Insurance Underwriting Intelligence

@apifyforge

About Insurance Underwriting Intelligence

Insurance underwriting intelligence for commercial P&C teams — this MCP server delivers multi-peril risk assessment for any property location using 8 live government data sources.

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "insurance-underwriting-intelligence-mcp": {
      "url": "https://ryanclinton--insurance-underwriting-intelligence-mcp.apify.actor/mcp"
    }
  }
}

Tools

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Overview

What is Insurance Underwriting Intelligence?

Insurance Underwriting Intelligence is an MCP server for commercial P&C insurance teams that delivers multi-peril risk assessment for any property location. It queries 8 live government data sources in parallel and returns a Composite Peril Score (0–100), a four-tier risk classification (Preferred/Standard/Substandard/Decline), a premium modifier, and actionable underwriting notes from a single tool call. It is designed for P&C underwriters, actuarial teams, reinsurers, and risk engineers.

How to use Insurance Underwriting Intelligence?

Add the server URL https://ryanclinton--insurance-underwriting-intelligence-mcp.apify.actor/mcp to your MCP client (Claude Desktop, Cursor, Windsurf) with an Apify API token. Then ask your AI assistant to run a risk assessment by providing a property address or region. The server returns a structured JSON brief; the AI summarises key signals in plain language.

Key features of Insurance Underwriting Intelligence

8 parallel government data sources queried simultaneously
Composite Peril Score (0–100) from four weighted scoring models
Four risk tier classifications: Preferred, Standard, Substandard, Decline
Premium modifier output from 0.8 (discount) to 2.5 (maximum surcharge)
Automatic geocoding of addresses to latitude/longitude
Underwriting notes with decision guidance and peril flags
Spending limit enforcement via Actor.charge() check before every tool call

Use cases of Insurance Underwriting Intelligence

Commercial property underwriting: triage a day’s submissions by composite score in minutes
Actuarial climate trajectory modeling: project risk at 5, 10, and 25-year horizons from historical FEMA data
Reinsurance portfolio concentration analysis: identify geographic hazard convergence across a property schedule
Risk engineering pre-survey prioritization: use seismic and flood tools to identify highest-hazard properties needing inspection

FAQ from Insurance Underwriting Intelligence

What data sources does the Insurance Underwriting Intelligence MCP server use?

It queries 8 live government data sources: FEMA Disaster Declarations, USGS Earthquake Search, NOAA Weather Alerts, UK Environment Agency Flood Warnings, UK Police Crime Data, OpenAQ Air Quality, UK Land Registry, and Nominatim OpenStreetMap

Frequently asked questions

What data sources does the Insurance Underwriting Intelligence MCP server use?

Comments

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