AI Act Sentinel

AI Act Sentinel

MCP server for EU AI Act compliance analysis โ€” classify any AI system or workflow against Regulation (EU) 2024/1689, updated with AI Omnibus 2026.

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AI Act Sentinel ๐Ÿ›ก๏ธ

MCP server for EU AI Act compliance analysis โ€” classify any AI system or workflow against Regulation (EU) 2024/1689, updated with AI Omnibus 2026.

Python License EU AI Act MCP Last Updated

Pass a PDF project document or plain text description โ€” get back a structured Italian compliance report: risk level, violated articles, operator obligations, and remediation steps.


Why AI Act Sentinel?

The EU AI Act (Reg. EU 2024/1689) is the world's first comprehensive AI regulation. With the main deadline on 2 August 2026 and fines up to โ‚ฌ35 million or 7% of worldwide turnover, understanding your compliance position is not optional.

Existing tools either:

  • Cover only ~30% of the Act (outdated repos from late 2024)
  • Require expensive legal consultations for every new workflow
  • Provide no automated pipeline integration

AI Act Sentinel runs locally as an MCP server, integrates directly with Claude Code, and fires automatically every time you build or modify an AI system.


Features

  • ๐Ÿ”ด Prohibited practice detection โ€” all 10 Art. 5 cases including AI Omnibus 2026 (NCII + CSAM)
  • ๐ŸŸ  High-risk classification โ€” all 8 Annex III categories + Annex I safety components
  • ๐ŸŸก Transparency obligations โ€” all 5 Art. 50 rules (chatbot disclosure, C2PA watermarking, deepfake labeling)
  • ๐Ÿ”ต GPAI model detection โ€” Chapter V obligations + systemic risk threshold (10ยฒโต FLOPs)
  • ๐Ÿ“„ PDF project analysis โ€” extract text from any project document and run full compliance check
  • ๐Ÿ‘ค Role-aware reports โ€” obligations differ by role (provider, deployer, importer, distributorโ€ฆ)
  • ๐Ÿ”— Ansvar integration โ€” optional live article lookup via Ansvar Systems EU Compliance MCP gateway
  • ๐Ÿ‡ฎ๐Ÿ‡น Italian reports โ€” structured output in Italian with article citations and remediation steps

Risk Levels

Level Trigger Max Penalty
๐Ÿ”ด PROHIBITED Art. 5 violation โ‚ฌ35M or 7% worldwide turnover
๐ŸŸ  HIGH_RISK Annex III or Annex I safety component โ‚ฌ15M or 3% worldwide turnover
๐ŸŸก LIMITED_RISK Art. 50 transparency obligations only โ‚ฌ15M or 3% worldwide turnover
๐Ÿ”ต GPAI General Purpose AI model (Chapter V) โ‚ฌ15M or 3% worldwide turnover
๐ŸŸข MINIMAL_RISK No mandatory obligations โ€”
โšช OUT_OF_SCOPE Military / personal / pre-commercial R&D โ€”

Coverage

Chapter Articles Status
Ch. II โ€” Prohibited Practices Art. 5 (10 cases incl. Omnibus 2026) โœ… Complete
Ch. III โ€” High-Risk Systems Art. 6, Annex III (8 categories) โœ… Complete
Ch. IV โ€” Transparency Art. 50 (5 rules) โœ… Complete
Ch. V โ€” GPAI Models Art. 51-55, systemic risk โœ… Complete
Ch. XI-XIII โ€” Sanctions Art. 99-101 โœ… Complete
Roles & Obligations 6 operator roles โœ… Complete
Implementation Timeline 2024-2031 โœ… Complete

MCP Tools

Tool Description
analyze_pdf Analyze a PDF project document โ€” full compliance pipeline
classify_text Classify any text description against the Act
generate_report Generate full Italian compliance report
lookup_article Fetch article text from Ansvar gateway
search_act Full-text search across EU AI Act
get_obligations Get obligations by operator role

Installation

Prerequisites

pip install pymupdf

Add to Claude Code (MCP config)

Add to ~/.mcp.json or ~/Orchestrator/.mcp.json:

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

Restart Claude Code. The 6 tools will be available in your session.


Usage

Analyze a PDF project

analyze_pdf(pdf_path="/path/to/your/project.pdf")

Classify a text description

classify_text(
  description="Sistema di recruitment AI con filtraggio automatico CV e ranking candidati",
  generate_full_report=True
)

Quick Python test

cd ai-act-sentinel
python3 -c "
from tools.classifier import classify
from tools.reporter import generate_report

desc = 'Sistema AI per valutare creditworthiness di persone fisiche per mutui bancari'
result = classify(desc)
print(generate_report(result, source='test'))
"

Sample output

======================================================================
AI ACT SENTINEL โ€” RAPPORTO DI CONFORMITร€
Data analisi: 2026-06-18
Fonte: test
======================================================================

LIVELLO DI RISCHIO: ๐ŸŸ  ALTO RISCHIO (Annex III / Art. 6)

DESCRIZIONE: Il sistema AI rientra nelle categorie ad alto rischio.
Sono obbligatori requisiti completi del Capitolo III.

SINTESI: System matches 1 Annex III high-risk category.

