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Us Property Hazard Risk MCP Server

Developer ToolsLow Risk10.0MCP RegistryRemote
Free

Server data from the Official MCP Registry

Flood, wildfire, earthquake, and coastal-storm hazard lookup for a US property.

About

Flood, wildfire, earthquake, and coastal-storm hazard lookup for a US property.

Remote endpoints: streamable-http: https://mcp.zipquote.ai/mcp

Security Report

10.0
Low Risk10.0Low Risk

Valid MCP server (1 strong, 4 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry.

1 tool verified · Open access · No issues found

Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.

Permissions Required

This plugin requests these system permissions. Most are normal for its category.

HTTP Network Access

Connects to external APIs or services over the internet.

How to Connect

Remote Plugin

No local installation needed. Your AI client connects to the remote endpoint directly.

Add this to your MCP configuration to connect:

{
  "mcpServers": {
    "ai-zipquote-us-property-hazard-risk": {
      "url": "https://mcp.zipquote.ai/mcp"
    }
  }
}

Documentation

View on GitHub

From the project's GitHub README.

us-property-hazard-risk (MCP server)

A remote MCP server that assesses natural hazard exposure — flood, wildfire, earthquake, and coastal proximity — for a single US property address, using only free, keyless public data. No API keys, no database, no map. Works from Claude, ChatGPT, or any other MCP-compatible host.

Tool

assess_property_hazard(address: str)

Validates and geocodes the address, then returns flood zone (FEMA NFHL), wildfire hazard score, seismic PGA (USGS, ASCE 7-22), fault and coastal distance, and a deterministic 0–100 hazard_score / hazard_tier with up to 5 hazard_drivers. If a data source is unavailable, that field is reported as unknown rather than assumed zero-risk.

Data sources

Local dev

python -m venv venv
venv/Scripts/pip install -r requirements.txt   # venv/bin/pip on macOS/Linux

cd src
../venv/Scripts/python server.py               # ../venv/bin/python on macOS/Linux

Starts a streamable-HTTP MCP server on http://localhost:8000/mcp:

curl -X POST http://localhost:8000/mcp \
  -H "Content-Type: application/json" \
  -H "Accept: application/json, text/event-stream" \
  -d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"assess_property_hazard","arguments":{"address":"1600 Pennsylvania Ave NW, Washington, DC 20500"}}}'

Deployment

Runs via Docker Compose (docker-compose.yml):

docker compose up -d --build

Known limitations

  • US addresses only
  • FEMA NFHL is occasionally unreachable from some networks (flood_available: false)
  • Wildfire scoring is a coarse coordinate-zone heuristic, not parcel-level

License

MIT — see LICENSE.

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