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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.
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    12 npm
    MIT
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    MCP server to look up long-term flood risk for England postcodes using official Environment Agency data, and validate UK postcodes.
    2
    117 npm
    1
    Apache 2.0
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    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.
    4
    MIT
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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.
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    5 npm
    MIT
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    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.
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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.
    15
    161 npm
    MIT
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    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.
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    MIT
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    Compass DaaS exposes vegan-friendly restaurant search, restaurant enrichment, and dietary fit decision tools over the Model Context Protocol.
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    0
    MIT
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    Enables LLM agents to explore JavaScript/TypeScript repositories through parsed syntax trees by returning compact file outlines, precise symbol definitions, and local dependency graphs. It keeps access read-only and sandboxed to chosen roots while using a bounded, flood-proof stdio transport.
    3
    MIT
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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.
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    74 npm
    8
    MIT
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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
    35 npm
    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
    31 npm
    MIT
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    Instant U.S. property intelligence for AI agents. Zoning, Buildability™ Score, ADU eligibility, flood risk, and more from 20+ government sources. Pay-as-you-go: $5 per analysis (prepaid credits). Free Score available at buildability.us. Get a key at buildability.us/api.
    5
    1
    MIT
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    Provides comprehensive Chinese food nutrition data with tools to search, compare, and filter foods by nutrient values.
    5
    43 npm
    8
    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
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    Enables Claude Code, Codex, and other coding-agent sessions on the same machine to message each other, exchange tracked tasks with owners and states, and coordinate through channels, broadcasts, and multi-session asks without typing into terminals. Messages are routed by what the receiver is doing — next tool call, end of turn, or a held-back digest — so a flood of traffic doesn't interrupt active work.
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    78 npm
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    MIT
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    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.
    5
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    MIT
  • A
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    Enables grounded bilingual English/Tagalog question answering over the Metro Manila flood-exposure atlas by generating read-only SQL and searching public-safety briefs, with validation that every numeric claim is grounded in tool output.
    5
    MIT
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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
    27 npm
    7
    MIT
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    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.
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    MIT
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    Provides read-only access to manufacturing plant data from Excel or SAP S/4HANA, enabling natural-language queries for OEE, downtime Pareto, late work orders, scrap, and inventory alerts. It enforces data classification, masking, row limits, and audit logging for safe Claude/MCP client access.
    10
    MIT
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    A production-grade semantic search server for food recipes — built for AI agents using the Model Context Protocol (MCP). Search across 50,000+ recipes with hybrid dense + sparse retrieval and cross-encoder reranking.
    2
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    MIT
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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
    65 PyPI
    MIT
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    Enables AI agents to autonomously discover, stream, and compute satellite analytics from free government Earth-observation catalogs such as Sentinel-2, Landsat, and Copernicus DEM, with zero API keys or configuration. It supports place-name geocoding, STAC scene search, cloud-native COG streaming for spectral indices, elevation profiles, SAR flood detection, and sandboxed custom geospatial scripts.
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    15
    Apache 2.0
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    Provides tools for UK FSA and EU food safety compliance, including business classification, HACCP auditing, allergen labeling checks, traceability, and recall procedures.
    7
    MIT