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regulatory-arbitrage-detection-mcp

MCP Tool

apifyforge/regulatory-arbitrage-detection-mcp

Regulatory arbitrage detection for AI agents, compliance teams, and policy analysts — this MCP server quantifies cross-jurisdictional regulatory divergence using 8 mathematically rigorous tools backed by 16 live data sources.

Install

$ npx loaditout add apifyforge/regulatory-arbitrage-detection-mcp

Platform-specific configuration:

.claude/settings.json
{
  "mcpServers": {
    "regulatory-arbitrage-detection-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "regulatory-arbitrage-detection-mcp"
      ]
    }
  }
}

Add the config above to .claude/settings.json under the mcpServers key.

About

Regulatory Arbitrage Detection MCP

> [View on ApifyForge](https://apifyforge.com/actors/mcp-servers/regulatory-arbitrage-detection-mcp) | [Use on Apify Store](https://apify.com/ryanclinton/regulatory-arbitrage-detection-mcp)

---

Quick Start

Add to your MCP client (Claude Desktop, Cursor, Windsurf):

{
  "mcpServers": {
    "regulatory-arbitrage-detection-mcp": {
      "url": "https://ryanclinton--regulatory-arbitrage-detection-mcp.apify.actor/mcp"
    }
  }
}

---

Regulatory arbitrage detection for AI agents, compliance teams, and policy analysts — this MCP server quantifies cross-jurisdictional regulatory divergence using 8 mathematically rigorous tools backed by 16 live data sources. It connects to federal registers, corporate registries in 6 countries, financial regulators, and sanctions databases to answer questions no single API can: how far apart are two regulatory regimes, which compliance path is cheapest, and which regulators show signs of industry capture.

The server runs in Apify Standby mode and exposes a single /mcp endpoint compatible with Claude, Cursor, Windsurf, and any MCP client. Each tool call fires up to 16 Apify actors in parallel, builds a cross-jurisdictional regulatory network with Fellegi-Sunter entity resolution, and applies the appropriate algorithm — Sinkhorn-Knopp optimal transport, MILP branch-and-bound, supermodular game theory, Hawkes processes, or Bayesian structural time series — returning structured JSON you can act on immediately.

What data can you access?

| Data Point | Source | Example | |---|---|---| | 📋 Federal proposed rules and final rulemakings | Federal Register | "FDIC Capital Requirements Final Rule" | | 🏛️ Congressional bills and legislative status | Congress Bill Tracker | "HR 4173 Dodd-Frank Act Section 619" | | 📣 Consumer financial enforcement actions | CFPB Complaints | "Enforcement action against Pinnacle Lending LLC" | | 🏢 UK corporate registrations and officer filings |

Tags

ai-toolsapifyclaudecursormcpmcp-servermodel-context-protocolwindsurf

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Quality Signals

0
Installs
Last updated25 days ago
Security: AREADME

Safety

Risk Levelmedium
Data Access
read
Network Accessnone

Details

Sourcegithub-crawl
Last commit3/21/2026
View on GitHub→

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