disclos-eu-ai-act

An MCP server that lets AI assistants (Claude Desktop, Claude Code, Cursor, Windsurf, and any MCP-compatible client) classify an AI system under the EU AI Act — Regulation (EU) 2024/1689.

Ask your assistant a plain-English question and it returns a structured scope finding: the risk tier, the obligations, and the deadlines.

Built and maintained by Disclos — fixed-price EU AI Act audits for SaaS companies.

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What it does

Three tools:

Tool	What it returns
classify_ai_system	A full scope finding — tier, obligations, deadline — from a description of the product.
eu_ai_act_timeline	The enforcement timeline (Feb 2025 → Aug 2028) and what takes effect on each date.
explain_tier	A detailed explanation of one risk tier and its duties.

It tests every tier the Act defines: prohibited (Art 5), high-risk (Annex III), GPAI provider (Art 53), transparency (Art 50), minimal, and out of scope — and it flags the common mistake of over-classifying as high-risk.

TL;DR — 60-second install (Claude Desktop)

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

{
  "mcpServers": {
    "disclos-eu-ai-act": {
      "command": "npx",
      "args": ["-y", "disclos-eu-ai-act"]
    }
  }
}

Restart Claude Desktop, then ask:

"We run a B2B SaaS with an AI chatbot and some EU customers. Are we in scope under the EU AI Act, and at what tier?"

Claude calls classify_ai_system and returns a finding with the tier, obligations, and the relevant deadline.

Run from source

git clone https://github.com/GatisOzols/disclos-eu-ai-act
cd disclos-eu-ai-act
npm install
npm start            # starts the server on stdio

Then point any MCP client at node /path/to/src/index.js.

How it works

A small, deterministic classifier maps six yes/no facts about your product to the Act's tiers. No network calls, no data collection, no tracking — everything runs locally on stdio.

Accuracy & limits

• The logic follows the public text of Articles 5, 6, 50, 53 and Annex III.
• It's a screening aid, accurate for most straightforward SaaS products.
• Edge cases (multi-modal systems, mixed provider/deployer roles, biometric inference) need a human review.
• This is general information, not legal advice.

License

MIT © 2026 Gatis Ozols / Disclos. Original work, free to use, copy, modify and share.