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io.github.vdineshk/ai-compliance-monitor

Regulatory intelligence for AI agents across jurisdictions

Open source Repository Open in the app JSON README (API)

About

Regulatory intelligence for AI agents across jurisdictions

Details

Kind
MCP servers
Topic
Government & public data
Publisher
vdineshk
Origin
official
Category
ferramentas
Transport
http
Version
1.0.0
Last push
2026-04-10T22:55:15Z
Repository state
ativo
Language
TypeScript
Added
2026-08-29 04:01:38
Updated
2026-08-29 04:01:38
Origin id
io.github.vdineshk/ai-compliance-monitor

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

```bash
# 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_TOKEN` and `CLOUDFLARE_ACCOUNT_ID` environment variables

### Deploy

```bash
# 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)
```bash
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](https://dominion-observatory.sgdata.workers.dev/mcp), the trust scoring layer for the AI agent economy.

## License

MIT

## Contact

Built by [@vdineshk](https://github.com/vdineshk) | Singapore

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