eu-ai-act-mcp
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@eu-ai-act-mcpClassify my AI recruitment tool under the EU AI Act"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
EU AI Act MCP Server
An open-source Model Context Protocol (MCP) server that gives LLMs structured intelligence about the EU AI Act (Regulation (EU) 2024/1689).
Built by Lexbeam Software — an agentic AI implementation boutique for regulated workflows.
What's new in 1.1.5
Annex III(5) FRIA citation labels corrected. Article 27(1) universal FRIA triggers are now correctly cited as Annex III(5)(b) (creditworthiness or credit scoring) and Annex III(5)(c) (risk assessment and pricing for life and health insurance). Previous labels (5(a)/5(b) or 5(b)/5(a)) are fixed across
articles.ts,faq-database.ts,obligations.ts, and the generateddist.Article 27 carve-out clarified. Annex III point 2 (critical infrastructure) is the only Annex III category exempt from FRIA, now stated explicitly in every relevant surface.
Article 43 conformity assessment text corrected. Previous wording suggested "certain critical infrastructure" required notified-body involvement. Fixed: Annex III points 2-8 follow internal-control under Annex VI per Art. 43(2). Notified-body involvement is the Annex III(1) biometrics route under Art. 43(1) and the Annex I sectoral route under Art. 43(3).
Version skew resolved.
package.json, MCP server metadata (src/server.ts), and/healthendpoint now all report1.1.5consistently.Test count. Local suite is now 110 tests passing.
Related MCP server: mcp-eu-ai-act
What's new in 1.1.4
Digital Omnibus block in
euaiact_check_deadlinesupdated to reflect the 2026-05-07 Council/Parliament provisional political agreement.statusflips from"proposal_only"to"provisional_agreement". The agreement is not yet adopted law — current-law dates remain authoritative for compliance advice until formal adoption plus Official Journal publication.
What's new in 1.1.0
Structured classifier signals.
euaiact_classify_systemnow accepts optionalsignals(domain,uses_biometrics,biometric_realtime,is_safety_component_of_regulated_product,generates_synthetic_content,interacts_with_natural_persons, etc.). Signals take precedence over text matching and give deterministic, high-confidence answers on canonical Art. 5 / Annex III / Art. 50 cases.Matched signals + follow-up questions. Every classification now returns
matched_signals,missing_signals, andnext_questionsso the calling agent can explain why and ask the user what's still needed.Classifier correctness fixes. Rewrote
src/utils/matching.tsto eliminate a multi-word-keyword false-positive bug (where a single-character token like"e"in"e-commerce"could match keywords starting with"e") and a fractional-denominator false-negative (where realistic recruitment descriptions scored below threshold on Annex III(4)). SeeAUDIT.mdfor root-cause detail.4 new tools:
euaiact_get_article— retrieve operational summaries of the most-cited articles (Art. 3, 4, 5, 6, 9-17, 26, 27, 43, 47, 49, 50, 51, 53, 55, 72, 73, 99, 100, 113) plus stable EUR-Lex URLs for grounded citations.euaiact_check_gpai_systemic_risk— determine whether a GPAI model crosses the Art. 51(2) 10²⁵ FLOPs threshold and return Art. 53 baseline + Art. 55 systemic-risk obligations with the Art. 52 notification duty.euaiact_assess_art6_3_exception— walk through the Art. 6(3) "no significant risk" exception with explicit handling of the profiling block (Art. 6(3) second subparagraph) and the Art. 6(4) documentation reminder + Art. 49(2) registration duty.euaiact_annex_iv_checklist— return all nine Annex IV technical-documentation items, optionally as a markdown checklist, with an SME-simplified note.
2 new resources:
euaiact://annex/iii(full Annex III categories) andeuaiact://annex/iv(full Annex IV checklist), joining the existingeuaiact://timelineandeuaiact://risk-levels.New prompt:
ground-citation— guides the agent to calleuaiact_get_articleand quote with an EUR-Lex URL.5 new FAQ entries: FLOPs threshold for systemic-risk GPAI, FRIA for credit scoring, chatbot disclosure under Art. 50(1), minimal-risk spellchecker/recommender examples, and an expanded Art. 6(3) exception entry with the profiling caveat.
Penalty fix. When
is_sme: truethetier_details.descriptionnow correctly says "whichever is lower (Art. 99(6) SME/startup protection)" instead of contradicting themax_fine.explanation. A newcomparativeblock shows the SME reduction alongside the non-SME amount.Better deadlines tool. New
only_upcomingfilter and anext_milestoneshortcut at the top of the response.Improved FAQ search.
findBestMatchuses symmetric overlap (matched / min(query_words, item_words)), so specific multi-word queries like "FRIA for credit scoring" no longer drop to generic answers.Slim per-response branding.
disclaimer,source, andlast_updatedwere moved into the MCPserverInfo.instructionsshown once on initialize. Agents no longer pay a per-call context tax for attribution.lexbeam_urlis kept only where it adds deep-dive value (FAQ, obligations, classifier).Comprehensive test suite. Includes regression tests for every bug fixed in this release. Current local suite count: 110 tests passing.
