io.github.vdineshk/ai-compliance-monitor
Regulatory intelligence for AI agents across jurisdictions
Que pouvez-vous faire avec io.github.vdineshk/ai-compliance-monitor ?
- Hiring/recruitment screening
- Credit scoring
- Customer service agents
- Content moderation
- Medical triage
- Autonomous coding agents
- Financial trading agents
Installation
Ajoutez ceci à la configuration MCP de votre client (Claude Desktop : claude_desktop_config.json ; Cursor : .cursor/mcp.json ; VS Code et les autres utilisent la même forme « mcpServers »).
claude mcp add --transport http ai-compliance-monitor 'https://ai-compliance-monitor.sgdata.workers.dev/mcp'
{
"mcpServers": {
"ai-compliance-monitor": {
"type": "http",
"url": "https://ai-compliance-monitor.sgdata.workers.dev/mcp"
}
}
}
Documentation
Tirée du README du projet sur GitHub, actualisée chaque semaine. Les liens ouvrent GitHub.
Sommaire
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
Questions fréquentes
Qu'est-ce que io.github.vdineshk/ai-compliance-monitor ?
Regulatory intelligence for AI agents across jurisdictions
Comment installer io.github.vdineshk/ai-compliance-monitor ?
Il fonctionne comme serveur distant. Dans Claude Code : claude mcp add --transport http ai-compliance-monitor 'https://ai-compliance-monitor.sgdata.workers.dev/mcp'. Pour les autres clients, collez la configuration JSON de cette page dans leurs réglages MCP.
Faut-il une clé API pour io.github.vdineshk/ai-compliance-monitor ?
Son entrée au registre n'indique aucune clé ni secret obligatoire. Certaines fonctions peuvent tout de même demander un compte auprès du service auquel il se connecte.
io.github.vdineshk/ai-compliance-monitor est-il open source ?
Son code est public sur GitHub, mais le dépôt ne déclare pas de licence standard.
Qui maintient io.github.vdineshk/ai-compliance-monitor ?
Il est publié par vdineshk. AI.tn le référence sans le maintenir ni le recommander.
Issu du registre MCP officiel. Être listé n'est pas une recommandation : vérifiez le code et les permissions d'un serveur avant de lui donner accès à vos données.