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🌎 ✨ Jupyter Earth MCP Server

@MCP-Mirror

Repository

About 🌎 ✨ Jupyter Earth MCP Server

Mirror of

#jupyter#geospatial#data-analysis

Config

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": ""
      }
    }
  }
}

Tools

2

`folder_name`(string): Local folder name to save the data.

Cell output.

Overview

What is Jupyter Earth MCP Server?

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.

How to use Jupyter Earth MCP Server?

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.

Key features of Jupyter Earth MCP Server

  • One tool: download_earth_data_granules
  • One prompt: download_analyze_global_sea_level
  • Runs as a Docker container
  • Integrates with Claude Desktop

Use cases of Jupyter Earth MCP Server

  • Download NASA Earth data granules into a Jupyter notebook
  • Analyze global sea level data using AI-powered tools
  • Automate geospatial data workflows within JupyterLab

FAQ from Jupyter Earth MCP Server

What dependencies are required?

Requires JupyterLab 4.4.1, jupyter-collaboration 4.0.2, ipykernel, and Docker.

How do I configure the server with Claude Desktop?

Set SERVER_URL, TOKEN, and NOTEBOOK_PATH environment variables in the Docker run command within the claude_desktop_config.json file.

Where do the data granules come from?

Data granules are downloaded from NASA Earth Data.

What is the transport method?

The server runs in a Docker container and communicates via standard I/O (stdio) with environment variables for configuration.

Frequently asked questions

What dependencies are required?

Requires JupyterLab 4.4.1, jupyter-collaboration 4.0.2, ipykernel, and Docker.

How do I configure the server with Claude Desktop?

Set `SERVER_URL`, `TOKEN`, and `NOTEBOOK_PATH` environment variables in the Docker run command within the `claude_desktop_config.json` file.

Where do the data granules come from?

Data granules are downloaded from NASA Earth Data.

What is the transport method?

The server runs in a Docker container and communicates via standard I/O (stdio) with environment variables for configuration.

Comments

Basic information

Category

Data & Analytics

License

BSD-3-Clause license

Transports

stdio

Author

MCP-Mirror

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