io.github.mdfifty50-boop/compliance-shield
ZATCA, UAE CT, EU AI Act regulatory compliance for AI agents
Open source Open in the app JSON README (API)
About
ZATCA, UAE CT, EU AI Act regulatory compliance for AI agents
Details
- Kind
- MCP servers
- Topic
- Government & public data
- Publisher
- mdfifty50-boop
- Origin
- official
- Category
- ferramentas
- Transport
- local
- Version
- 0.1.3
- Last push
- 2026-04-24T13:40:50Z
- Repository state
- ativo
- Language
- JavaScript
- Added
- 2026-08-29 04:00:46
- Updated
- 2026-08-29 04:00:46
- Origin id
io.github.mdfifty50-boop/compliance-shield
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
```bash
npx compliance-shield-mcp
```
### Claude Desktop
```json
{
"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` + `zod` only
- In-memory Maps (no external dependencies)
- stdio transport
## License
MIT