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@eucomplyhub/mcp-eu-ai-act

MCP (Model Context Protocol) server exposing free EU AI Act compliance classifiers to AI assistants. Built for Claude Desktop, Cursor, Windsurf, and any MCP-compatible client.

Powers AI assistants to evaluate mid-market SaaS systems against EU AI Act, NIST AI RMF, ISO/IEC 42001, OECD, GDPR, and sector-specific overlays.

npm npm downloads license MCP Powered by Claude


⚑ TL;DR (60-second install)

npm install -g @eucomplyhub/mcp-eu-ai-act

Add to your Claude Desktop config (~/Library/Application Support/Claude/claude_desktop_config.json):

{
  "mcpServers": {
    "eucomplyhub": {
      "command": "npx",
      "args": ["-y", "@eucomplyhub/mcp-eu-ai-act"]
    }
  }
}

Restart Claude Desktop. Ask:

"Classify Acme Inc β€” an HR-tech SaaS using AI to score candidates for B2B enterprise customers."

Claude returns full Annex III mapping, Article 50 transparency obligations, GPAI Article 53 reasoning, and 5 priority remediation actions tailored to the deployment.


πŸ†š How does this differ from other EU AI Act MCP servers?

There's one other EU AI Act MCP server in the awesome-mcp-servers Legal section (@ark-forge/mcp-eu-ai-act). It's a different scope:

This server

ark-forge/mcp-eu-ai-act

Frameworks

EU AI Act + NIST AI RMF + ISO/IEC 42001 + OECD + Singapore + GDPR + HIPAA + Colorado SB 24-205

EU AI Act only

Layers

Two: deterministic 30-sec + Claude-powered 60-sec

Code scanner

Output

Multi-jurisdiction risk class + Annex III mapping + Article 50/53 reasoning + 5 remediation actions

Violations + remediation guidance

Use case

Mid-market SaaS audit prep across multiple frameworks

Codebase compliance check

Use whichever fits your scope. They're complementary, not competitive.


🎬 Sample Claude Desktop output

> Classify Acme Inc β€” HR-tech SaaS using AI to score candidates for B2B enterprise customers.

Running classify_annex3...

Overall risk: HIGH-RISK
Summary: Acme operates in Annex III Β§4 (employment), with AI-driven
candidate scoring affecting hiring decisions. Article 50 disclosure
applies. EU customers trigger full obligations.

Annex III categories:
  III.4 Employment           βœ“ YES   β€” AI ranking influences hiring
  III.5 Essential services   β€” NO    β€” not credit/benefit scoring
  [...6 more categories...]

Article 50: APPLIES
  Reasoning: Candidates interact with AI-generated outputs;
  transparency disclosure required at the point of evaluation.

GPAI Article 53: deployer (you consume third-party foundation model)
  Reasoning: Score generation via OpenAI/Anthropic API β†’ you're
  not the provider, but Article 26 deployer obligations apply.

Priority remediation actions:
  1. Implement Article 14 human oversight UI β€” manager confirmation
     step before AI-ranked candidates auto-proceed
  2. Add Article 50 transparency banner β€” "AI-assisted scoring"
     notice visible to candidates
  3. Document training data lineage (Article 10) β€” if Acme fine-tunes
  4. Establish post-market monitoring (Article 72)
  5. GDPR overlap β€” DPIA required (Annex III high-risk = Art 35 trigger)

Tools exposed

1. quick_risk_class β€” 30-second multi-jurisdiction risk classifier

Deterministic, rule-based AI risk classification. No LLM call β€” same inputs always produce the same outputs.

Frameworks covered:

  • πŸ‡ͺπŸ‡Ί EU AI Act (Articles 5, 9–15, 26, 27, 50, 53)

  • πŸ‡ΊπŸ‡Έ NIST AI RMF (Govern Β· Map Β· Measure Β· Manage)

  • 🌐 ISO/IEC 42001 (Clauses 4–10 + Annex B)

  • 🌍 OECD AI Principles

  • πŸ‡ΈπŸ‡¬ Singapore Model AI Governance

  • πŸ‡¨πŸ‡³ PRC GenAI Interim Measures (for generation archetype)

  • πŸ” GDPR + UK GDPR + DPDP + CCPA + LGPD + PIPEDA (privacy stack)

  • πŸ₯ HIPAA / FDA SaMD / EU MDR-AI (healthcare overlay)

  • βš–οΈ EEOC + NYC AEDT + Colorado SB 24-205 (US employment overlay)

  • πŸ›οΈ OMB M-24-10 + CoE AI Convention (public sector overlay)

Inputs:

  • industry: healthcare, publicSector, education, hr, retail, industrial, media, other

  • archetype: decisioning, generation, classification, recommendation, automation, forecasting

  • impact: internal, b2b, consumer, regulated

Returns: Risk class (Critical / High / Limited / Minimal), 5-axis risk profile, per-framework verdicts.


2. classify_annex3 β€” Deep Annex III classification (Claude-powered)

Full EU AI Act mapping using Claude (Anthropic) with complete regulatory context β€” Articles 6, 9–15, 26, 27, 50, 53 plus the postponement nuance (Annex III standalone enforcement postponed to Dec 2 2027; Article 50 + GPAI Article 53 lock in Aug 2 2026).

