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io.github.vdineshk/ai-compliance-monitor

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

No registry update 90+ days

Measured by MCP Station

Last check	Reachable
Checked at	—
Check success 7 / 30 days	—
First-try success 30 days	—
Median response	—
Lookups 30 days	—
Authentication	No auth
MCP version	2024-11-05
Rank score	—
Declared risk	Not declared (tools carry no read/destructive hints)
Capabilities declared	tools
Tool definitions	4 tools · with description 100% · input schema is an object 100% · read/destructive hints 0%

Regulatory intelligence for AI agents across jurisdictions

streamable-http · https://ai-compliance-monitor.sgdata.workers.dev/mcp

claude mcp add --transport http ai-compliance-monitor https://ai-compliance-monitor.sgdata.workers.dev/mcp

{
  "mcpServers": {
    "ai-compliance-monitor": {
      "url": "https://ai-compliance-monitor.sgdata.workers.dev/mcp"
    }
  }
}

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.

Repository · JSON · Text for agents · Registry updated 2026-04-10