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737,077 tools. Updated 2026-11-02 18:19

"Flood" matching MCP tools:

  • "Flood risk for [river]" / "river discharge forecast" / "will [river] flood" / "water levels at [location]" — daily river discharge forecast from the GloFAS global flood model. Returns predicted m³/s discharge up to 30 days ahead for any river-bearing lat/lng worldwide. Use for flood risk assessment, agriculture planning, hydrology research.
    ConnectorNo auth
  • Fetches active England flood warnings and alerts from the Environment Agency, filtered by minimum severity, county, or lat/long radius, so you can assess flood risk for a location.
    MIT
  • Find UK Environment Agency river and tidal monitoring stations by town, river, catchment, parameter, or keyword; returns station IDs, coordinates, and recorded measures for flood monitoring.
    MIT
  • Get the latest reading for every measure (e.g. water level, flow) recorded at one UK Environment Agency monitoring station, identified by the station_id from uk-ea-flood-monitoring.station_search. Returns each measure_id with its most recent date/time and value. Data: environment.data.gov.uk/flood-monitoring, UK Open Government Licence v3.0, no auth required.
    ConnectorNo auth
  • Get currently active flood warnings and alerts for England from the UK Environment Agency, filterable by minimum severity (1=Severe Flood Warning down to 4=Warning no longer in force), county, or a geographic radius (lat/long/dist). Returns each warning's flood area, county, affected river or sea, severity, tidal flag, public message, and when it was raised/last changed. Data: environment.data.gov.uk/flood-monitoring, UK Open Government Licence v3.0, no auth required.
    ConnectorNo auth

Matching MCP Servers

  • A
    license
    Not graded
    quality
    B
    maintenance
    Enables river discharge monitoring and multi-day flood forecasting with severity assessments via the Open-Meteo Flood API.
    404 npm
    MIT
  • A
    license
    Not graded
    quality
    C
    maintenance
    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.
    184 npm
    MIT

Matching MCP Connectors

  • Flood MCP — wraps Open-Meteo Flood API (free, no auth)

  • UK Environment Agency real-time flood-monitoring MCP.

  • Search the UK Environment Agency real-time river/tidal monitoring network for stations, filterable by town, river name, catchment name, measured parameter (level, flow, rainfall, wind, temperature), or freetext label search. Returns station_id, name, river/catchment, coordinates, and the measures each station records — use station_id with uk-ea-flood-monitoring.station_readings to get its latest values. Data: environment.data.gov.uk/flood-monitoring, UK Open Government Licence v3.0, no auth required.
    ConnectorNo auth
  • Determine FEMA flood zone for any DFW address. Returns flood zone code, SFHA status, base flood elevation, and insurance requirements.
    Apache 2.0
  • Get FEMA flood zone designations for any Glendale address or coordinates, returning zone, subtype, and Special Flood Hazard Area status to assess flood risk.
    GPL 3.0
  • Add flood observations (marks, timed levels, gauge records, dry points) to a layer, validating each row and reporting rejected rows or stopped batches.
    MIT
  • Finds spatially overlapping satellite image pairs from two date ranges for change detection analysis, such as flood damage or urban growth.
    Apache 2.0
  • Assess water stress, depletion, flood, and drought risk for any geographic region using WRI Aqueduct 4.0 scores to support CSRD portfolio screening.
    MIT
  • Check long-term flood risk for any England postcode using official Environment Agency data. Returns highest risk band, address counts per band, and groundwater indication for property insurance or underwriting.
    Apache 2.0
  • Lists a project's flood observation layers or the observations in a given layer, returning feature IDs, stage/depth, datum status, photo counts, and validation problems.
    MIT
  • Exclude a flood observation from one run's comparison—or include it again—by logging the user and required reason so the change survives recomputes and updates figures immediately.
    MIT
  • Answers natural-language questions about a US location using authoritative federal data, providing cited answers for queries like flood zones, wildfire risk, or building type.
    MIT