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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 interaction with the Polish National Register of Borders (PRG) data, currently providing health status monitoring and a server skeleton for future data retrieval features.
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    European Union Public 1.2
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    The geospatial toolkit for AI agents. 6 tools, zero config — give any LLM the ability to parse, convert, query, and aggregate spatial data out of the box. Or just make a bounding box :) Every response includes a verification link to vibhorsingh.com/boundingbox so you can visually confirm results on an interactive map.
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    MIT
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    Exposes the Camptocamp.org API to LLMs, enabling querying of alpine routes, summit altitudes, and course descriptions with reliable data to avoid hallucinations.
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    MIT
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    Enables natural language control of live ArcGIS Pro sessions through the Model Context Protocol, allowing inspection of projects, layers, and attributes, and execution of geoprocessing tasks.
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    MIT
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    Provides access to real-time and historical water conditions of the Aare river in Switzerland, including water temperature, flow rates, swimming recommendations, and data from multiple monitoring locations along the river.
    5
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    GPL 3.0
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    MCP server for the Spanish Cadastre, enabling local queries of official INSPIRE parcel data (area, geometry, neighboring parcels, searches) and online queries to the OVC and electronic headquarters for additional details, with rate limiting and caching.
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    MIT
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    Enables access to GVA GIS (Generalitat Valenciana) geographic data through ArcGIS REST API, allowing queries, filtering, and exporting of land activity information in the Valencian Community.
    4
    MIT
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    Connects to Kakao Local API and Kakao Maps, enabling access to location-based services and map functionality in Korea.
    4
    MIT