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Jupyter Earth MCP Server

@MCP-Mirror

リポジトリ

基本情報

カテゴリ

データと分析

ライセンス

BSD-3-Clause license

トランスポート

stdio

作者

MCP-Mirror

Jupyter Earth MCP Server について

Mirror of

#jupyter#geospatial#data-analysis

Jupyter Earth MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "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": ""
      }
    }
  }
}

Jupyter Earth MCP Server のツール

2

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

Cell output.

概要

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

よくある質問

1

What dependencies are required?

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

2

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.

3

Where do the data granules come from?

Data granules are downloaded from NASA Earth Data.

4

What is the transport method?

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

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