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EU AI Act Compliance Toolkit — MCP Server

GitHub Stars PyPI version Works with Claude Works with Cursor

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

EU AI Act compliance toolkit for developers. Scan your codebase, get a deadline-aware action plan, and generate an auditor-ready evidence package — certifiable with ArkForge Trust Layer.

August 2, 2026 enforcement deadline — 117 days remaining.

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

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

Quick Start

git clone https://github.com/ark-forge/mcp-eu-ai-act.git
cd mcp-eu-ai-act
pip install mcp
python3 server.py

Runs on Python 3.10+.

Full install

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

Claude Desktop

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "eu-ai-act": {
      "command": "python3",
      "args": ["/path/to/mcp-eu-ai-act/server.py"]
    }
  }
}

Claude Code

claude mcp add eu-ai-act python3 /path/to/mcp-eu-ai-act/server.py

Cursor

Add to .cursor/mcp.json:

{
  "mcpServers": {
    "eu-ai-act": {
      "command": "python3",
      "args": ["/path/to/mcp-eu-ai-act/server.py"]
    }
  }
}

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: 2026-08-02)

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": "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"}
  ]
}

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 GitHub repo by URL
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/en/mcp-eu-ai-act.html.

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

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