CMR

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Integrates AI retrievals with NASA's Earthdata Search by implementing a Model Context Protocol (MCP) server.

This tool provides a Model Context Protocol (MCP) server for NASA's Earthdata Search (CMR), facilitating the integration of AI retrievals with NASA's catalog of datasets via Earthaccess. By configuring this MCP server with an LLM client (like Claude or ChatGPT), users can interact with NASA's data using natural language prompts. The setup involves installing dependencies using uv, configuring the LLM client with the server's command and arguments, and then querying the agent to search CMR data using intuitive prompts.

Key Features

01Uses Model Context Protocol (MCP) for AI retrieval.
021 GitHub stars
03Enables natural language queries for NASA Earthdata Search.
04Integrates with LLM clients like Claude and ChatGPT.
05Leverages Earthaccess for dataset integration.
06Simplified installation and configuration using uv.

Use Cases

01Searching for datasets by keyword and time range.
02Accessing NASA Earthdata using AI agents.
03Retrieving PO.DAAC datasets from specific years.