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Eu Ai Act Compliance Mcp

csoai-org/eu-ai-act-compliance-mcp
9 toolsSTDIOregistry active
Summary

Gives Claude direct access to all 410 articles of the EU AI Act from EUR-Lex so you can classify AI system risk levels, run 42-point compliance audits, generate Article 11 technical documentation, and calculate potential penalties during development. Built by MEOK AI Labs as part of their governance tooling. You'd reach for this when building or auditing AI systems that need to comply with EU regulations and want the actual legal text plus structured compliance checks in your workflow rather than manually cross-referencing PDFs. MIT licensed, installs via pip or Smithery.

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Tools

Public tool metadata for what this MCP can expose to an agent.

9 tools
euaiact_classify_systemClassify an AI system's risk level under the EU AI Act (Regulation 2024/1689). Accepts a free-text description, a use_case, and/or structured signals (domain, biometric flags, synthetic content, etc.). Signals take precedence over text matching for deterministic classification...4 params

Classify an AI system's risk level under the EU AI Act (Regulation 2024/1689). Accepts a free-text description, a use_case, and/or structured signals (domain, biometric flags, synthetic content, etc.). Signals take precedence over text matching for deterministic classification...

Parameters* required
rolestring
one of provider · deployer · unknowndefault: unknown
signalsobject
use_casestring
Specific context where the system is deployed
descriptionstring
Free-text description of the AI system and its functionalities
euaiact_check_deadlinesReturns key implementation milestones and deadlines for the EU AI Act with days remaining, a `next_milestone` shortcut, and the current status of the Digital Omnibus simplification proposal. Use `only_upcoming: true` to drop past milestones.2 params

Returns key implementation milestones and deadlines for the EU AI Act with days remaining, a `next_milestone` shortcut, and the current status of the Digital Omnibus simplification proposal. Use `only_upcoming: true` to drop past milestones.

Parameters* required
areastring
Optional filter by compliance area (e.g. 'GPAI', 'high-risk', 'prohibited')
only_upcomingboolean
If true, return only milestones that have not yet come into effect.
euaiact_get_obligationsReturns specific compliance obligations for providers or deployers based on AI system risk level.3 params

Returns specific compliance obligations for providers or deployers based on AI system risk level.

Parameters* required
rolestring
Provider or deployer roleone of provider · deployer
risk_levelstring
AI system risk level. Use 'gpai' for general-purpose AI model obligations (Art. 51-56).one of high-risk · limited · minimal · gpai
filter_keywordstring
Optional keyword filter for obligations
euaiact_answer_questionSearch frequently asked questions about the EU AI Act and get best-match answers with article references. Covers classification, deadlines, roles, governance, documentation, risk assessment, penalties, GPAI systemic risk, FRIA, transparency, and sector-specific guidance.1 params

Search frequently asked questions about the EU AI Act and get best-match answers with article references. Covers classification, deadlines, roles, governance, documentation, risk assessment, penalties, GPAI systemic risk, FRIA, transparency, and sector-specific guidance.

Parameters* required
questionstring
User question about the EU AI Act
euaiact_calculate_penaltyCalculates the maximum possible fine for an EU AI Act violation based on violation type, global annual turnover, and SME status. Implements the Art. 99 penalty framework including the SME/startup protection rule (Art. 99(6)). Returns a comparative block so the agent can show t...3 params

Calculates the maximum possible fine for an EU AI Act violation based on violation type, global annual turnover, and SME status. Implements the Art. 99 penalty framework including the SME/startup protection rule (Art. 99(6)). Returns a comparative block so the agent can show t...

Parameters* required
is_smeboolean
Whether the entity is an SME or startup (eligible for lower fines under Art. 99(6))default: false
violation_typestring
Type of AI Act violation: 'prohibited' (Art. 5), 'high_risk' (Annex III obligations), or 'false_info' (misleading regulators)one of prohibited · high_risk · false_info
annual_turnover_eurnumber
Global annual turnover in EUR
euaiact_get_articleRetrieve an operational summary of a specific article of the EU AI Act (Regulation 2024/1689), plus a stable EUR-Lex URL to the canonical text. Supports a subset 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). For a...1 params

Retrieve an operational summary of a specific article of the EU AI Act (Regulation 2024/1689), plus a stable EUR-Lex URL to the canonical text. Supports a subset 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). For a...

Parameters* required
articlestring
Article number (e.g. '5', '6', '50', 'Art. 99'). Case-insensitive; 'Art.' prefix optional.
euaiact_check_gpai_systemic_riskDetermine whether a general-purpose AI model qualifies as a GPAI model with systemic risk under Art. 51. A model is presumed to have high-impact capabilities when cumulative training compute exceeds 10^25 FLOPs (Art. 51(2)). The Commission may also designate models with equiva...3 params

Determine whether a general-purpose AI model qualifies as a GPAI model with systemic risk under Art. 51. A model is presumed to have high-impact capabilities when cumulative training compute exceeds 10^25 FLOPs (Art. 51(2)). The Commission may also designate models with equiva...

Parameters* required
model_namestring
Optional model name for traceability in the response.
training_flopsnumber
Cumulative training compute in FLOPs (e.g. 2e25). Art. 51(2) presumes systemic risk when > 1e25.
commission_designatedboolean
Whether the Commission has formally designated the model as GPAI with systemic risk under Art. 51(1)(b).
euaiact_assess_art6_3_exceptionWalk through the Art. 6(3) exception for Annex III high-risk AI systems. An Annex III system is NOT high-risk if it does not pose a significant risk to health, safety, or fundamental rights, AND falls under one of the four conditions: (a) narrow procedural task, (b) improves p...7 params

Walk through the Art. 6(3) exception for Annex III high-risk AI systems. An Annex III system is NOT high-risk if it does not pose a significant risk to health, safety, or fundamental rights, AND falls under one of the four conditions: (a) narrow procedural task, (b) improves p...

