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"namespace:io.github.team-earth" matching MCP servers:

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    Provides tools to search, download, and manage satellite imagery from all Copernicus Sentinel missions via the Copernicus Data Space ecosystem. It enables advanced geospatial queries, temporal coverage analysis, and automated data management for Earth observation tasks.
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    LGPL 3.0
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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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    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.
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    MIT
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    AI-powered terrain analysis for any location on Earth. Uses super-resolution and computes environmental risk metrics including erosion, water flow, and a composite Site Intelligence Score.
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    MIT
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    MCP server providing AI agents with access to NASA and space/astronomy data including APOD, Mars rover photos, near-Earth asteroids, exoplanets, Earth imagery, natural events, and space weather.
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    MIT
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    Exposes live earth-science data (e.g., earthquakes from USGS) as tools for MCP-compatible AI agents, enabling them to fetch and reason about real-time geophysical events.
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    High-value scientific tools for AI agents — literature search (PubMed, arXiv, Semantic Scholar), chemical compound lookup (PubChem, ChEMBL), patent prior art search (USPTO, EPO), GPU spot prices across 4 providers, and real-time earth science data (USGS, NASA, OpenAQ). Per-call billing via API key. Keys issued instantly at https://mcp-site.com/keys/request
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    An MCP server that enables LLMs to query data from various NASA APIs, allowing access to astronomical data, space weather information, Earth imagery, and exoplanet information directly from compatible AI clients.
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    MIT
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    Enables access to NASA space data and images through Claude Desktop, providing features like astronomy picture of the day, Mars rover photos, near-Earth object information, NASA image search, and Earth satellite imagery.
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    An MCP server that integrates AI retrievals with NASA's Common Metadata Repository (CMR), allowing users to search NASA's catalog of Earth science datasets through natural language queries.
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    Enables web search and local business data retrieval through the Brave Search API. Provides tools for web search, local points of interest, and rich search results with customizable parameters.
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