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Earthdata MCP Server
[](https://github.com/datalayer/earthdata-mcp-server/actions/workflows/build.yml)
[](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.
Use with Claude Desktop
To use this with Claude Desktop, add the following to your `claude_desktop_config.json`.
If you are using Linux, start Claude with the following command.
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
- `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.
- `ask_datasets_format` - To ask about the format of the datasets. - Returns: Prompt correctly formatted.
Building
If you prefer, you can pull the prebuilt images.