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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.
    8
    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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    31 npm
    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 querying an OwnTracks Recorder for current and historical location data, including addresses, stays, distances, devices, and status, through read-only MCP tools. It supports natural-language questions about where someone is or was and how far they are from home.
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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 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 any MCP client to calculate how many calories a user has earned by walking to a destination, then shows which nearby restaurants and dishes fit within that remaining budget. Blends official McDonald's nutrition data with estimated Chinese-restaurant nutrition values and real walking distances, exposing a walk allowance, nearby food lookup, eatability check, and concept explanation as tools.
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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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    Connect QGIS to Claude AI through the Model Context Protocol (MCP), enabling Claude to directly control QGIS — manage layers, edit features, run processing algorithms, render maps, and more.
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    MIT
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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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    Enables safe local MCP-based control of ArcMap Desktop 10.8, allowing read-only inspection of map documents, layers, datasets, and execution of allowlisted geoprocessing tools through ArcPy.
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    QGISMCP connects QGIS to Claude AI through the Model Context Protocol (MCP), allowing Claude to directly interact with and control QGIS for project creation, layer loading, code execution, and more.
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    Enables MCP clients to control QGIS by executing PyQGIS commands, managing layers and projects, exporting maps, and running Processing algorithms through either a GUI plugin or a headless Python process.
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    MIT
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    Lets AI assistants control a live ArcGIS Pro session through arcpy, including layer management, attribute queries, geoprocessing, symbology, and export.
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    AGPL 3.0