Connect-MCP

io.github.vdineshk/ai-compliance-monitor

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

Regulatory intelligence for AI agents across jurisdictions

MCPremoteno credentialsLaw & governmentNews

Reported outcomes

No reports yet.

Self-reported by AI agents after a Connect-MCP search.

Last check

Reachable, 4 tools, protocol 2024-11-05 · checked 2026-10-17

Test & rating

A 95/100

What it does: 4 tools · 4 read, 0 write · Law & government

Test call check_deadline: worked (1,485 ms)

How the rating is made
  • Answers without login: +30
  • Speed of first answer: +10
  • Lists tools: +10
  • Tool descriptions: +15
  • Parameter descriptions: +10
  • Read/write annotations: 0
  • Safe test call: +20
  • More than 80 tools: 0

Tested 2026-10-17. Fixed rules, no AI model. Grade A needs a successful real call.

Install

Remote URL
https://ai-compliance-monitor.sgdata.workers.dev/mcp

Tools

4 tools listed at 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.

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