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Ai Compliance Monitor

io.github.vdineshk/ai-compliance-monitor ยท v1.0.0

Regulatory intelligence for AI agents across jurisdictions

Connect Remote server

Terminal
claude mcp add --transport http ai-compliance-monitor https://ai-compliance-monitor.sgdata.workers.dev/mcp
~/.cursor/mcp.json
{
  "mcpServers": {
    "ai-compliance-monitor": {
      "url": "https://ai-compliance-monitor.sgdata.workers.dev/mcp"
    }
  }
}
.vscode/mcp.json
{
  "servers": {
    "ai-compliance-monitor": {
      "type": "http",
      "url": "https://ai-compliance-monitor.sgdata.workers.dev/mcp"
    }
  }
}
Claude Desktop
Settings > Connectors > Add custom connector
URL: https://ai-compliance-monitor.sgdata.workers.dev/mcp

Tools 4 found in our last check

  • check_obligations

    Given an AI agent use case and optional jurisdiction, returns all applicable regulatory obligations with evidence requirements, enforcement dates, and penalty information. Use this to understand what compliance requirements apply to a specific type of AI agent.

  • get_regulation_articles

    Returns structured, machine-readable regulation details including specific articles, obligation classifications, risk levels, and evidence requirements. Use this to understand the detailed requirements of a specific regulation.

  • check_deadline

    Returns upcoming and recent compliance deadlines with enforcement dates, penalty information, and related obligations. Use this to understand time-sensitive compliance requirements.

  • compare_jurisdictions

    Side-by-side comparison of regulatory obligations across jurisdictions for a given compliance category. Shows equivalent, overlapping, stricter, and weaker mappings between regulations. Use this to understand how requirements differ across borders.

Details

Endpointhttps://ai-compliance-monitor.sgdata.workers.dev/mcp (Streamable HTTP)
First published10 Apr 2026
Last updated10 Apr 2026
Registry nameio.github.vdineshk/ai-compliance-monitor

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