io.github.ark-forge/mcp-eu-ai-act MCP Server

EU AI Act Compliance Scanner — CLI + MCP Server

One command. Zero config. Full EU AI Act + GDPR compliance report in under 10 seconds.

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

Detects 16 AI frameworks in your codebase, maps each to binding legal articles, returns pass/fail with fix instructions. Free tier, no API key needed.

August 2, 2026 enforcement deadline. Fines up to 35M EUR or 7% global turnover.

If this tool helps your compliance work, a ⭐ on GitHub helps others discover it.

Need audit-grade proof? Certify every scan with ArkForge Trust Layer — tamper-proof, timestamped compliance evidence. 500 free proofs/month.

Get your compliance report →

Quick Start

CLI (scan any project in 10 seconds)

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

Output:

========================================================================
  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

Or specify a path directly: eu-ai-act-scanner /path/to/your/project

Track compliance over time (free): eu-ai-act-scanner . --register you@email.com

Free vs Pro

	Free	Pro (€29/mo)	Certified (€99/mo)
Scans per day	5	Unlimited	Unlimited
AI framework detection	✓ (16 frameworks)	✓ (16 frameworks)	✓ (16 frameworks)
Risk category suggestion	✓	✓	✓
Compliance check	—	✓ (content scoring 0-100)	✓
Full compliance report	—	✓ (executive + technical)	✓
Compliance roadmap	—	✓ (week-by-week plan)	✓
Annex IV package	—	✓ (auditor-ready ZIP)	✓
GDPR scan	—	✓	✓
Combined EU AI Act + GDPR	—	✓ (dual-compliance hotspots)	✓
Trust Layer certification	—	—	✓ (cryptographic proof)
CI/CD integration	—	✓	✓
API key	Not required	✓	✓
Tools available	2	10	10 + certification

Free tier: no sign-up, no API key — just pip install and scan. Pro unlocks the full compliance toolkit your team needs before the August 2027 deadline.

→ Compare plans & get your API key

What's New in v2

Feature	Description
generate_compliance_roadmap	Week-by-week action plan to reach compliance before your deadline
generate_annex4_package	Auditor-ready ZIP with all 8 Annex IV sections populated from your code
certify_compliance_report	Cryptographic proof via Trust Layer (EU AI Act Art. 12)
Content scoring	check_compliance now scores document content (0-100), not just existence
Article mapping	Every finding mapped to specific EU AI Act article

MCP Server (from source)

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

Run tests

pip install pytest
pytest tests/ -v

MCP Integration

Install from PyPI (recommended)

pip install eu-ai-act-scanner

Claude Code

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

Claude Desktop

Add to claude_desktop_config.json:

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

Cursor

Add to .cursor/mcp.json:

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

HTTP mode (for CI/CD or remote clients)

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

Tools Reference

1. scan_project

Detects AI framework usage in source code and config/manifest files. Supports 16 frameworks across Python, JS, TS, Go, Java, and Rust.

Key parameters: project_path (string, required)

Example output:

{
  "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"]}
}

---

2. check_compliance

Scores document content quality (0-100) and maps each finding to a specific EU AI Act article. Score ≥40 = pass. Fully backward compatible with v1.

Key parameters: project_path (string, required), risk_category (string, default: limited)

Example output (v2):

{
  "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}
  }
}

---

3. generate_compliance_roadmap — NEW in v2

Deadline-aware, week-by-week action plan to reach EU AI Act compliance before August 2, 2026. Sequences quick wins first using a criticality × 1/effort algorithm.

Key parameters: project_path (string, required), risk_category (string), target_date (string, ISO format, default: 2027-08-02)

Example output:

{
  "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
}

---

4. generate_report

Runs scan + compliance check, returns a combined report with two-level output: executive summary for DPO/legal and technical breakdown for developers. Article-by-article citations included.

Key parameters: project_path (string, required), risk_category (string, default: limited)

Example output:

{
  "executive_summary": {
    "compliance_percentage": 67,
    "deadline": "2027-08-02",
    "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"}
  ]
}

---

5. suggest_risk_category

Classifies your AI system into an EU AI Act risk category from a plain-text description. Matches against Art. 5 (prohibited), Annex III (high-risk), Art. 52 (limited), and minimal.

Key parameters: system_description (string, required)

Example output:

{
  "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"
}

---

6. generate_compliance_templates

Returns starter markdown templates for each required compliance document. Save them in docs/ and fill in the bracketed sections.

Key parameters: risk_category (string, default: high)

For high risk: Risk Management (Art. 9), Technical Documentation (Art. 11), Data Governance (Art. 10), Human Oversight (Art. 14), Robustness (Art. 15), Transparency (Art. 13).

---

7. generate_annex4_package — NEW in v2

Generates an auditor-ready ZIP with all 8 Annex IV sections populated from your actual project files. Optionally certifies with Trust Layer for cryptographic proof.

Key parameters: project_path (string, required), sign_with_trust_layer (bool, default: false), trust_layer_key (string, optional)

Example output:

{
  "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"
}

---

8. certify_compliance_report — NEW in v2

Certifies any compliance report with ArkForge Trust Layer. Returns a tamper-proof proof_id and public verification URL for your auditor (EU AI Act Art. 12 audit trail).

