
Compliance Shield
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.
- tools
- 6
- transport
- STDIO
- last updated
- Apr 24, 2026
Tools
6 toolsPublic tool metadata for what this MCP can expose to an agent.
assess_risk_levelClassify an AI system under EU AI Act risk framework
Classify an AI system under EU AI Act risk framework
No parameter schema in public metadata yet.
create_audit_trailStart a compliance audit trail for an AI system
Start a compliance audit trail for an AI system
No parameter schema in public metadata yet.
log_decisionLog an AI decision with full traceability metadata
Log an AI decision with full traceability metadata
No parameter schema in public metadata yet.
check_compliance_gapsIdentify missing compliance requirements
Identify missing compliance requirements
No parameter schema in public metadata yet.
generate_evidence_packageGenerate auditor-ready evidence documentation
Generate auditor-ready evidence documentation
No parameter schema in public metadata yet.
get_enforcement_timelineShow upcoming enforcement deadlines and penalties
Show upcoming enforcement deadlines and penalties
No parameter schema in public metadata yet.
Sponsors
Readme
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
Details
- Repository
- github.com/mdfifty50-boop/compliance-shield-mcp
- Package
compliance-shield-mcp- Transport
- STDIO
- Registry
- MCP registry, active