Server data from the Official MCP Registry
Flood, wildfire, earthquake, and coastal-storm hazard lookup for a US property.
Flood, wildfire, earthquake, and coastal-storm hazard lookup for a US property.
Remote endpoints: streamable-http: https://mcp.zipquote.ai/mcp
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
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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"
}
}
}From the project's GitHub README.
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.
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.
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"}}}'
Runs via Docker Compose (docker-compose.yml):
docker compose up -d --build
flood_available: false)MIT — see LICENSE.
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