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CMR

Createdpodaac

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

NPM Package Github Repo

About

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

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

Use Cases

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