Integrations
Offers containerized deployment of the MCP server through Docker, simplifying setup and ensuring consistent environments for Earth data analysis workflows.
Provides tools to interact with NASA Earth Data for efficient dataset discovery and retrieval for geospatial analysis, including searching for datasets and data granules with filtering by keywords, temporal ranges, and geographical bounding boxes.
🪐 ✨ Earthdata MCP Server
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.
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.
This server cannot be installed
remote-capable server
The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.
A Model Context Protocol server that enables efficient discovery and retrieval of NASA Earth Data for geospatial analysis.
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