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  • A
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    An MCP server that makes live Earth data usable by AI agents. Its initial data sources cover natural hazards: earthquakes from the USGS FDSN event catalog and volcanic activity from the Smithsonian Global Volcanism Program.
    MIT
  • F
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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.
    1
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  • A
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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.
    21
    6
    MIT
  • A
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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.
    5
    MIT
  • A
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    Provides standardized access to 20+ NASA data sources including astronomy pictures, Mars rover photos, near-Earth objects, satellite imagery, space weather, and planetary data through a unified interface optimized for AI consumption.
    23
    4 npm
    ISC
  • A
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    Enables AI agents to search Earth-science dataset collections by keyword, platform, instrument, time range, or bounding box; fetch full collection metadata; and list individual data granules with direct download links.
    5 npm
    MIT
  • A
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    Enables querying NASA's Earth Observatory Natural Event Tracker (EONET) for natural events, categories, sources, and visualization layers.
    7 npm
    MIT
  • A
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    Provides access to NASA's public APIs including Astronomy Picture of the Day, Mars Rover Images, and Near Earth Objects data, enabling users to query and retrieve space-related information through natural language.
    5
    MIT
  • A
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    Enables Claude to search and retrieve patent data from EPO OPS and Google Patents via natural language, supporting patent search, details, claims, and family information with OAuth authentication.
    MIT