eu-ai-act-mcp

eu-ai-act-mcp

An MCP server providing structured intelligence about the EU AI Act, including risk classification, deadline tracking, obligations, penalties, and article lookups.

Category
访问服务器

README

EU AI Act MCP Server

License: MIT npm version smithery badge Test

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 generated dist.
  • 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 /health endpoint now all report 1.1.5 consistently.
  • Test count. Local suite is now 110 tests passing.

What's new in 1.1.4

  • Digital Omnibus block in euaiact_check_deadlines updated to reflect the 2026-05-07 Council/Parliament provisional political agreement. status flips 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_system now accepts optional signals (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, and next_questions so the calling agent can explain why and ask the user what's still needed.
  • Classifier correctness fixes. Rewrote src/utils/matching.ts to 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)). See AUDIT.md for 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) and euaiact://annex/iv (full Annex IV checklist), joining the existing euaiact://timeline and euaiact://risk-levels.
  • New prompt: ground-citation — guides the agent to call euaiact_get_article and 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: true the tier_details.description now correctly says "whichever is lower (Art. 99(6) SME/startup protection)" instead of contradicting the max_fine.explanation. A new comparative block shows the SME reduction alongside the non-SME amount.
  • Better deadlines tool. New only_upcoming filter and a next_milestone shortcut at the top of the response.
  • Improved FAQ search. findBestMatch uses 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, and last_updated were moved into the MCP serverInfo.instructions shown once on initialize. Agents no longer pay a per-call context tax for attribution. lexbeam_url is 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
euaiact_classify_system 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.
euaiact_check_deadlines Implementation milestones with days remaining, next_milestone shortcut, only_upcoming filter, and the Digital Omnibus proposal status.
euaiact_get_obligations Specific compliance obligations by role (provider/deployer) and risk level, including GPAI (Art. 51-56) and universal AI literacy (Art. 4).
euaiact_answer_question Semantic FAQ search across 24 curated EU AI Act questions with article references.
euaiact_calculate_penalty Calculate maximum fines by violation type, turnover, and SME status (Art. 99) with a comparative non-SME vs SME block.
euaiact_get_article (new) Retrieve an operational summary and EUR-Lex URL for a specific article (Art. 3-113).
euaiact_check_gpai_systemic_risk (new) Check whether a GPAI model crosses the 10²⁵ FLOPs threshold and return Art. 53 + Art. 55 obligations plus the Art. 52 notification duty.
euaiact_assess_art6_3_exception (new) Walk through the Art. 6(3) "no significant risk" exception with explicit profiling block and Art. 6(4) / Art. 49(2) reminders.
euaiact_annex_iv_checklist (new) Return all nine Annex IV technical-documentation items, optionally as a markdown checklist.

Resources

URI Description
euaiact://timeline Key implementation milestones of the EU AI Act.
euaiact://risk-levels Overview of the four risk categories.
euaiact://annex/iii (new) Full Annex III high-risk AI categories (1-8) with descriptions, examples, and article references.
euaiact://annex/iv (new) Full Annex IV technical-documentation items (1-9).

Prompts

  • classify-my-system — guided classification using euaiact_classify_system with signal inference
  • compliance-checklist — risk-level + role obligations checklist, including Annex IV for high-risk
  • penalty-risk-assessment — penalty calculation with SME comparative
  • ground-citation (new) — retrieve article text + EUR-Lex URL for grounded citations

Quick Start

npx (no install)

npx -y @lexbeam-software/eu-ai-act-mcp

Claude 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-act

Direct 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 server

Disclaimer

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.

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选