io.github.vdineshk/ai-compliance-monitor · v1.0.0 · security
io.github.vdineshk/ai-compliance-monitor is healthy: it completed an MCP handshake in 2270 ms and exposes 4 tools.
Regulatory intelligence for AI agents across jurisdictions
Endpoint: https://ai-compliance-monitor.sgdata.workers.dev/mcp (streamable-http)
Repository · JSON · Add to my inventory
| Users (last 30 days) | 0 |
| Handshake | Healthy |
| Auth needed | None |
| Tool count | 4 |
| Latency | 2270 ms |
| Last checked (UTC) | 2026-10-16T17:20:51.208Z |
| Checked (UTC) | Status | Latency | Error |
|---|---|---|---|
| 2026-10-16T17:20:51.208Z | Healthy | 2270 | |
| 2026-10-15T11:20:11.728Z | Healthy | 1373 |
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. |