Summary
If you're deploying AI agents in the EU or handling regulated use cases, this gives you audit trail infrastructure that maps directly to EU AI Act requirements. It exposes six tools: classify your system's risk level, create audit trails, log decisions with full metadata (input, output, reasoning, human oversight), run gap analysis against specific articles, and generate evidence packages for regulators. You also get enforcement timeline tracking since high-risk obligations kick in August 2026 with fines up to 7% of global revenue. Everything runs in-memory over stdio with no external dependencies. Reach for this when you need compliance documentation that survives an audit, not just checkboxes.
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compliance-shield-mcp
EU AI Act compliance audit trails and evidence generation for AI agent systems.
EU AI Act enforcement begins August 2, 2026. Fines up to 35M EUR or 7% of global annual turnover.
What it does
Runtime compliance layer that plugs into any MCP-compatible AI system to provide:
- Risk Classification — Classify AI systems as Unacceptable, High, Limited, or Minimal risk per the EU AI Act framework
- Audit Trails — Create and maintain decision logs with full traceability (input, output, reasoning, human oversight, model, confidence)
- Gap Analysis — Identify missing compliance requirements with specific article references and actionable recommendations
- Evidence Packages — Generate auditor-ready documentation suitable for regulatory submission
- Enforcement Timeline — Track upcoming deadlines with days remaining and penalty structure
Install
npx compliance-shield-mcp
Claude Desktop
{
"mcpServers": {
"compliance-shield": {
"command": "npx",
"args": ["compliance-shield-mcp"]
}
}
}
Tools
| Tool | Description |
|---|---|
assess_risk_level | Classify an AI system under EU AI Act risk framework |
create_audit_trail | Start a compliance audit trail for an AI system |
log_decision | Log an AI decision with full traceability metadata |
check_compliance_gaps | Identify missing compliance requirements |
generate_evidence_package | Generate auditor-ready evidence documentation |
get_enforcement_timeline | Show upcoming enforcement deadlines and penalties |
Resources
| URI | Description |
|---|---|
compliance://timeline | EU AI Act enforcement timeline |
compliance://trails | List all active audit trails |
Quick Start
1. assess_risk_level → Know your risk classification
2. create_audit_trail → Start logging
3. log_decision (repeatedly) → Record every AI decision
4. check_compliance_gaps → Find what's missing
5. generate_evidence_package → Hand to your auditor
EU AI Act Key Dates
| Date | Milestone |
|---|---|
| Feb 2, 2025 | Prohibited AI practices banned |
| Aug 2, 2025 | Governance bodies operational |
| Aug 2, 2026 | High-risk AI obligations enforced |
| Aug 2, 2027 | Full enforcement for all AI systems |
Architecture
- Pure Node.js, ES modules
@modelcontextprotocol/sdk+zodonly- In-memory Maps (no external dependencies)
- stdio transport
License
MIT
Featured
Keep your Mac awake while Claude Code and 40+ AI agents run. Sleeps when they're idle.
One time payment $9 →Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →On Capafy, your Skill runs online 24/7 as an agent product, and you get paid every time someone uses it.
Start earning →