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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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
descriptionstringFree-text description of the AI system and its functionalities
rolestringone of
provider · deployer · unknowndefault: unknownsignalsobjectuse_casestringSpecific context where the system is deployed
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
areastringOptional filter by compliance area (e.g. 'GPAI', 'high-risk', 'prohibited')
only_upcomingbooleanIf 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
filter_keywordstringOptional keyword filter for obligations
risk_levelstringAI system risk level. Use 'gpai' for general-purpose AI model obligations (Art. 51-56).one of
high-risk · limited · minimal · gpairolestringProvider or deployer roleone of
provider · deployereuaiact_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
questionstringUser 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
annual_turnover_eurnumberGlobal annual turnover in EUR
is_smebooleanWhether the entity is an SME or startup (eligible for lower fines under Art. 99(6))default: false
violation_typestringType of AI Act violation: 'prohibited' (Art. 5), 'high_risk' (Annex III obligations), or 'false_info' (misleading regulators)one of
prohibited · high_risk · false_infoeuaiact_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
articlestringArticle 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
commission_designatedbooleanWhether the Commission has formally designated the model as GPAI with systemic risk under Art. 51(1)(b).
model_namestringOptional model name for traceability in the response.
training_flopsnumberCumulative training compute in FLOPs (e.g. 2e25). Art. 51(2) presumes systemic risk when > 1e25.
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_numberintegerAnnex III category number (1-8). Provide if known — helps the response reference the right rules.
detects_patterns_without_replacing_human_reviewbooleanArt. 6(3)(c): intended to detect decision-making patterns or deviations, not replace/influence human assessment without proper review.
documented_assessmentbooleanHas the provider documented the Art. 6(3) exception assessment? Required by Art. 6(4) regardless of which condition applies.
improves_prior_human_activitybooleanArt. 6(3)(b): intended to improve the result of a previously completed human activity (e.g. improve drafting style).
narrow_procedural_taskbooleanArt. 6(3)(a): intended to perform a narrow procedural task (e.g. transform unstructured to structured data, classify documents, detect duplicates).
performs_profilingbooleanDoes the system perform profiling of natural persons? If true, Art. 6(3) exception is UNAVAILABLE regardless of other conditions (Art. 6(3) second subparagraph).
preparatory_taskbooleanArt. 6(3)(d): intended to perform a preparatory task for an assessment relevant to an Annex III use case.
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
formatstringOutput shape: 'json' returns structured items; 'checklist' adds a markdown checklist string.one of
json · checklistdefault: jsonsme_simplifiedbooleanIndicate whether SME-simplified preparation is being used (Art. 11(1) second subparagraph).
Verification is free and public: signed measurement cards and live verification at https://councilof.ai — measurement, not certification.
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,
Part of the MEOK governance platform · councilof.ai · csoai.org
EU AI Act measurement corpus — 417 frozen provisions at provision-level granularity (the Act has 113 Articles; our corpus is the finer-grained provision map)
EU AI Act measurement corpus — 417 frozen provisions at provision-level granularity (the Act has 113 Articles; our corpus is the finer-grained provision map). 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_RECEIVERand pay via stablecoin. - Backward-compatible — when
MEOK_PAYG_KEYis 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
Honesty register (2026-09-02)
Live authority is GET https://councilof.ai/api/gspc — cite totals.public_count and totals.lid from that payload. Do not type axis counts into this README.
- Measurement, not certification. CSOAI Ltd measures and signs; it does not certify, accredit, or act as a notified body.
- MEOK.ai is a shelf / frontend, not a second Council. Printers and agents must read the live GSPC endpoint — never invent scores, never wrangler a stamp.
- Prefer honest UNCHECKABLE over a fake stamp. This package does not certify EU AI Act compliance.
🏢 Enterprise
Need custom development, SLA guarantees, or white-label deployment?
View Pricing → | Contact Sales →
🤝 Part of the MEOK Ecosystem
This server is part of the Council of AI ecosystem — 26 PyPI packages · ~public measurement tools.
| Domain | Purpose |
|---|---|
| councilof.ai | Independent measurement board — live GET /api/gspc |
| safetyof.ai | AI safety & monitoring |
| councilof.ai | Shelf / frontend (not a second Council) |
| cobolbridge.ai | Legacy modernization |
📜 License
MIT © CSOAI-ORG
Built with 💜 by Council of AI · 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_scanto …" - "Use
deadline_checkto …" - "Use
classify_ai_riskto …"
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