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<!-- ~ Copyright (c) 2023-2024 Datalayer, Inc. ~ ~ BSD 3-Clause License --> [](https://datalayer.io) [](https://github.com/sponsors/datalayer) # 🪐 ✨ Earthdata MCP Server [](https://pypi.org/project/earthdata-mcp-server) [](https://smithery.ai/server/@datalayer/earthdata-mcp-server) Earthdata MCP Server is a [Model Context Protocol](https://modelcontextprotocol.io/introduction) (MCP) server implementation that provides tools to interact with [NASA Earth Data](https://www.earthdata.nasa.gov/). It enables efficient dataset discovery, retrieval and analysis for Geospatial analysis. 🚀 **NEW**: This server now includes all [Jupyter MCP Server](https://github.com/datalayer/jupyter-mcp-server) tools through composition, providing a unified interface for both Earth data discovery and analysis in Jupyter Notebooks. ## 🚀 Key Features - **Efficient Data Retrieval**: Search and download Earthdata datasets - **Unified Interface**: Combines Earthdata research and Jupyter notebook manipulation tools for analysis The following demo uses this MCP server to search for datasets and data granules on NASA Earthdata, download the data in Jupyter and run further analysis. <div> <a href="https://www.loom.com/share/c2b5b05f548d4f1492d5c107f0c48dbc"> <p>Analyzing Sea Level Rise with AI-Powered Geospatial Tools and Jupyter - Watch Video</p> </a> <a href="https://www.loom.com/share/c2b5b05f548d4f1492d5c107f0c48dbc"> <img style="max-width:100%;" src="https://cdn.loom.com/sessions/thumbnails/c2b5b05f548d4f1492d5c107f0c48dbc-598a84f02de7e74e-full-play.gif"> </a> </div> ## 🏁 Getting Started For comprehensive setup instructions—…
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