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    Enables spatial analysis of large remote GeoParquet files directly from object storage without downloading or importing data, using DuckDB's predicate and projection pushdown to answer queries efficiently.
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    MIT
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    Enables agents to turn structured data into production-ready static maps, returning rendered PNG and SVG URLs along with an editable map link.
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    204 npm
    MIT
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    MCP server for sthan.io - US address verification, parsing, autocomplete, forward/reverse geocoding, and IP geolocation. 8 tools, TypeScript, stdio transport. Free tier, no credit card required.
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    MIT
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    Thirteen read-only Google Maps Platform tools for an agent: where a place is, what is around it, how long it takes to get there, and what the conditions are when it arrives.
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    MIT
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    MCP server for spatial queries via the Terranode Geospatial API, enabling AI agents to perform point-in-polygon lookups, nearest feature search, distance calculations, and spatial joins.
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    39 npm
    MIT
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    An MCP server that provides offline access to ZIM file archives, including Wikipedia, medical knowledge, and maps. It dynamically exposes tools like search, article retrieval, and driving route planning based on available ZIM files.
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    MIT
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    Enables Claude Desktop to view and interact with the currently open QGIS project, including layers, styling, selections, Processing algorithms, attribute editing, and geocoding, all running locally.
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    GPL 2.0
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    Enables to interact with Felt maps programmatically through an MCP server. Supports listing, retrieving details, and creating maps with natural language.
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    MIT
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    The Stadia Maps MCP server provides AI assistants with access to Stadia Maps APIs for location services, geocoding, routing, and mapping capabilities.
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    TypeScript
    BSD 3-Clause
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    Enables AI assistants to interact with 3DCityDB v5 through natural language, dynamically resolving object classes, properties, and codelists to answer spatial questions and execute SQL queries on CityGML data.
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    Apache 2.0
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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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    Apache 2.0
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    Enables AI assistants to interact with Mapbox developer APIs for style management, token management, and local processing tasks like GeoJSON preview and coordinate conversion.
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    241 npm
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    MIT
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    Enables AI agents to autonomously discover, stream, and compute satellite analytics from free government Earth observation archives. Provides tools for STAC search, spectral indices, elevation profiles, SAR water detection, and sandboxed geospatial scripting.
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    Apache 2.0
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    Enables Large Language Models to interact with the ILP Drone Delivery System to plan deliveries, check drone availability, and generate route visualizations. It allows users to manage logistics tasks like capacity planning and temperature requirement matching through natural language.
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    MCP server that provides Korean weather information using grid coordinates and the Korea Meteorological Administration API, allowing users to query current weather conditions and forecasts for specific locations in Korea.
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    Apache 2.0
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    A Python MCP server for discovering and analyzing Sentinel-2 L2A imagery, enabling AI agents to search scenes, check quality, and compute spectral indices like NDVI, NDWI, and NBR from remote COG windows.
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