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    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.
    11
    11
    MIT
  • A
    license
    A
    quality
    A
    maintenance
    MCP server to look up long-term flood risk for England postcodes using official Environment Agency data, and validate UK postcodes.
    2
    85
    1
    Apache 2.0
  • A
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    A
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    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.
    1
    217
    7
    MIT
  • A
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    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.
    2
    73
    MIT
  • A
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    Enables natural language queries about UK postcodes and vehicles, including flood risk, crime rate, broadband coverage, property prices, MOT history, and ULEZ compliance.
    4
    51
    MIT
  • A
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    AI-powered property intelligence for instant zoning analysis, buildability assessments, ADU eligibility, flood risk, and development feasibility reports for any US address.
    5
    1
    MIT
  • A
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    Enables AI assistants to query UK property data including EPCs, sale history, planning, flood risk, council tax, demographics, and more via the Homedata API.
    18
    MIT
  • A
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    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.
    3
    46
    6
    MIT
  • A
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    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.
    13
    MIT
  • A
    license
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    A MCP server exposing 95 US government open-data tools as agent-callable tools, enabling direct access to official APIs for environmental, financial, licensing, and infrastructure data with honest run-status reporting.
    8
    15
    108
    MIT
  • A
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    Model Context Protocol (MCP) server that provides weather forecast, warnings, water level associated with flood, and earthquake reports from Malaysia Government's Open API.
    4
    1
    MIT
  • A
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    quality
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    A no-key-first MCP server providing access to UK public data including postcodes, bank holidays, carbon intensity, flood warnings, and government datasets.
    26
    1
    MIT
  • A
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    maintenance
    Enables AI agents to search the USDA's FoodData Central database and retrieve detailed nutritional information and ingredient lists. It supports comprehensive food data access through keyword searches and structured queries for specific food items.
    3
    MIT
  • A
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    Not graded
    quality
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    maintenance
    An MCP server that exposes real US flood insurance claims data from FEMA's OpenFEMA API, providing tools for claim lookup, filtered search, aggregate stats, and flood event summaries.
    MIT
  • A
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    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.
    15
    MIT
  • A
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    A unified Model Context Protocol server for Houston-area civic, transit, and flood data, joining incompatible public data systems behind workflow-oriented tools. It enables AI assistants to answer questions like 'is my route flooding right now?' by integrating sources such as TranStar, HCFWS, and the GIS hub.
    MIT
  • A
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    quality
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    Query FEMA disaster declarations, public assistance grants, housing aid, and NFIP flood insurance claims via MCP. Supports STDIO and Streamable HTTP.
    284
    1
    Apache 2.0
  • F
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    maintenance
    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.