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
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.
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 GitHubFrom 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
- US Census Bureau Geocoder — address validation + geocoding
- FEMA NFHL — flood zone
- USGS Design Maps — seismic PGA
- Static reference points (haversine) — fault + coastal proximity
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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