Offers containerized deployment of the MCP server for easy integration with Claude Desktop
Provides tools for geospatial analysis in Jupyter notebooks, including adding code cells for downloading and analyzing Earth data
Enables downloading Earth data granules from NASA Earth Data, with support for filtering by dataset name, temporal range, and bounding box coordinates
🌎 ✨ Jupyter Earth MCP Server
🌍 Jupyter Earth MCP Server is a Model Context Protocol (MCP) server implementation that provides a set of tools for 🗺️ Geospatial analysis in 📓 Jupyter notebooks.
The following demo uses the 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 to run further analysis.
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.
Then, start JupyterLab with the following command.
You can also run make jupyterlab
.
Note
The --ip
is set to 0.0.0.0
to allow the MCP server running in a Docker container to access your local JupyterLab.
Use with Claude Desktop
Claude Desktop can be downloaded from this page for macOS and Windows.
For Linux, we had success using this UNOFFICIAL build script based on nix
To use this with Claude Desktop, add the following to your claude_desktop_config.json
(read more on the MCP documentation website).
Important
Ensure the port of the SERVER_URL
and TOKEN
match those used in the jupyter lab
command.
The NOTEBOOK_PATH
should be relative to the directory where JupyterLab was started.
Claude Configuration on macOS and Windows
Claude Configuration on Linux
Components
Tools
The server currently offers 1 tool:
download_earth_data_granules
- Add a code cell in a Jupyter notebook to download Earth data granules from NASA Earth Data.
- Input:
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.
Prompts
download_analyze_global_sea_level
- To ask for downloading and analyzing global sea level data in Jupyter.
- Returns: Prompt correctly formatted.
Building
You can build the Docker image it from source.
This server cannot be installed
hybrid server
The server is able to function both locally and remotely, depending on the configuration or use case.
A Model Context Protocol server implementation that provides geospatial analysis tools in Jupyter notebooks, particularly for downloading NASA Earth data granules.
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