no framework | Plain HTML/CSS/JS, docs sites, landing pages | | APIs (via the page) | Response schema validation, status/timing checks on every request the page makes |
Honest limits: Chrome/Chromium rendering only (no Safari/Firefox engine differences), web only (no native mobile/desktop apps), and backend services are checked through the traffic the page generates — not as standalone API test suites.
Confidentiality — Aegis Egress Boundary
> Default ON. Argus audits your app for secrets and vulnerabilities — so its findings are exactly the data you least want leaving your machine. Aegis redacts them at every external boundary before they cross. For teams adopting AI agents, this is the difference between "we use an AI QA tool" and "we can tell our security lead exactly why it's safe."
A finding sent to an external sink — an MCP tool response (which lands in the calling agent's context window and transits to that agent's model provider), a Slack message, a GitHub PR comment + its ::error annotations, the hosted/CI HTML report, or CI logs — is reduced to a need-to-know projection: a sensitive finding crosses as its type + route + severity + a 🔒 marker, and never its raw payload (message, evidence, request/response bodies, headers, cookies, stack). URLs are projected with the query string stripped (tokens hide there). A benign finding keeps its message — but that message is still scrubbed for any accidentally-embedded secret or PII.
| Principle | Behavior | |---|---| | Local fidelity preserved | The on-disk JSON report and the locally-opened HTML keep 100% detail — redaction only removes detail on the way out | | Fail-closed | On any classifier error or unknown finding shape, Aegis redacts more, never less | | Deny-by-default | Only an explicit allowlist of safe fields ever crosses; a new field leaks nothing until deliberately allowlisted | | 5-layer detection | Category rules ∪ 13 secret regexes ∪ statistical rarity (entropy / token-efficiency) ∪ 7 Luhn-validated PII rules ∪ context boosting | | Opt-out | ARGUS_REDACT_SENSITIVE=0 → output is byte-identical to pre-Aegis |
This implements the OWASP LLM02:2025 — Sensitive Information Disclosure mitigations (data minimization, redaction, deny-by-default egress filtering) at Argus's own boundaries. An optional, local-only re-hydration vault (ARGUS_REDACT_VAULT=1) can mint reversible, information-free tokens for diff-stable artifacts — re-inflate locally with npm run report:rehydrate. Full behavior change is documented in [CHANGELOG.md](CHANGELOG.md).
MCP Tools
Ask Claude (or any MCP client) — no terminal required:
| Tool | Description | |---|---| | argus_audit | Fast pass — JS, network, accessibility, SEO, security, CSS, content | | argus_audit_full | Deep pass — adds Lighthouse, responsive checks, memory leak detection, hover-state bugs | | argus_compare | Diff dev vs staging — screenshots, findings delta, environment regressions | | argus_get_context | Capture everything broken on the open tab — with resolved / new / persisting diff vs the last snapshot (the fix loop) | | argus_watch_snapshot | Snapshot the open tab without navigating (preserves auth/form state) | | argus_last_report | Return last JSON report without re-running | | argus_design_audit | Figma URL → 13 design-token finding types (color, spacing, typography, shadows, etc.) | | argus_visual_diff | Screenshot baseline comparison. Pass updateBaseline: true to reset. | | argus_pr_validate | Fetch GitHub PR diff → map changed files to affected routes → targeted audit → baseline-aware block decision (blocks on findings the PR introduces) + idempotent PR comment + Check Run → { blocked, findings, baseline, reporting } |
> Every tool response is projected through the [Aegis egress boundary](#confidentiality--aegis-egress-boundary) before it reaches the agent, and carries an optional redaction rider ({ redacted, total }) when sensitive detail was withheld.
