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
基本情報
🌎 🔧 Earthdata MCP Server.
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": {
"earthdata": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"datalayer/earthdata-mcp-server:latest"
],
"env": {
"EARTHDATA_USERNAME": "",
"EARTHDATA_PASSWORD": ""
}
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
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.
Open-source MCP to use Blender with any LLM
A curated list of references for MLOps
AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents
🔥 MaxKB is an open-source platform for building enterprise-grade agents. 强大易用的开源企业级智能体平台。

Handl speaks the Model Context Protocol. Your whole billing operation — projects, invoices, clients, reports, approvals — as tools any AI assistant can call, inside your autonomy rules.
コメント