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Regulatory intelligence for AI agents across jurisdictions
About
Regulatory intelligence for AI agents across jurisdictions
Remote endpoints: streamable-http: https://ai-compliance-monitor.sgdata.workers.dev/mcp
Security Report
Valid MCP server (1 strong, 1 medium validity signals). 3 known CVEs in dependencies (1 critical, 2 high severity) Imported from the Official MCP Registry.
4 tools verified · Open access · 3 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
How to Connect
Remote Plugin
No local installation needed. Your AI client connects to the remote endpoint directly.
Add this to your MCP configuration to connect:
{
"mcpServers": {
"io-github-vdineshk-ai-compliance-monitor": {
"url": "https://ai-compliance-monitor.sgdata.workers.dev/mcp"
}
}
}Documentation
View on GitHubFrom the project's GitHub 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
| Tool | Description |
|---|---|
check_obligations | Given an agent use case + jurisdiction → applicable requirements |
get_regulation_articles | Structured regulation details with evidence requirements |
check_deadline | Enforcement dates, penalties, compliance milestones |
compare_jurisdictions | Side-by-side obligation comparison across regulations |
Quick Start
Connect via MCP
Server URL: https://ai-compliance-monitor.sgdata.workers.dev/mcp
REST API
# Check obligations for a hiring agent
curl "https://ai-compliance-monitor.sgdata.workers.dev/api/obligations?use_case=hiring_screening"
# Get EU AI Act requirements
curl "https://ai-compliance-monitor.sgdata.workers.dev/api/regulations?regulation_id=eu-ai-act"
# Check upcoming deadlines
curl "https://ai-compliance-monitor.sgdata.workers.dev/api/deadlines"
# Compare transparency requirements across jurisdictions
curl "https://ai-compliance-monitor.sgdata.workers.dev/api/compare?category=transparency"
# Service stats
curl "https://ai-compliance-monitor.sgdata.workers.dev/api/stats"
Regulatory Coverage
| Regulation | Jurisdiction | Status | Key Deadline |
|---|---|---|---|
| EU AI Act | European Union | Active | Aug 2, 2026 (high-risk) |
| IMDA Agentic AI Framework | Singapore | Active (voluntary) | Published Jan 2026 |
| Colorado AI Act (SB 24-205) | Colorado, US | Active | Feb 1, 2026 (enforced) |
Use Cases Covered
- Hiring/recruitment screening
- Credit scoring
- Customer service agents
- Content moderation
- Medical triage
- Autonomous coding agents
- Financial trading agents
Deployment (Self-Host)
Prerequisites
- Cloudflare account with Workers enabled
- Wrangler CLI (
npm install -g wrangler) CLOUDFLARE_API_TOKENandCLOUDFLARE_ACCOUNT_IDenvironment variables
Deploy
# Clone the repo
git clone https://github.com/vdineshk/ai-compliance-monitor.git
cd ai-compliance-monitor
# Install dependencies
npm install
# Create D1 database
npx wrangler d1 create ai-compliance-monitor-db
# Copy the database_id from output into wrangler.toml
# Run migrations
npx wrangler d1 migrations apply ai-compliance-monitor-db --remote
# Seed regulatory data
npx wrangler d1 execute ai-compliance-monitor-db --remote --file=./migrations/0002_seed_data.sql
# Deploy
npx wrangler deploy
Dry Run (verify free-tier compliance)
npx wrangler deploy --dry-run
Data Model
- Regulations: Top-level regulatory frameworks (EU AI Act, IMDA, Colorado)
- Obligations: Specific requirements within each regulation, classified by category
- Deadlines: Enforcement dates with penalty information
- Obligation Mappings: Cross-jurisdiction equivalence mappings
- Use Case Obligations: Maps agent use cases to applicable obligations
Part of the Dominion Agent Economy Engine
This server feeds behavioral interaction data to the Dominion Observatory, the trust scoring layer for the AI agent economy.
License
MIT
Contact
Built by @vdineshk | Singapore
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