Example prompts:
Run argus_audit on http://localhost:3000/checkout
Run argus_audit_full on http://localhost:3000/dashboard
Run argus_compare
Run argus_get_context
Battle-Tested, Not Vibe-Tested
Argus's own correctness is enforced the way it audits yours:
- 978/978 hard assertions across a 168-block integration harness driving real Chrome against 64 fixture pages — including per-category negative controls (zero over-fire), golden response schemas for all 9 MCP tools, and an upstream-drift canary that catches chrome-devtools-mcp API changes at version-bump time
- 495 Chrome-free unit tests (Vitest) + property-based parser fuzzing
npm audit: 0 vulnerabilities · CodeQL + Dependabot on every PR · Socket.dev: 100/100/100 on vulnerability/quality/license- Session files and captured tokens written
0600, owner-only
Full Setup
Prerequisites
| Requirement | Version | |---|---| | Node.js | v20.19+ | | Chrome | Stable (desktop or headless) | | Claude Code | Latest (npm install -g @anthropic-ai/claude-code) — or any MCP client | | Slack workspace | Optional — omit for local report.html mode |
Option A — MCP Server (recommended for Claude Code users)
No local install needed. Use the [Quick Start](#quick-start) above, then add your target URL:
# .env in your project root
TARGET_DEV_URL=http://localhost:3000
TARGET_STAGING_URL=https://staging.example.com # optional — enables argus_compare
Optional — Slack notifications:
- api.slack.com/apps → Create New App → name it BugBot
- OAuth & Permissions → Bot Token Scopes:
chat:write,files:write,files:read - Install to workspace → copy the
xoxb-...token - Create channels
#bugs-critical,#bugs-warnings,#bugs-digestand run/invite @BugBotin each
SLACK_BOT_TOKEN=xoxb-...
SLACK_CHANNEL_CRITICAL=C0000000000
SLACK_CHANNEL_WARNINGS=C0000000001
SLACK_CHANNEL_DIGEST=C0000000002
> Without Slack: Argus auto-generates reports/report.html and opens it in your browser — zero extra config.
Option B — npm Package (CI / dev dependency)
npm install --save-dev argusqa-os
npx argus init # interactive wizard — detects framework, discovers routes, writes .env
npm run crawl # run after Chrome is started
Option C — Clone the Repository (contributors / full source)
git clone https://github.com/ironclawdevs27/Argus.git
cd Argus
npm install
npm run init # interactive setup wizard
Manual setup (skip the wizard):
cp .env.example .env
# Fill in TARGET_DEV_URL and optional Slack tokens
Then configure your routes in [src/config/targets.js](src/config/targets.js):
export const routes = [
{ path: '/', name: 'Home', critical: true, waitFor: 'main' },
{ path: '/login', name: 'Login', critical: true, waitFor: 'form' },
{ path: '/dashboard', name: 'Dashboard', critical: true, waitFor: '[data-testid="dashboard"]' },
{ path: '/settings', name: 'Settings', critical: false, waitFor: null },
];
critical: true— errors on this route go to#bugs-criticalwaitFor— CSS selector Argus waits for before capturing (signals page-ready)
CLI Commands
npm run chrome # Launch Chrome with --remote-debugging-port=9222 (auto-detects binary)
npm run doctor # Pre-flight check: Chrome reachable, .mcp.json valid, .env has TARGET_DEV_URL
npm run crawl # Batch audit of all configured routes
npm run compare # Dev vs staging diff (CSS-only if no staging URL)
npm run watch # Passive monitor — polls open Chrome tab every 1s
npm run report:html # Generate reports/report.html from last JSON audit
npm run report:pdf # Export HTML report to A4 PDF (requires: npm install puppeteer)
npm run server # Start Slack slash-command server (port 3001)
npm run init # Interactive setup wizard
npm run test:unit # 495 unit tests — no Chrome required
npm run test:harness # 168-block correctness harness — requires Chrome
npm run
…
## Source & license
This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.
- **Author:** [ironclawdevs27](https://github.com/ironclawdevs27)
- **Source:** [ironclawdevs27/Argus](https://github.com/ironclawdevs27/Argus)
- **License:** MIT
- **Homepage:** https://argus-qa.com/
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.