FEMA National Flood Hazard Layer ↗
US flood zone at site
United Statesrestricted
Combine FEMA mapped hazard, observed discharge and river forecast context for US screening. Compare listed sources, access requirements and evidence for us flood risk and stream gauge apis.
3 sources · For environmental scientists, flood consultants, GIS analysts, hydrologists, water quality specialists. Enrichment describes potential applications; review source evidence and limitations.
Forecasts and observed gauge levels do not revise regulatory flood zones or establish parcel safety.
Add this server to an HTTP-compatible MCP client, then call get_source to inspect the first source. The tool call is shown separately from the client configuration. Review upstream access details before requesting data.
{
"mcpServers": {
"terramcp": {
"url": "https://terramcp.earth/mcp"
}
}
}
// After connecting, call this discovery tool:
{
"name": "get_source",
"arguments": {
"slug": "fema-national-flood-hazard-layer"
}
}US flood zone at site
United Statesrestricted
USGS water observations and monitoring-location metadata through modern water-data APIs.
United Statespage reachable
US river forecasts
United Statespage reachable
Start with FEMA National Flood Hazard Layer, USGS Water Data API, NOAA National Water Model / NWPS. Combine FEMA mapped hazard, observed discharge and river forecast context for US screening.
Forecasts and observed gauge levels do not revise regulatory flood zones or establish parcel safety.
Connect an MCP client to https://terramcp.earth/mcp and call get_source with slug fema-national-flood-hazard-layer. Review its provenance, access requirements and limitations before contacting the upstream service. Discovery does not make every listed source directly executable through the router.
Access and licence terms belong to each upstream provider; some products require registration or payment. Open each listing for evidence, health status and enrichment provenance. A wrapper and its underlying API can refer to the same dataset and are not independent observations.