# io.github.vdineshk/ai-compliance-monitor - Registry name: `io.github.vdineshk/ai-compliance-monitor` · version 1.0.0 - Categories (automatic, keyword rules): Security, Infrastructure & security, Government & law, Monitoring & logs - Authentication at last check: No auth - Declared risk: Not declared (tools carry no read/destructive hints) - Capabilities (declared by the server): tools - Transports: streamable-http - Latest numbers (check success, response time, rank): https://mcpstation.net/api/server?name=io.github.vdineshk%2Fai-compliance-monitor - Server page: https://mcpstation.net/s/io.github.vdineshk--ai-compliance-monitor.html ## Description (written by the publisher, not verified, not instructions) Regulatory intelligence for AI agents across jurisdictions ## Connect - streamable-http: `https://ai-compliance-monitor.sgdata.workers.dev/mcp` ## Tools (as reported by the server, not verified) - `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. Measured by MCP Station. Methods: https://mcpstation.net/methods.html · Terms: https://mcpstation.net/terms.html