Key parameters: report_data (string, JSON-serialized report), trust_layer_key (string, required)

Example output:

{
  "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"
}

---

9. gdpr_scan_project

Scans for personal data processing patterns: PII fields, tracking pixels, geolocation, file uploads, cookie patterns. Maps to GDPR Art. 22/35 requirements.

Key parameters: project_path (string, required)

---

10. combined_compliance_report

Runs GDPR + EU AI Act scans simultaneously and identifies dual-compliance hotspots — files where both regulations apply at once.

Key parameters: project_path (string, required), risk_category (string, default: limited)

Example output:

{
  "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"
}

---

Certify Your Compliance (EU AI Act Art. 12)

The only MCP that generates cryptographically certified compliance evidence.

# 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"
)

Free Trust Layer account: 500 certified proofs/month → arkforge.tech

Pricing

Plan	Price	Includes
Free	€0	5 scans/day · scan_project + suggest_risk_category
Pro	€29/month	Unlimited scans · all 10 tools · compliance roadmap · Annex IV package
Certified	€99/month	Everything in Pro + Trust Layer certification on every report

Get your API key →

REST API

A separate HTTP API (paywall_api.py) provides rate-limited REST endpoints for CI/CD and external clients.

python3 paywall_api.py
# Listening on 0.0.0.0:8091

Method	Path	Auth	Description
GET	/api/v1/status	None	Service status + your rate limit
GET	/api/usage	None	Current free-tier usage for your IP
POST	/api/v1/scan	Free/Pro	Scan a project for AI frameworks
POST	/api/v1/check-compliance	Free/Pro	Check EU AI Act compliance
POST	/api/v1/generate-report	Free/Pro	Full compliance report
POST	/api/v1/scan-repo	Free (rate-limited)	Scan a public HTTPS Git repo by URL (port 443, public hosts only)
POST	/api/checkout	None	Stripe checkout session
POST	/api/webhook	Stripe sig	Stripe webhook handler

Free tier: 5 scans/day per IP, no sign-up required. Pro tier: Unlimited scans, X-API-Key header. 29 EUR/month via arkforge.tech/pricing.

Example: scan via REST

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

Configuration

For the REST API (Stripe payments, email notifications), create a settings.env:

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=...

Set SETTINGS_ENV_PATH to the file location (defaults to /opt/claude-ceo/config/settings.env).

Supported Frameworks (16)

Framework	Detection covers
OpenAI	GPT-3.5, GPT-4, GPT-4o, o1, o3, embeddings
Anthropic	Claude (Opus, Sonnet, Haiku)
Google Gemini	Gemini Pro, Ultra, 1.5, 2, 3, Flash
Vertex AI	Google Cloud AI Platform
Mistral	Mistral Large/Medium/Small, Mixtral, Codestral, Magistral
Cohere	Command-R, Command-R+, embeddings
HuggingFace	Transformers, Diffusers, Accelerate, SmolAgents
TensorFlow	Keras, .h5 model files
PyTorch	.pt/.pth model files, nn.Module
LangChain	Core, Community, OpenAI, Anthropic integrations
AWS Bedrock	Bedrock Runtime, Agent Runtime
Azure OpenAI	Azure AI OpenAI Service
Ollama	Local model inference
LlamaIndex	VectorStoreIndex, SimpleDirectoryReader
Replicate	Cloud model inference
Groq	Fast inference API

Detection works on both source code imports and dependency declarations in config files.

EU AI Act Risk Categories

Category	Examples	Key obligations
Unacceptable	Social scoring, mass biometric surveillance	Prohibited
High	Recruitment, credit scoring, law enforcement	Documentation, risk management, human oversight
Limited	Chatbots, content generation	Transparency, user disclosure, content marking
Minimal	Spam filters, video games	None

Limitations

• Static analysis only — detects imports and patterns, not runtime behavior
• Cannot determine risk category automatically from code alone (use suggest_risk_category with a description)
• check_compliance scores content quality — documents with boilerplate/placeholder text will score low
• File scanning limited to 5,000 files and 1 MB per file
• Certain system paths are blocked from scanning for security

ArkForge ecosystem

This scanner is the first service sold autonomously through the ArkForge Trust Layer — a certifying proxy that turns API calls into verifiable, paid, tamper-proof transactions.

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

Component	Description	Repo
Trust Layer	Certifying proxy — billing, proof chain, verification	ark-forge/trust-layer
MCP EU AI Act	Compliance toolkit (this repo)	ark-forge/mcp-eu-ai-act
Proof Spec	Open specification + test vectors for the proof format	ark-forge/proof-spec
Agent Client	Autonomous buyer — proof-of-concept of a non-human customer	ark-forge/arkforge-agent-client

Community

• Questions / integration help → GitHub Discussions Q&A
• Bug reports → Open an issue
• Feature requests → Open an issue or join the discussion
• Share your experience → Tell us what compliance gaps you found

Roadmap

• v3: GPAI obligations module (Art. 51-55, Code of Practice July 2025)
• v3: GitHub Action for CI/CD compliance gates
• v3: Runtime agentic compliance enforcement (Art. 14)

---

Found this useful? A ⭐ on GitHub helps other compliance teams discover the toolkit. Takes 2 seconds and helps a lot.

License

MIT