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<!-- ~ Copyright (c) 2023-2024 Datalayer, Inc. ~ ~ BSD 3-Clause License --> [](https://datalayer.io) [](https://github.com/sponsors/datalayer) # 🌎 ✨ Jupyter Earth MCP Server [](https://github.com/datalayer/jupyter-earth-mcp-server/actions/workflows/build.yml) [](https://pypi.org/project/jupyter-earth-mcp-server) 🌍 Jupyter Earth MCP Server is a [Model Context Protocol](https://modelcontextprotocol.io) (MCP) server implementation that provides a set of tools for 🗺️ Geospatial analysis in 📓 Jupyter notebooks. The following demo uses the [Earthdata MCP server](https://github.com/datalayer/earthdata-mcp-server) to search for datasets and data granules on NASA Earthdata, this MCP server to download the data in Jupyter and the [jupyter-mcp-server](https://github.com/datalayer/jupyter-mcp-server) to 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> ## Start JupyterLab Make sure you have the following installed. The collaboration package is needed as the modifications made on the notebook can be seen thanks to [Jupyter Real Time Collaboration](https://jupyterlab.readthedocs.io/en/stable/user/rtc.html). ```bash pip install jupyterlab==4.4.1 jupyter-collaboration==4.0.2 ipykernel pip uninstall -y pycrdt datalayer…
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