[![Datalayer](https://assets.datalayer.tech/datalayer-25.svg)](https://datalayer.io) [![Become a Sponsor](https://img.shields.io/static/v1?label=Become%20a%20Sponsor&message=%E2%9D%A4&logo=GitHub&style=flat&color=1ABC9C)](https://github.com/sponsors/datalayer) # 🪐 ✨ Earthdata MCP Server [![Github Actions Status](https://github.com/datalayer/earthdata-mcp-server/workflows/Build/badge.svg)](https://github.com/datalayer/earthdata-mcp-server/actions/workflows/build.yml) [![PyPI - Version](https://img.shields.io/pypi/v/earthdata-mcp-server)](https://pypi.org/project/earthdata-mcp-server) Earthdata MCP Server is a [Model Context Protocol](https://modelcontextprotocol.io/introduction) (MCP) server implementation that provides tools to interact with [NASA Earth Data](https://www.earthdata.nasa.gov/). 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](https://github.com/datalayer/jupyter-earth-mcp-server) to download the data in Jupyter and the [jupyter-mcp-server](https://github.com/datalayer/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`. ```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. ```bash 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. ## Building ```bash # or run `docker build -t datalayer/earthdata-mcp-server .` make build-docker ``` If you prefer, you can pull the prebuilt images. ```bash make pull-docker ```

Data Granules

Earthdata MCP Server