datalayer
MCP Serverdatalayerpublic

earthdata mcp server

🌎 ✨ Earthdata MCP Server

Repository Info

17
Stars
6
Forks
17
Watchers
4
Issues
Python
Language
BSD 3-Clause "New" or "Revised" License
License

About This Server

🌎 ✨ Earthdata MCP Server

Model Context Protocol (MCP) - This server can be integrated with AI applications to provide additional context and capabilities, enabling enhanced AI interactions and functionality.

Documentation

Datalayer

Become a Sponsor

🪐 ✨ Earthdata MCP Server

Github Actions Status PyPI - Version smithery badge

Earthdata MCP Server is a Model Context Protocol (MCP) server implementation that provides tools to interact with NASA Earth Data. It enables efficient dataset discovery and retrieval for Geospatial analysis.

The following demo uses this MCP server to search for datasets and data granules on NASA Earthdata, the jupyter-earth-mcp-server to download the data in Jupyter and the jupyter-mcp-server to run further analysis.

Analyzing Sea Level Rise with AI-Powered Geospatial Tools and Jupyter - Watch Video

Use with Claude Desktop

To use this with Claude Desktop, add the following to your claude_desktop_config.json.

{
  "mcpServers": {
    "earthdata": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "datalayer/earthdata-mcp-server:latest"
      ]
    }
  }
}

If you are using Linux, start Claude with the following command.

make claude-linux

Tools

The server offers 2 tools.

search_earth_datasets

  • Search for datasets on NASA Earthdata.
  • Input:
    • search_keywords (str): Keywords to search for in the dataset titles.
    • count (int): Number of datasets to return.
    • temporal (tuple): (Optional) Temporal range in the format (date_from, date_to).
    • bounding_box (tuple): (Optional) Bounding box in the format (lower_left_lon, lower_left_lat, upper_right_lon, upper_right_lat).
  • Returns: List of dataset abstracts.

search_earth_datagranules

  • Search for data granules on NASA Earthdata.
  • Input:
    • short_name (str): Short name of the dataset.
    • count (int): Number of data granules to return.
    • temporal (tuple): (Optional) Temporal range in the format (date_from, date_to).
    • bounding_box (tuple): (Optional) Bounding box in the format (lower_left_lon, lower_left_lat, upper_right_lon, upper_right_lat).
  • Returns: List of data granules.

Prompts

  1. sealevel_rise_dataset

    • Search for datasets related to sea level rise worldwide.
    • Input:
      • start_year (int): Start year to consider.
      • end_year (int): End year to consider.
    • Returns: Prompt correctly formatted.
  2. ask_datasets_format

    • To ask about the format of the datasets.
    • Returns: Prompt correctly formatted.

Building

# or run `docker build -t datalayer/earthdata-mcp-server .`
make build-docker

If you prefer, you can pull the prebuilt images.

make pull-docker

Quick Start

1

Clone the repository

git clone https://github.com/datalayer/earthdata-mcp-server
2

Install dependencies

cd earthdata-mcp-server
npm install
3

Follow the documentation

Check the repository's README.md file for specific installation and usage instructions.

Repository Details

Ownerdatalayer
Repoearthdata-mcp-server
LanguagePython
LicenseBSD 3-Clause "New" or "Revised" License
Last fetched8/10/2025

Recommended MCP Servers

💬

Discord MCP

Enable AI assistants to seamlessly interact with Discord servers, channels, and messages.

integrationsdiscordchat
🔗

Knit MCP

Connect AI agents to 200+ SaaS applications and automate workflows.

integrationsautomationsaas
🕷️

Apify MCP Server

Deploy and interact with Apify actors for web scraping and data extraction.

apifycrawlerdata
🌐

BrowserStack MCP

BrowserStack MCP Server for automated testing across multiple browsers.

testingqabrowsers

Zapier MCP

A Zapier server that provides automation capabilities for various apps.

zapierautomation