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Ai Compliance Monitor

vdineshk/ai-compliance-monitor

Gives your AI agent runtime access to compliance requirements across the EU AI Act, Singapore's IMDA framework, and Colorado SB 24-205. Exposes four tools: check_obligations maps use cases like hiring or credit scoring to specific regulatory articles, get_regulation_articles returns structured requirements with evidence needs, check_deadline surfaces enforcement dates and penalties, and compare_jurisdictions does side-by-side analysis. Runs on Cloudflare Workers with a D1 backend containing obligation mappings, deadlines, and cross-jurisdiction equivalences. Reach for this if you're building agents that operate across borders and need to answer "what logging does Article 12 require" or "does Singapore mandate human escalation for this use case" without manual legal research.

tools
4
transport
HTTP
last updated
Apr 10, 2026
View on GitHub

Install

From registry metadata
$ npx add-mcp https://ai-compliance-monitor.sgdata.workers.dev/mcp --name ai-compliance-monitor

Run in your terminal. add-mcp asks which agents to add it to (Claude Code, Codex, Cursor and more). Add -g to install it for every project.

Review the command, arguments and environment values before installing. MCP servers run with your local permissions.

Other ways

Claude Code

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

Run in your terminal. Add --scope user to make it available in every project.

Tools

Verified live · 4 tools

Verified live against the running server on Nov 6, 2026.

check_obligationsGiven 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.2 params

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.

Parameters* required
jurisdiction_codestring
Optional jurisdiction code to filter by. Examples: EU, SG, US-CO. Omit to get all jurisdictions.
use_case*string
The AI agent use case to check. Examples: hiring_screening, credit_scoring, customer_service, content_moderation, medical_triage, autonomous_coding, financial_trading
get_regulation_articlesReturns 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.2 params

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.

Parameters* required
categorystring
Optional filter by obligation category. Options: transparency, record_keeping, human_oversight, risk_assessment, incident_reporting, data_governance, monitoring, audit
regulation_id*string
The regulation identifier. Options: eu-ai-act, sg-imda-agentic, co-ai-act
check_deadlineReturns upcoming and recent compliance deadlines with enforcement dates, penalty information, and related obligations. Use this to understand time-sensitive compliance requirements.3 params

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

Parameters* required
include_passedboolean
Whether to include deadlines that have already passed. Default: false
jurisdiction_codestring
Optional jurisdiction code to filter by. Examples: EU, SG, US-CO
months_aheadnumber
Number of months ahead to look for upcoming deadlines. Default: 12
compare_jurisdictionsSide-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.2 params

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.

Parameters* required
category*string
The obligation category to compare. Options: transparency, record_keeping, human_oversight, risk_assessment, incident_reporting, data_governance, monitoring, audit
jurisdictionsarray
Optional list of jurisdiction codes to compare. Default: all available. Examples: ["EU", "SG", "US-CO"]

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Readme

AI Compliance Monitor

Structured regulatory intelligence for AI agents operating across jurisdictions.

The first MCP server purpose-built for AI agent compliance. Check obligations, deadlines, and cross-jurisdiction requirements for the EU AI Act, Singapore IMDA Agentic AI Framework, and Colorado AI Act.

Why This Exists

AI agents operating across borders face a fragmented regulatory landscape. The EU AI Act requires automatic logging (Article 12). Singapore's IMDA framework mandates escalation protocols. Colorado demands impact assessments. No existing tool maps agent behavior to specific regulatory requirements across jurisdictions.

This server provides machine-readable, structured regulatory intelligence that AI agents can query at runtime to understand their compliance obligations.

MCP Tools

View the full README on GitHub

Details

Repository
github.com/vdineshk/ai-compliance-monitor
Category
Monitoring & Observability
Transport
HTTP
Registry
MCP registry, active
Tools verified
Nov 6, 2026

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