Jupyter Earth MCP Server provides a bridge between AI assistants and Jupyter notebooks for Earth science data analysis. Developed by Datalayer, this Python-based server enables downloading NASA Earth Data granules directly into Jupyter notebooks through a simple interface. The implementation leverages jupyter-kernel-client and jupyter-nbmodel-client to programmatically create and execute code cells in notebooks, allowing for parameterized data retrieval with options for temporal ranges and geographic bounding boxes. It's particularly useful for Earth scientists and researchers who need to automate the acquisition of satellite data and integrate it seamlessly into their Jupyter-based analysis workflows.
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Highlight AIAdd a code cell in a Jupyter notebook to download Earth data granules from NASA Earth Data. Inputs: folder_name (string): Local folder name to save the data, short_name (string): Short name of the Earth dataset to download, count (int): Number of data granules to download, temporal (tuple): (Optional) Temporal range in the format (date_from, date_to), bounding_box (tuple): (Optional) Bounding box in the format (lower_left_lon, lower_left_lat, upper_right_lon, upper_right_lat). Returns: Cell output.