Parameters* required
annex_iii_numberinteger
Annex III category number (1-8). Provide if known — helps the response reference the right rules.
preparatory_taskboolean
Art. 6(3)(d): intended to perform a preparatory task for an assessment relevant to an Annex III use case.
performs_profilingboolean
Does the system perform profiling of natural persons? If true, Art. 6(3) exception is UNAVAILABLE regardless of other conditions (Art. 6(3) second subparagraph).
documented_assessmentboolean
Has the provider documented the Art. 6(3) exception assessment? Required by Art. 6(4) regardless of which condition applies.
narrow_procedural_taskboolean
Art. 6(3)(a): intended to perform a narrow procedural task (e.g. transform unstructured to structured data, classify documents, detect duplicates).
improves_prior_human_activityboolean
Art. 6(3)(b): intended to improve the result of a previously completed human activity (e.g. improve drafting style).
detects_patterns_without_replacing_human_reviewboolean
Art. 6(3)(c): intended to detect decision-making patterns or deviations, not replace/influence human assessment without proper review.
euaiact_annex_iv_checklistReturn the full Annex IV technical documentation requirements that a provider of a high-risk AI system must prepare under Art. 11 before placing the system on the market. Nine items cover: general description, detailed elements and development process, monitoring/functioning/c...2 params

Return the full Annex IV technical documentation requirements that a provider of a high-risk AI system must prepare under Art. 11 before placing the system on the market. Nine items cover: general description, detailed elements and development process, monitoring/functioning/c...

Parameters* required
formatstring
Output shape: 'json' returns structured items; 'checklist' adds a markdown checklist string.one of json · checklistdefault: json
sme_simplifiedboolean
Indicate whether SME-simplified preparation is being used (Art. 11(1) second subparagraph).

MCP Scorecard: 90/100

Eu Ai Act Compliance MCP

⚖️ Need EU AI Act readiness for your system, fast? This MCP is the free tool. For a tailored readiness pack + a second opinion from the team behind the CSOAI charter, book a 30-min Founder Office Hour (£29) → https://meok.ai/work

Part of the MEOK governance platform · meok.ai · csoai.org

MEOK AI Labs PAYG enabled EU AI Act License PyPI

EU AI Act compliance MCP with 404 verbatim articles from EUR-Lex

EU AI Act compliance MCP with 404 verbatim articles from EUR-Lex. Risk classification, 42-point audit, Article 11 docs, penalty calculator. MIT


🚀 Quick Start

# Install via pip
pip install eu_ai_act_compliance_mcp

# Or install via Smithery
npx -y @smithery/cli@latest install eu-ai-act-compliance-mcp --client claude

⚡ Pay-per-call (PAYG) — no subscription

This MCP supports universal pay-per-call billing across the MEOK compliance fleet:

# One-time setup
export MEOK_PAYG_KEY="your_topup_token"

# Every tool call now deducts £0.05 from your balance.
# When balance hits zero, the tool returns a top-up URL.
# Works across all 7 MEOK compliance MCPs with the same token.
  • No subscription — top up once, deduct per call.
  • £0.05/call default (configurable via MEOK_PAYG_RATE_GBP).
  • USDC on Base L2 accepted — set MEOK_X402_RECEIVER and pay via stablecoin.
  • Backward-compatible — when MEOK_PAYG_KEY is unset, behaviour is unchanged.

Get a token: councilof.ai/payg (£10 / £50 / £200 top-up tiers).

✨ Features

  • MCP protocol compliant
  • Easy installation
  • Well-documented API
  • Production-ready
  • Active maintenance

📖 Documentation

  • Full Documentation
  • API Reference
  • EU AI Act Compliance Guide

🛡️ Compliance

This MCP server is built with EU AI Act compliance built-in:

  • ✅ Article 9 — Risk Management System
  • ✅ Article 13 — Transparency & Instructions for Use
  • ✅ Article 15 — Bias Detection & Testing
  • ✅ Article 26 — FRIA Support (where applicable)
  • ✅ Article 50 — AI Content Watermarking (where applicable)

Need help getting compliant? Book a free 15-min diagnostic →

🏢 Enterprise

Need custom development, SLA guarantees, or white-label deployment?

  • Pro: £79/mo — Full MCP suite + EU AI Act tracking
  • Enterprise: £499/mo — Custom dev + SLA + Dedicated support

View Pricing → | Contact Sales →

🤝 Part of the MEOK Ecosystem

This server is part of the MEOK AI Labs ecosystem — 26 PyPI packages · ~16,300 monthly installs.

DomainPurpose
councilof.aiEU AI Act compliance marketplace
safetyof.aiAI safety & monitoring
meok.aiSovereign AI platform
cobolbridge.aiLegacy modernization

📜 License

MIT © CSOAI-ORG


Built with 💜 by MEOK AI Labs · UK Companies House 16939677

Configuration

Add to your claude_desktop_config.json (Claude Desktop) or your MCP client config:

{
  "mcpServers": {
    "eu-ai-act-compliance-mcp": {
      "command": "uvx",
      "args": ["eu-ai-act-compliance-mcp"]
    }
  }
}

Or: pip install eu-ai-act-compliance-mcp then run the eu-ai-act-compliance-mcp command (stdio transport).

Examples

Once configured, ask your assistant, for example:

  • "Use quick_scan to …"
  • "Use deadline_check to …"
  • "Use classify_ai_risk to …"
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Registryactive
Packageeu-ai-act-compliance-mcp
TransportSTDIO
UpdatedJun 10, 2026
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