"Flood" matching MCP servers:

MCP server to look up long-term flood risk for England postcodes using official Environment Agency data, and validate UK postcodes.

An MCP server that gives AI assistants direct access to the FEMA National Flood Hazard Layer (NFHL) for flood zone lookups, FIRM panel information, and flood map data in the United States.

MCP server that queries FEMA's National Flood Hazard Layer (NFHL) for flood zone information, including flood zone codes, Base Flood Elevation, FIRM panel numbers, and identifies LOMRs/LOMAs from provided coordinates, enabling automated flood risk lookups.

Enables users to draw GIS geometry on an interactive map and get clean, validated GeoJSON to hand off to other GIS MCP servers such as FEMA flood screening and USGS hydrography.

Exposes Mireye Earth's geospatial data API as MCP tools (mireye_ask and mireye_fetch) for querying location-based information like elevation, flood zones, and wildfire risk for US places.

Enables AI agents to perform due diligence on Irish properties by querying public datasets for planning applications, sold prices, flood risk, radon risk, and zoning.

An MCP server that gives AI agents clean, token-efficient access to US civic & property data — geocoding, census tracts, Opportunity Zones, ACS demographics, and FEMA flood zones — sourced entirely from free federal open data.

MCP server that wraps NVE's open GIS data to provide flood risk and landslide risk point lookups, with explicit uncertainty reporting (e.g., 'no data' vs 'safe') and source references.

Enables natural language queries about UK postcodes and vehicles, including flood risk, crime rate, broadband coverage, property prices, MOT history, and ULEZ compliance.

Enables AI assistants to assess any parcel for micro-farm viability (climate, water, farmland context, access, flood risk) and dwelling feasibility, and to find real land for sale from free, keyless public data sources.

ollect comprehensive environmental data from 80+ US federal sources (FEMA, EPA, USGS, NOAA, NRCS, USFWS, DOE, DOT, CDC, Census) for any US location. One tool returns flood zones, soils, wetlands, rainfall, water quality, contamination, seismic risk, infrastructure, ecology, energy, and demographics.

Provides comprehensive access to Open-Meteo APIs for weather forecasts, historical data, air quality, and marine conditions. It enables LLMs to query specialized meteorological models, perform geocoding, and access advanced climate or flood projections.

MCP server for AI-native restaurant discovery with three-tier search (verified, menu_indexed, discovered), Menu Protocol menus, and structured menu validation.

An MCP server that gives AI agents grounded access to US natural-hazard data — weather alerts, forecasts, earthquakes, and FEMA flood zones — from free, keyless US government APIs.

Enables deploying an Earth Engine MCP server in Docker, integrating with Claude Desktop to perform geospatial analysis using 11 Earth Engine tools for tasks like wildfire risk, flood risk, and agricultural monitoring.

MCP server for Open-Meteo free weather APIs, offering 16 tools for forecast, historical, air quality, marine, flood, ensemble, climate, seasonal, and scheduled data collection with no API key required.

Find discounted food waste from Danish supermarkets (Salling Group) via the Model Context Protocol. Provides tools to search nearby stores or get products by store ID.

This MCP server provides access to Open-Meteo weather APIs including forecast, historical reanalysis, geocoding, air quality, marine weather, and flood risk data, enabling AI agents to retrieve weather information using natural language.

Provides flood-risk reporting and avoidance guidance for rainy days, including parking risk, community reports, and weather-based alerts.

An MCP server that integrates with Google Places API to enable AI clients to search for restaurants and get food recommendations based on location and preferences.