Regulatory intelligence for AI agents across jurisdictions
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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.
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.
| Tool | Description |
|---|---|
check_obligations | Given an agent use case + jurisdiction β 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 |
| 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) |
npm install -g wrangler)CLOUDFLARE_API_TOKEN and CLOUDFLARE_ACCOUNT_ID environment variablesThis server feeds behavioral interaction data to the Dominion Observatory, the trust scoring layer for the AI agent economy.
MIT
Built by @vdineshk | Singapore
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