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EU AI Act compliance audit trails and evidence generation for AI agent systems — risk classification
EU AI Act compliance audit trails and evidence generation for AI agent systems — risk classification
compliance-shield-mcp is a well-structured EU AI Act compliance auditing tool with minimal security concerns. The server uses only essential dependencies (@modelcontextprotocol/sdk and zod), implements input validation via Zod schemas, and operates entirely in-memory without external data exfiltration. No hardcoded credentials, malicious patterns, or dangerous operations were detected. Minor code quality observations around error handling and logging do not warrant score reduction given the straightforward purpose and low permission scope. Supply chain analysis found 4 known vulnerabilities in dependencies (0 critical, 3 high severity). Package verification found 1 issue.
4 files analyzed · 7 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
This plugin requests these system permissions. Most are normal for its category.
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-mdfifty50-boop-compliance-shield": {
"args": [
"-y",
"compliance-shield-mcp"
],
"command": "npx"
}
}
}From the project's GitHub README.
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.
Runtime compliance layer that plugs into any MCP-compatible AI system to provide:
npx compliance-shield-mcp
{
"mcpServers": {
"compliance-shield": {
"command": "npx",
"args": ["compliance-shield-mcp"]
}
}
}
| 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 |
| URI | Description |
|---|---|
compliance://timeline | EU AI Act enforcement timeline |
compliance://trails | List all active audit trails |
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
| 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 |
@modelcontextprotocol/sdk + zod onlyMIT
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