Tools
Tool | Description |
| Classify an AI system's risk level (prohibited / high-risk / limited / minimal) from free text or structured signals. Returns matched signals, missing signals, and follow-up questions. |
| Implementation milestones with days remaining, |
| Specific compliance obligations by role (provider/deployer) and risk level, including GPAI (Art. 51-56) and universal AI literacy (Art. 4). |
| Semantic FAQ search across 24 curated EU AI Act questions with article references. |
| Calculate maximum fines by violation type, turnover, and SME status (Art. 99) with a comparative non-SME vs SME block. |
| Retrieve an operational summary and EUR-Lex URL for a specific article (Art. 3-113). |
| Check whether a GPAI model crosses the 10²⁵ FLOPs threshold and return Art. 53 + Art. 55 obligations plus the Art. 52 notification duty. |
| Walk through the Art. 6(3) "no significant risk" exception with explicit profiling block and Art. 6(4) / Art. 49(2) reminders. |
| Return all nine Annex IV technical-documentation items, optionally as a markdown checklist. |
Resources
URI | Description |
| Key implementation milestones of the EU AI Act. |
| Overview of the four risk categories. |
| Full Annex III high-risk AI categories (1-8) with descriptions, examples, and article references. |
| Full Annex IV technical-documentation items (1-9). |
Prompts
classify-my-system— guided classification usingeuaiact_classify_systemwith signal inferencecompliance-checklist— risk-level + role obligations checklist, including Annex IV for high-riskpenalty-risk-assessment— penalty calculation with SME comparativeground-citation(new) — retrieve article text + EUR-Lex URL for grounded citations
Quick Start
npx (no install)
npx -y @lexbeam-software/eu-ai-act-mcpClaude Desktop
Add to claude_desktop_config.json:
{
"mcpServers": {
"eu-ai-act": {
"command": "npx",
"args": ["-y", "@lexbeam-software/eu-ai-act-mcp"]
}
}
}Smithery
npx -y @smithery/cli@latest mcp add lexbeam-software/eu-ai-actDirect MCP endpoint: https://eu-ai-act--lexbeam-software.run.tools.
From source
git clone https://github.com/lexbeam-software/eu-ai-act-mcp.git
cd eu-ai-act-mcp
npm install
npm run build
npm start # stdio transport
npm run start:http # streamable HTTP (for Smithery/Railway)Knowledge Base
Curated, structured data covering:
8 Annex III high-risk categories with keyword matching and examples
8 prohibited AI practices (Art. 5 (1) (a)-(h))
Art. 6(3) exception conditions with the profiling block rule
Art. 50 transparency triggers (chatbots, deepfakes, emotion recognition, machine-readable marking)
5 implementation milestones with dynamic days-remaining calculation
Digital Omnibus proposal status and impact assessment
Provider obligations (13 for high-risk, 8 for GPAI including Art. 53 + Art. 55)
Deployer obligations (8 for high-risk)
Limited-risk transparency obligations (4 under Art. 50)
Universal AI literacy (Art. 4)
Penalty framework with SME protection logic (Art. 99)
24 FAQ entries with article references and Lexbeam knowledge-base links
27 article summaries with EUR-Lex URLs (new in 1.1.0)
Annex IV (9 documentation items) (new in 1.1.0)
All dates, articles, and obligations verified against the regulation text.
Regulatory Accuracy
This server tracks the current state of the EU AI Act as published (Regulation 2024/1689). The Digital Omnibus reached a Council/Parliament provisional political agreement on 2026-05-07 (procedure 2025/0359(COD)) and is now reported with status: "provisional_agreement". The agreement is not yet adopted law — current-law dates remain authoritative for compliance advice until formal adoption plus Official Journal publication.
Key dates verified:
2 Feb 2025 — Prohibited practices + AI literacy (in effect)
2 Aug 2025 — GPAI model obligations (in effect)
2 Aug 2026 — High-risk Annex III obligations (upcoming)
2 Aug 2027 — Annex I regulated products (upcoming)
Development
npm install
npm run build # typescript -> dist/
node test.mjs # run the 108-test suite
npm run dev # stdio dev server
npm run dev:http # HTTP dev serverDisclaimer
This MCP server is a structured information tool that returns references to and summaries of Regulation (EU) 2024/1689. It is not Rechtsberatung im Sinne des § 2 RDG and does not constitute legal advice in any jurisdiction. It cannot replace consultation with a qualified Rechtsanwalt or equivalent licensed professional. Use of this tool does not establish a lawyer-client relationship. For implementation support, visit lexbeam.com/kontakt.
License
MIT. See LICENSE. Regulation text summarised in src/knowledge/articles.ts and src/knowledge/annex-iv.ts is derived from Regulation (EU) 2024/1689, which is public-domain under Commission Decision 2011/833/EU.
About Lexbeam
Lexbeam Software builds agentic AI for compliance, legal operations, internal audit, and risk workflows.
Give us one ugly, regulation-heavy workflow. We'll turn it into a working AI system fast.
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