pip install eu-ai-act-scanner
eu-ai-act-scanner /path/to/your/project

pip install eu-ai-act-scanner   # or: pip install mcp-eu-ai-act
cd your-project/
eu-ai-act-scanner

========================================================================
  EU AI Act Compliance Scanner
========================================================================

  Files scanned: 42
  AI frameworks detected: 2
    - openai (in 3 files)
    - langchain (in 1 file)

  Risk category: limited
  Compliance score: 4/7 (57%)
  Checks:
    [PASS] Transparency
    [PASS] User Disclosure
    [FAIL] Technical Documentation  → Create docs/TECHNICAL_DOCUMENTATION.md
    [FAIL] Risk Management          → Create docs/RISK_MANAGEMENT.md
    [FAIL] Data Governance          → Create docs/DATA_GOVERNANCE.md

git clone https://github.com/ark-forge/mcp-eu-ai-act.git
cd mcp-eu-ai-act
python3 -m venv .venv && source .venv/bin/activate
pip install -r requirements.txt
python3 server.py

pip install pytest
pytest tests/ -v

pip install eu-ai-act-scanner

claude mcp add eu-ai-act -- eu-ai-act-mcp

{
  "mcpServers": {
    "eu-ai-act": {
      "command": "eu-ai-act-mcp"
    }
  }
}

{
  "mcpServers": {
    "eu-ai-act": {
      "command": "eu-ai-act-mcp"
    }
  }
}

pip install uvicorn
python3 server.py --http
# Listening on 0.0.0.0:8089

{
  "files_scanned": 42,
  "ai_files": [
    {"file": "src/chat.py", "frameworks": ["openai"]},
    {"file": "requirements.txt", "frameworks": ["openai"], "source": "config"}
  ],
  "detected_models": {"openai": ["src/chat.py", "requirements.txt"]}
}

{
  "risk_category": "high",
  "compliance_score": "4/6",
  "compliance_percentage": 66.7,
  "content_scores": {
    "RISK_MANAGEMENT.md": 82,
    "TRANSPARENCY.md": 45,
    "DATA_GOVERNANCE.md": 12
  },
  "article_map": {
    "art_9": {"status": "pass", "score": 82},
    "art_10": {"status": "fail", "score": 12},
    "art_13": {"status": "pass", "score": 45}
  }
}

{
  "weeks_remaining": 16,
  "phases": [
    {
      "week": 1,
      "action": "Add TRANSPARENCY.md with user disclosure statement",
      "article": "Art. 13",
      "effort_days": 1,
      "priority": "critical"
    },
    {
      "week": 2,
      "action": "Draft risk management procedure covering Art. 9 requirements",
      "article": "Art. 9",
      "effort_days": 3,
      "priority": "high"
    }
  ],
  "estimated_completion_week": 8
}

{
  "executive_summary": {
    "compliance_percentage": 67,
    "deadline": "2026-08-02",
    "days_remaining": 117,
    "gap_count": 3,
    "verdict": "Action required — 3 gaps must be addressed before deadline"
  },
  "technical_breakdown": {
    "art_9": {"status": "fail", "missing": ["hazard identification section", "residual risk log"]},
    "art_13": {"status": "pass", "score": 78}
  },
  "recommendations": [
    {"article": "Art. 9", "action": "Add hazard identification section to RISK_MANAGEMENT.md", "effort": "2 days"}
  ]
}

{
  "suggested_category": "high",
  "confidence": "high",
  "matched_criteria": ["Annex III, Category 4 — AI in employment decisions"],
  "obligations_summary": "Technical documentation, risk management, human oversight, data governance, transparency"
}

{
  "package_path": "/tmp/annex4_myproject_20260407.zip",
  "sha256": "a3f8c2d1...",
  "sections_populated": 8,
  "sections_missing_data": ["section_6_accuracy_metrics"],
  "proof_id": "prf_01j9z8x7w6v5u4t3s2r1",
  "verification_url": "https://trust.arkforge.tech/verify/prf_01j9z8x7w6v5u4t3s2r1"
}

{
  "proof_id": "prf_01j9z8x7w6v5u4t3s2r1",
  "timestamp": "2026-04-07T14:32:00Z",
  "sha256": "a3f8c2d1e4b5...",
  "verification_url": "https://trust.arkforge.tech/verify/prf_01j9z8x7w6v5u4t3s2r1",
  "article": "EU AI Act Art. 12"
}

{
  "hotspots": [
    {
      "file": "src/hiring_model.py",
      "eu_ai_act_risk": "high",
      "gdpr_risk": "high",
      "overlap_patterns": ["AI+PII", "AI+automated_decision"],
      "combined_articles": ["EU AI Act Art. 14", "GDPR Art. 22"],
      "priority": "critical"
    }
  ],
  "key_insight": "2 files require simultaneous GDPR + EU AI Act remediation"
}

# Step 1: Generate Annex IV package and certify it
generate_annex4_package(
    project_path="/path/to/project",
    sign_with_trust_layer=True,
    trust_layer_key="your_trust_layer_key"
)
# → Returns proof_id + public verification URL for your auditor

# Step 2: Or certify any compliance report directly
certify_compliance_report(
    report_data='{"compliance_percentage": 87, "risk_category": "high"}',
    trust_layer_key="your_trust_layer_key"
)

python3 paywall_api.py
# Listening on 0.0.0.0:8091

curl -X POST https://arkforge.tech/mcp/api/v1/scan \
  -H "Content-Type: application/json" \
  -d '{"project_path": "/path/to/your/project"}'

STRIPE_LIVE_SECRET_KEY=sk_live_...
STRIPE_WEBHOOK_SECRET=whsec_...
TRUST_LAYER_INTERNAL_SECRET=<random-64-char-hex>
SMTP_HOST=ssl0.ovh.net
IMAP_USER=contact@example.com
IMAP_PASSWORD=...

Agent Client  →  Trust Layer  →  EU AI Act Scanner
   pays            certifies         delivers