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    A self-contained MCP server that gives AI agents the ability to calculate high-precision astronomical data. It provides tropical zodiac coordinates, planetary speeds, retrograde detection, and house cusps using the trusted Swiss Ephemeris engine. 100%
    4
    AGPL 3.0
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    Enables AI agents and hackathon teams to query Glendale, California hazard zones and city GIS data by address or coordinates, including nearby resources and dataset metadata for emergency-preparedness applications.
    12
    GPL 3.0
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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
    41 npm
    7
    MIT
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    An MCP server that lets an AI agent run satellite land due-diligence through LandBenchmark. Its analyze_parcel tool takes a lat/lon or GeoJSON geometry and returns a green / caution / walk-away verdict with cited signals — flooding, slope, wildfire, road access, and more — for any parcel.
    1
    27 npm
    MIT
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    MCP server for searching treks (hiking, mountain biking, horse riding, snowshoeing, etc.) on a GeoTrek instance via its public API, with geocoding via Nominatim. Exposes tools to search treks by duration, elevation, regulation labels, activity type, and proximity to a place or coordinates.
    3
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    Integrates Korean APIs (Naver, Kakao, TMAP) into LLM applications for search, maps, and directions.
    1
    10
    MIT
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    A local job-hunting MCP server for discovering jobs across pluggable web sources, tracking applications through a status lifecycle, and managing profiles/resumes, with geo/map-region search.
    12
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    Enables AI models to retrieve user geolocation information using EdgeOne Pages Functions through the Model Context Protocol, providing location data in JSON format for context-aware applications.
    MIT
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    Enables querying waste collection dates for German addresses across 995 public waste authorities, resolving the responsible authority and its required parameters to return schedules for residual waste, organic waste, paper, packaging, bulky waste, and hazardous waste collection.
    1
    MIT
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    Integrates SkyFi satellite imagery and OpenStreetMap services with AI applications to enable high-resolution image searching, ordering, and area monitoring. It provides 21 tools for geospatial tasks, including geocoding, tasking quotes, and satellite pass prediction.
    3
    MIT
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    Enables satellite imagery analysis through Google Earth Engine, allowing users to search datasets, calculate vegetation indices like NDVI, filter collections by location and date, and export imagery to cloud storage. Supports major satellite datasets including Sentinel-2, Landsat, and MODIS for applications like agriculture monitoring and deforestation tracking.
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