What authentication is required?
NASA Earthdata Login credentials are required for the `download_earth_data_granules` tool. Set them via the environment variables `EARTHDATA_USERNAME` and `EARTHDATA_PASSWORD`.
@datalayer
基本信息
🌎 🔧 Earthdata MCP Server.
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"earthdata": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"datalayer/earthdata-mcp-server:latest"
],
"env": {
"EARTHDATA_USERNAME": "",
"EARTHDATA_PASSWORD": ""
}
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
Earthdata MCP Server is a Model Context Protocol (MCP) server implementation that provides tools to interact with NASA Earth Data. It is intentionally Earthdata-only.
Install the package via pip (pip install earthdata-mcp-server) or run it as a Docker container. Configure it in Claude Desktop by adding a mcpServers entry with the Docker command and environment variables EARTHDATA_USERNAME and EARTHDATA_PASSWORD. The server exposes three tools: search_earth_datasets, search_earth_datagranules, and download_earth_data_granules.
jupyter-mcp-server via mcp-compose for notebook‑driven analysisNASA Earthdata Login credentials are required for the `download_earth_data_granules` tool. Set them via the environment variables `EARTHDATA_USERNAME` and `EARTHDATA_PASSWORD`.
Yes, you can compose this server with `jupyter-mcp-server` using the `mcp-compose` tool. The README explicitly shows a recommendation for notebook‑driven execution via composition.
Three modes: `manifest` returns granule metadata without writing files; `download` saves files directly on the server runtime; `script` returns executable Python code for use in another runtime.
Add a JSON configuration block to your Claude Desktop settings with `"command": "docker"`, the appropriate arguments, and set the environment variables for your Earthdata credentials. Example configuration is provided in the README.
Python 3.x via pip, or a Docker runtime. The server itself runs as a Python script (when installed locally) or inside a Docker container. No additional external services are required.

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