What dependencies are required?
Requires JupyterLab 4.4.1, jupyter-collaboration 4.0.2, ipykernel, and Docker.
@MCP-Mirror
Basic information
Mirror of
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"jupyter-earth": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"SERVER_URL",
"-e",
"TOKEN",
"-e",
"NOTEBOOK_PATH",
"datalayer/jupyter-earth-mcp-server:latest"
],
"env": {
"SERVER_URL": "",
"TOKEN": "",
"NOTEBOOK_PATH": ""
}
}
}
}`folder_name`(string): Local folder name to save the data.
Cell output.
Jupyter Earth MCP Server is a Model Context Protocol (MCP) server implementation that provides geospatial analysis tools for Jupyter notebooks, enabling download of NASA Earth data granules.
Install JupyterLab with collaboration packages, start JupyterLab on port 8888 with a token, then configure Claude Desktop to run the Docker container with environment variables SERVER_URL, TOKEN, and NOTEBOOK_PATH. The server exposes one tool and one prompt for downloading and analyzing Earth data.
download_earth_data_granulesdownload_analyze_global_sea_levelRequires JupyterLab 4.4.1, jupyter-collaboration 4.0.2, ipykernel, and Docker.
Set `SERVER_URL`, `TOKEN`, and `NOTEBOOK_PATH` environment variables in the Docker run command within the `claude_desktop_config.json` file.
Data granules are downloaded from NASA Earth Data.
The server runs in a Docker container and communicates via standard I/O (stdio) with environment variables for configuration.

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