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  • A
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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
  • F
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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.
    3
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  • A
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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.
    2
    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 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
    1
    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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    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.
    6
    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
  • A
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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
    1
    MIT
  • A
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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.
    29
    15
    Apache 2.0
  • A
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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
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    Enables AI agents to analyse rural land plots in Europe, returning computed figures and sources for checks such as flood risk, noise, sunlight, access, planning, and land-register data. It also supports managing saved plots, reports, folders, and listings.
    20
    MIT
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    Enables AI agents and LLMs to retrieve precise food chemistry and nutrition data from USDA, Open Food Facts, and IFCT, evaluate recipes, optimize macros, look up barcodes, and detect ultra-processed foods through MCP tools.
    9
    MIT
  • A
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    Enables Google Gemini to create and edit pixel art in a live Aseprite document through an iterative observe-analyze-paint-correct loop. Exposes tools for pixel-level painting, geometric shapes, flood fill, palettes, layers, frames, animation, and PNG export, all grouped into atomic undo transactions.
    43
    120 npm
    MIT
  • A
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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.
    12
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    1
    MIT