Ai Regulations Mcp Server

Created By
Fractionalytics3 months ago
Structured, queryable US AI and privacy law data via MCP. Access 15 curated laws with 136 compliance obligations through natural language queries.
Overview

AI Regulations MCP Server

Package Name: ai-reg-mcp-server

npm URL: https://www.npmjs.com/package/ai-reg-mcp-server

Description

Structured, queryable US AI and privacy law data via Model Context Protocol. Provides instant access to 15 curated AI regulations including Colorado AI Act, EU AI Act, California ADMT, NYC LL-144, and more. Access 136 structured compliance obligations with plain-language explanations through natural language queries.

Tools Provided

  1. search_laws - Search laws by jurisdiction, keyword, status, or effective date
  2. get_obligations - Get detailed compliance obligations from specific laws
  3. compare_jurisdictions - Compare requirements across multiple jurisdictions
  4. get_changes - View regulatory changes over time

Testing Account: Free API key available instantly at https://ai-reg-api.vercel.app (sign in with GitHub, get key instantly)

Documentation: https://github.com/Fractionalytics/ai-reg-mcp#readme

Support Email: david@fractionalytics.io

License: MIT

Use Cases

1. AI Developer Pre-Launch Compliance Check An AI startup is about to ship a consumer-facing recommendation system in Colorado and California.

"My company is deploying an AI recommendation system for consumers in Colorado and California. What disclosure and transparency obligations apply to us as the deployer, and what deadlines do we need to hit?"

The MCP queries 136 structured obligations filtered by applies_to: deployer across CO-SB24-205 and CA-CCPA-ADMT, returning cited requirements with deadlines and penalty ranges — not a general summary, but actionable compliance input.

2. Legal Team Cross-Jurisdiction Comparison In-house counsel needs to draft a single disclosure policy covering multiple state laws.

"Compare the AI disclosure and transparency requirements across Colorado, New York City, Illinois, and California. What language do they have in common, and where do they conflict?"

compare_jurisdictions surfaces where requirements overlap (e.g., plain-language disclosure) vs. where they diverge (e.g., NYC's bias audit requirement vs. Colorado's impact assessment) — a gap analysis that normally takes a paralegal a day.

3. GRC Team Regulatory Change Monitoring A compliance manager needs to brief executives on what's changed in AI law over the last quarter.

"What AI regulatory changes have happened in the last 90 days? Which ones affect companies that use AI in employment decisions?"

get_changes returns 66 tracked changelog entries filtered by date and change type. Claude cross-references which laws touch employment AI and surfaces only relevant changes — an executive briefing in seconds instead of monitoring a dozen legislative feeds.

Server Config

{
  "mcpServers": {
    "ai-reg-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "ai-reg-mcp-server"
      ],
      "env": {
        "AI_REG_API_KEY": "aireg_live_your_key_here"
      }
    }
  }
}
Project Info
Created At
3 months ago
Updated At
3 months ago
Author Name
Fractionalytics
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