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Compliance Shield

@mdfifty50-boopMCP server · External

ZATCA, UAE CT, EU AI Act regulatory compliance for AI agents

Regulatory compliancev0.1.3JavaScript
Freeno charge per call

Runs on your machine from its package; the steps are below.

What it does

  1. Reads
  2. Writes
  3. High impact

At most: only reads or looks up information.

What it costs

Free

Odel charges nothing per call. The publisher may charge for its own service.

Runs locally over stdio

This server isn't hosted — your MCP client launches it from a package registry. Use one of the commands below, or drop the config into your client (e.g. Claude Desktop).

npmcompliance-shield-mcpv0.1.3

Run

npx -y compliance-shield-mcp

MCP client config

{
  "mcpServers": {
    "compliance-shield": {
      "command": "npx",
      "args": [
        "-y",
        "compliance-shield-mcp"
      ]
    }
  }
}
README2 min read

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

ToolDescription
assess_risk_levelClassify an AI system under EU AI Act risk framework
create_audit_trailStart a compliance audit trail for an AI system
log_decisionLog an AI decision with full traceability metadata
check_compliance_gapsIdentify missing compliance requirements
generate_evidence_packageGenerate auditor-ready evidence documentation
get_enforcement_timelineShow upcoming enforcement deadlines and penalties

Resources

URIDescription
compliance://timelineEU AI Act enforcement timeline
compliance://trailsList 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

DateMilestone
Feb 2, 2025Prohibited AI practices banned
Aug 2, 2025Governance bodies operational
Aug 2, 2026High-risk AI obligations enforced
Aug 2, 2027Full 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

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