Insurance Underwriting Intelligence MCP Server
Property risk assessment via multi-peril data integration from 8 sources.
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Overview
Insurance Underwriting Intelligence MCP Server automates the research process for commercial P&C underwriters, actuarial teams, and risk engineers. By aggregating live data from eight government sources including FEMA, USGS, and NOAA, it provides a comprehensive risk profile for property locations in one tool call. Users receive a Composite Peril Score, a four-tier risk classification, premium modifiers, and long-term climate trajectory projections. This replaces the manual gathering of disaster, seismic, environmental, and crime data, which typically takes nearly an hour of work per property.
Our verdict
This server carries a high-risk rating with a security score of 24/100, primarily due to it being a community-maintained project rather than an official vendor release. Furthermore, the absence of read-only mode, which grants the server full write access upon installation, necessitates caution. Prospective users should audit the code before implementation, as it has not undergone editorial review and lacks the security assurances of an enterprise-supported tool.
- Integrates eight disparate government data sources into one output.
- Calculates property-specific risk tiers and premium modifiers instantly.
- Zero direct dependencies minimize potential supply-chain vulnerabilities.
- Provides multi-horizon climate projections for 5, 10, and 25 years.
- Community-maintained with no official vendor support or verification.
- Lacks a read-only mode, granting full write access by default.
- Currently missing an editorial security review.
- Operates without OAuth support for authentication.
Tools
| Tool | Description | Risk |
|---|---|---|
| generate_underwriting_brief | Returns a structured risk brief for a commercial property submission. | low |
| project_climate_trajectory | Projects risk at 5, 10, and 25-year horizons using historical FEMA disaster frequency trends. | low |
| assess_location_risk | Performs rapid portfolio-level hazard aggregation to identify geographic peril concentration. | low |
| evaluate_seismic_exposure | Identifies seismic hazard proximity for properties using a configurable radius. | low |
| check_flood_risk | Combines active flood warnings with historical FEMA flood disaster records. | low |
| measure_environmental_liability | Provides location-specific air quality readings against WHO guidelines. | low |
| analyze_disaster_history | Searches for FEMA disaster declarations for US states and counties. | low |
| score_crime_proximity | Evaluates crime exposure for UK addresses using UK Police data. | low |
Compatibility
| Client | Local | Docker | Remote | Read-only |
|---|---|---|---|---|
| Claude Desktop | ||||
| Cursor | ||||
| VS Code | ||||
| Windsurf | ||||
| ChatGPT |
Frequently asked questions
›What is the primary method to configure this server in an MCP client?
You must add the server to your MCP client configuration file by mapping 'insurance-underwriting-intelligence-mcp' to the URL https://ryanclinton--insurance-underwriting-intelligence-mcp.apify.actor/mcp.
›Does this server require external API keys or vendor subscriptions?
No, there are no external vendor subscriptions required. You pay only for the individual assessments performed through the Apify platform.
›Can I adjust the sensitivity of the seismic analysis?
Yes, the evaluate_seismic_exposure tool supports a configurable radiusKm parameter, which defaults to 100km if not specified.
›How does the server handle individual source failures?
The server uses a parallel request structure where all eight data sources are queried via Promise.allSettled, ensuring that a failure in one data source does not block the retrieval of data from the others.
›Is it possible to automate risk rescoring for my entire portfolio?
Yes, you can use Apify's scheduler to trigger portfolio-wide risk rescoring automatically at set intervals, such as during annual policy renewals.
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