Inputs:

  • company: Company name

  • industry: Industry/vertical

  • features: Array of AI features

  • useCase: Plain-English description (min 20 chars)

  • euExposure: eu-customers-output, eu-employees-only, no-eu, considering-eu

Returns:

  • Overall risk classification (high-risk / limited-risk / gpai / minimal-risk)

  • 8 Annex III categories with applies status + reasoning

  • Article 50 transparency obligations + reasoning

  • GPAI Article 53 applicability (provider / deployer) + reasoning

  • 5 priority remediation actions tailored to your stack

Calls https://eucomplyhub.com/api/annex3-classify β€” free, no signup, ~60s response time.


Install

For Claude Desktop

  1. Install the package globally:

    npm install -g @eucomplyhub/mcp-eu-ai-act
  2. Edit your Claude Desktop config file:

    • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json

    • Windows: %APPDATA%\Claude\claude_desktop_config.json

  3. Add the server:

    {
      "mcpServers": {
        "eucomplyhub": {
          "command": "npx",
          "args": ["-y", "@eucomplyhub/mcp-eu-ai-act"]
        }
      }
    }
  4. Restart Claude Desktop.

  5. In a new chat, ask:

    Use the eucomplyhub tools to classify Acme Inc β€” an HR-tech SaaS with CV screening features for European enterprise customers.

    Claude will call classify_annex3 and return a structured Annex III mapping + priority remediation actions.

For Cursor

Add to .cursor/mcp.json (workspace) or ~/.cursor/mcp.json (global):

{
  "mcpServers": {
    "eucomplyhub": {
      "command": "npx",
      "args": ["-y", "@eucomplyhub/mcp-eu-ai-act"]
    }
  }
}

For Windsurf

Add to ~/.codeium/windsurf/mcp_config.json:

{
  "mcpServers": {
    "eucomplyhub": {
      "command": "npx",
      "args": ["-y", "@eucomplyhub/mcp-eu-ai-act"]
    }
  }
}

Generic stdio client

npx -y @eucomplyhub/mcp-eu-ai-act

The server runs over stdio (standard MCP transport).


Example prompts

Once installed, ask your AI assistant questions like:

  • "What's the EU AI Act risk class for an HR-tech SaaS using AI to score job candidates?"

  • "Run the quick risk classifier for a healthcare diagnostic AI used by EU regulated medical providers."

  • "Deep-classify Acme Inc β€” they're a B2B fintech using AI to score loan applicants in the EU."

  • "For Notion AI features, what Annex III categories apply and what's the Article 50 obligation?"

The assistant will call the appropriate tool and return structured results you can act on.


What does this cost?

Free. Both tools call free public endpoints at eucomplyhub.com:

  • quick_risk_class runs entirely locally (deterministic JavaScript, no network call)

  • classify_annex3 calls https://eucomplyhub.com/api/annex3-classify (rate-limited free public API)

Rate limits apply for abuse prevention. Heavy usage should consider commissioning a full audit via eucomplyhub.com/audit.


Disclaimer

This MCP server is an educational tool for orientation, not legal advice. Each framework has specific clauses, exceptions, and edge cases. For binding compliance mapping (audit deliverables, certification prep, regulatory submission), consult an expert.

For a paid expert audit:

  • πŸ“‹ Tier 1 Quick Audit (€799): Free /risk-class + /annex3 + 60-min consultation

  • πŸ”¬ Tier 2 Full Audit (€1,999): Triple-framework methodology + audit-ready deliverable

  • πŸ›‘οΈ Tier 3 Continuous Monitoring (€299/mo): Post-audit ongoing review

Book at eucomplyhub.com/audit.


Methodology

Built and maintained by Piotr Reder (eucomplyhub.com). Triple-framework specialist for mid-market SaaS preparing for EU AI Act enforcement.

Risk class logic adapted from @clustral/risk-compass (MIT).

Annex III deep classifier powered by Anthropic Claude (claude-sonnet-4-6).


Web versions

Prefer a browser?


License

MIT β€” see LICENSE.

Contributing

Issues + PRs welcome at https://github.com/eucomplyhub/mcp-eu-ai-act

For questions about the audit methodology behind the tools, reach out: piotr@eucomplyhub.com


Roadmap

Q3 2026 (July–September)

  • classify_fria β€” Fundamental Rights Impact Assessment generator (Article 27)

  • classify_hr_bias β€” Vertical bias audit for HR-tech (Annex III Β§4 + Colorado SB 24-205)

  • validate_disclosure β€” Article 50 transparency UX audit (Generated by AI label checker)

Q4 2026 (October–December)

  • audit_gpai_provider β€” Article 53 GPAI provider compliance check (training data lineage + technical documentation)

  • monitor_continuous β€” Post-market monitoring helper (Article 72)

  • Localized output: PL, DE, FR, ES, IT

2027

  • Annex III standalone enforcement support (Dec 2 2027 deadline)

  • ISO/IEC 42001 certification readiness audit module

Feedback on priorities? Open an issue or email piotr@eucomplyhub.com.


Changelog

0.1.0 β€” 2026-05-14

  • Initial release

  • Two tools: quick_risk_class + classify_annex3

  • 10+ frameworks covered (EU AI Act, NIST AI RMF, ISO/IEC 42001, OECD, Singapore, GDPR, HIPAA, Colorado SB 24-205)

  • Claude Desktop / Cursor / Windsurf install instructions

  • Multi-jurisdiction overlay logic

  • Postponement-aware (Annex III standalone β†’ Dec 2 2027; Article 50 + GPAI 53 stay Aug 2 2026)

Install Server
A
license - permissive license
A
quality
C
maintenance

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