Model Context Protocol (MCP) for NASA Earthdata Search (CMR)
This module is a model context protocol (MCP) for NASA's earthdata common metedata repository (CMR). The goal of this MCP server is to integrate AI retrievals with NASA Catalog of datasets by way of Earthaccess.
Dependencies
uv - a rust based python package manager a LLM client, such as Claude desktop or chatGPT desktop (for consuming the MCP)
Install and Run
Clone the repository to your local environment, or where your LLM client is running.
Install uv
Install packages with uv
use the outputs of which uv
(UV_LIB) and PWD
(CMR_MCP_INSTALL) to update the following configuration.
Adding to AI Framework
In this example we'll use Claude desktop.
Update the claude_desktop_config.json
file (sometimes this must be created). On a mac, this is often found in ~/Library/Application\ Support/Claude/claude_desktop_config.json
Add the following configuration, filling in the values of UV_LIB and CMR_MCP_INSTALL - don't use environment variables here.
Use the MCP Server
Simply prompt your agent to search cmr for...
data. Below is a simple example of this in action.
Other prompts that can work:
- Search CMR for datasets from 2024 to 2025
- Search CMR for PO.DAAC datasets from 2020 to 2024 with keyword Climate
local-only server
The server can only run on the client's local machine because it depends on local resources.
Tools
AI 검색을 NASA의 공통 메타데이터 저장소(CMR)와 통합하는 MCP 서버로, 사용자는 자연어 쿼리를 통해 NASA의 지구 과학 데이터 세트 카탈로그를 검색할 수 있습니다.
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