Infrastructure & Location Risk MCP Server

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Quick Start

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

{
  "mcpServers": {
    "infrastructure-location-risk-mcp": {
      "url": "https://ryanclinton--infrastructure-location-risk-mcp.apify.actor/mcp"
    }
  }
}

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Infrastructure and location risk intelligence for any address or coordinate, delivered via the Model Context Protocol. This MCP server orchestrates 15 data sources in parallel — FEMA, USGS, NOAA, GDACS, EPA, OpenAQ, UK Police, and more — to produce structured risk scores for underwriters, real estate investors, and site selection teams. Every tool call returns a scored, graded assessment with evidence-backed findings.

Connect once via MCP and your AI assistant can answer questions like "Is this warehouse site in a flood and seismic zone?" or "Generate a full underwriting report for 1300 First Street, New Orleans" without touching a single API or dataset directly.

What data can you access?

| Data Point | Source | Example |
|---|---|---|
| 📋 Federal disaster declarations and history | FEMA Disaster Declarations | 34 declarations — Hurricane, Flood, Tornado |
| 🌍 Seismic events, magnitude, depth | USGS Earthquake Search | 12 events M4.0+ within 150 km |
| ⛈️ Active severe weather alerts | NOAA Weather Alerts | 3 extreme alerts — Tornado Warning |
| 🌐 Global disaster events and impact estimates | GDACS Disaster Alerts | Cyclone, severity level Orange |
| 🌊 UK flood risk warnings by area | UK Flood Warnings | 7 active flood alerts — Thames Valley |
| 🌡️ Multi-day weather forecast with extremes | Weather Forecast | 42°C high — heat stress forecast |
| 💨 Air quality index and pollutant readings | OpenAQ Air Quality | PM2.5: 87 µg/m³ — unhealthy |
| 🏭 EPA enforcement violations and Superfund proximity | EPA ECHO | 18 violation records within 5 km |
| 🚔 Crime incidents by category and rate | UK Police Crime Data | 143 incidents — 38% violent |
| 📍 Address geocoding to coordinates | Nominatim Geocoder | 51.5074° N, 0.1278° W |
| 🏥 Nearby facilities — hospitals, schools, services | OSM Points of Interest | 67 POIs — well-developed area |
| ⚡ EV charging station density | Open Charge Map | 24 stations — modern infrastructure |
| 🏠 Property transaction prices and history | UK Land Registry | Avg £485K — 22 transactions |
| 🍽️ Food hygiene ratings for local establishments | UK Food Hygiene | 82% rated 4+ — area well-maintained |
| ☀️ Day length and seasonal daylight data | Sunrise/Sunset Calculator | 7.3h day — extreme latitude |

Why use Infrastructure & Location Risk MCP Server?

Manual location risk assessment for a single property involves pulling FEMA records, ordering an environmental Phase I report, consulting USGS seismic maps, checking flood zone certificates, and commissioning crime statistics — a process that can take days and cost thousands of dollars per site. Even internal risk teams with GIS access spend hours per location assembling data from a dozen disconnected government databases.

This MCP automates the entire data assembly and scoring pipeline. Connect it to Claude, GPT-4o, or any MCP-compatible AI client and your team gets structured, scored, graded risk assessments in under two minutes per location.

- Scheduling — run recurring monitoring for portfolio properties on daily, weekly, or monthly intervals to track how risk profiles change over time
- API access — trigger assessments from Python, JavaScript, or any HTTP client; integrate directly into underwriting platforms and deal flow tools
- Parallel data fetching — all 15 sources are queried simultaneously, not sequentially, cutting query time dramatically versus manual workflows
- Monitoring — receive Slack or email alerts when assessments flag extreme risk or when a run fails unexpectedly
- Integrations — push results to Zapier, Make, Google Sheets, HubSpot, or GIS platforms via webhooks or the Apify API

Features

- 8 purpose-built MCP tools covering every layer of physical asset risk — from a 30-second hazard check to a full insurance underwriting report
- 15 data sources queried in parallel using Promise.all dispatch, reducing round-trip time versus sequential API calls
- Multi-Hazard Exposure Score (0-100) combining FEMA declaration frequency, USGS M4.0+ earthquake count, NOAA severe/extreme alert severity, GDACS global disaster proximity, and UK flood warning density
- Environmental Contamination Radius score (0-100) derived from EPA ECHO violation record density, OpenAQ PM2.5/AQI averages against WHO thresholds, and UK Food Hygiene low-rating concentration
- Infrastructure Quality Index (0-100) scored from OSM point-of-interest density (50+ POIs = well-developed), EV charging station count as a modern-infrastructure proxy, food hygiene high-rating ratio, and UK Land Registry average property value
- Climate Trajectory score (0-100) built from forecast extreme temperatures (>40°C / <-20°C), storm and blizzard keyword detection in weather descriptions, high-wind forecasts above 50 km/h, NOAA historical alert frequency, and sunrise/sunset day-length analysis for extreme-latitude detection
- Crime Safety score (0-100) using UK Police crime incident counts with a violent crime proportion multiplier — incidents tagged with "violence", "robbery", or "weapon" categories trigger elevated scoring
- Composite Insurance Underwriting Report using a weighted model: Hazard (30%) + Climate (25%) + Contamination (20%) + Crime (15%) + Infrastructure inverted (10%)
- Four-tier risk grade output — LOW RISK / MODERATE RISK / HIGH RISK / UNINSURABLE with a plain-English recommendation for each grade
- Auto-geocoding — supply a place name; the server resolves coordinates via Nominatim before dispatching spatial queries to earthquake, crime, flood, and POI sources
- Spending limit enforcement — every tool call checks Actor.charge() and halts with a clear error if the run budget is reached, preventing cost overruns
- Stateless MCP mode — runs on Apify Standby; each POST to /mcp creates an isolated server instance, safe for concurrent multi-user access

Use cases for location risk assessment

P&C insurance underwriting

Property and casualty underwriters spend 20-40 minutes per location gathering hazard data before they can price a risk. This MCP reduces that to a single tool call: insurance_underwriting_report returns a composite risk grade, all five dimensional scores, and a plain-English recommendation (Decline / Elevated Premium / Standard / Preferred). Teams processing hundreds of submissions weekly can embed this into their intake workflows via the Apify API.

Real estate investment due diligence

Investors evaluating acquisition targets need to cross-reference flood zones, seismic exposure, environmental liens, crime rates, and property market context before committing capital. The property_intelligence and natural_disaster_exposure tools combine UK Land Registry transaction history with hazard scoring, giving deal teams a rapid risk profile that would otherwise require a Phase I environmental report and a manual FEMA lookup.

Data center and critical facility site selection

Infrastructure teams selecting data center, warehouse, or manufacturing sites require low earthquake and flood exposure, clean environmental records, and strong utility infrastructure. The infrastructure_quality_index tool quantifies EV charging density and OSM POI coverage as modern-infrastructure proxies, while natural_disaster_exposure compares seismic and flood risk across candidate locations.

Municipal and urban planning

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