"Flood" matching MCP servers:

Enables river discharge monitoring and multi-day flood forecasting with severity assessments via the Open-Meteo Flood API.

Enables real-time access to England's official flood warnings, river-gauge telemetry, station readings, and flood area data from the Environment Agency, allowing users to query current flood conditions and monitor water levels, flow, and rainfall.

Provides access to UK Environment Agency's real-time flood monitoring data, enabling users to check flood warnings, monitor water levels and flow rates, and access historical measurements from monitoring stations across the UK.

Gives MCP clients access to 35 years of bias-corrected daily weather records for five Gilgit-Baltistan stations, with tools for daily values, long-term trends, cross-station comparison and rainfall thresholds. It also produces a live 1-16 day flash-flood screening outlook scored against each valley's own history, while flagging data break caveats that could mislead trend analysis.

Provides hydrology data (river levels, streamflow, flood forecasts, water quality) from USGS, NOAA, and SWOT, preserving units, datums, timezones, and data quality for AI agents.

Model Context Protocol (MCP) server that provides weather forecast, warnings, water level associated with flood, and earthquake reports from Malaysia Government's Open API.

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.

Enables AI assistants to look up official Austrian municipal data by place name, GKZ or coordinates, returning weather forecasts and nowcasts from GeoSphere Austria alongside nearby and current water-level readings from eHYD. Answers come as compact JSON with source attribution, timestamps, licenses and units, plus tools for searching municipalities and checking flood situations by province.

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.

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.

Enables unified search and retrieval across Malaysia's open data catalogue, dashboards, DOSM datasets, weather forecasts and warnings, flood warnings, and GTFS transit routes and stops through keyless MCP tools.

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.

Enables launching and monitoring SaferPlaces flood simulations directly from Claude chat, with credentials handled server-side. Tools are auto-generated from the SaferPlaces OpenAPI specification.

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

Provides real-time hydrological data from Korea's Flood Control Office via MCP protocol, optimized for AI assistants with features to prevent infinite loop calls and standardize data structures.

Enables querying river and reservoir water conditions, key station rainfall, provincial statistics, rainfall top-10, and flood/drought warnings for water condition retrieval and auxiliary analysis.