SANZIONE MASSIMA: โ‚ฌ15.000.000 o 3% del fatturato mondiale annuo

ARTICOLI POTENZIALMENTE VIOLATI:
  โ€ข Annex III(5)

PROBLEMI RILEVATI:
  1. 5. Essential Public & Private Services (Annex III(5))
     Keywords trovate: creditworthiness, persone fisiche, mutui

OBBLIGHI APPLICABILI:
  โœ“ Art. 9 โ€” Risk management system
  โœ“ Art. 10 โ€” Data governance
  โœ“ Art. 11 โ€” Technical documentation
  โœ“ Art. 43 โ€” Conformity assessment
  โœ“ Art. 49 โ€” EU database registration
  ...

RACCOMANDAZIONI:
  1. Implementare un sistema di gestione del rischio (Art. 9)
  2. Predisporre documentazione tecnica completa (Art. 11)
  3. Effettuare valutazione di conformitร  (Art. 43)
  4. Registrarsi nel database UE (Art. 49) prima del deployment

Project Structure

ai-act-sentinel/
โ”œโ”€โ”€ server.py                    # MCP server โ€” JSON-RPC 2.0 over stdio
โ”œโ”€โ”€ knowledge/
โ”‚   โ”œโ”€โ”€ prohibited.py            # Art. 5 โ€” 10 prohibited practices
โ”‚   โ”œโ”€โ”€ annex_iii.py             # Annex III โ€” 8 high-risk categories
โ”‚   โ”œโ”€โ”€ transparency.py          # Art. 50 โ€” 5 transparency rules
โ”‚   โ”œโ”€โ”€ gpai.py                  # Chapter V โ€” GPAI + systemic risk
โ”‚   โ”œโ”€โ”€ roles.py                 # 6 operator roles + obligations matrix
โ”‚   โ””โ”€โ”€ sanctions.py             # Art. 99-101 sanction tiers
โ”œโ”€โ”€ tools/
โ”‚   โ”œโ”€โ”€ classifier.py            # 6-question decision tree (Q1โ†’Q6)
โ”‚   โ”œโ”€โ”€ reporter.py              # Italian report generator
โ”‚   โ”œโ”€โ”€ pdf_analyzer.py          # PDF text extraction (PyMuPDF)
โ”‚   โ””โ”€โ”€ ansvar.py                # HTTP client โ†’ gateway.ansvar.eu/mcp
โ””โ”€โ”€ requirements.txt

Classification Decision Tree

Q1: In scope? (not military / personal / pre-commercial)
Q2: Art. 5 prohibited practice? โ†’ PROHIBITED (stop)
Q3: Annex III use case? โ†’ HIGH_RISK (or exception if only procedural + no profiling)
Q4: Annex I safety component? โ†’ HIGH_RISK Art. 6(1)
Q5: Art. 50 trigger? (chatbot / synthetic content / emotion / deepfake) โ†’ LIMITED_RISK
Q6: GPAI model? โ†’ Chapter V obligations (+ Art. 55 if >10ยฒโต FLOPs)
โ†’ else: MINIMAL_RISK

Key Deadlines

Date What enters into force
โœ… 2 Feb 2025 Art. 5 prohibited practices + AI literacy (Art. 4)
โœ… 2 Aug 2025 GPAI obligations (Ch. V) + governance + sanctions
โš ๏ธ 2 Aug 2026 Everything else: high-risk, Art. 50, deployer obligations, EU DB registration
2 Aug 2027 Art. 6(1) Annex I products + pre-2025 GPAI compliance
7 May 2026 AI Omnibus: NCII/CSAM prohibitions, SME relief, EU sandboxes

External Data Layer

For live article lookups, AI Act Sentinel integrates with Ansvar Systems EU Compliance MCP:

  • 126 AI Act articles, 68 definitions, 181 recitals
  • Updated daily from EUR-Lex
  • 50 free queries/day at https://gateway.ansvar.eu/mcp
  • Graceful fallback to local knowledge if gateway is unavailable

Auto-Trigger Integration

When used with Claude Code and the provided CLAUDE.md configuration, AI Act Sentinel fires automatically:

  • Every time you create or modify an N8N / Make workflow
  • Every time you build an AI-powered application
  • Every time you describe a system that processes personal data with ML
  • When you pass a PDF project document for review

Behavior by risk level:

  • PROHIBITED โ†’ Claude stops and refuses to deploy
  • HIGH_RISK โ†’ Report shown, user confirmation required before deploy
  • LIMITED_RISK โ†’ Art. 50 disclosures added to system design automatically

Privacy

AI Act Sentinel is designed to be private by default:

  • ๐Ÿ–ฅ๏ธ Runs entirely on your machine โ€” it's a local MCP server. Your project documents and descriptions never leave your computer for processing.
  • ๐Ÿ”‘ No API keys required โ€” the classifier and report generator need no credentials and read no environment secrets.
  • ๐Ÿšซ No data collection, no telemetry โ€” nothing is logged to or sent to the author or any analytics service.
  • ๐Ÿ”— One optional external call โ€” only the lookup_article / search_act tools may contact the public Ansvar Systems gateway (gateway.ansvar.eu) for live article text. Only the article ID or query you request is sent, from your machine. If the gateway is unavailable, it falls back to the bundled local knowledge base โ€” so the tool works fully offline too.

Disclaimer

AI Act Sentinel is an automated compliance screening tool for informational purposes only. It does not constitute legal advice. For deployment decisions involving high-risk AI systems, consult a qualified legal professional specializing in EU AI regulation.

Regulatory basis: Regulation (EU) 2024/1689 (EU AI Act) as amended by AI Omnibus (May 2026). Last knowledge update: June 2026.


License

MIT โ€” see LICENSE


Built with โค๏ธ for the EU AI compliance ecosystem.

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