cmr-mcp

# Model Context Protocol (MCP) for NASA Earthdata Search (CMR) This module is a [model context protocol](https://modelcontextprotocol.io/introduction) (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. ``` git clone https://github.com/podaac/cmr-mcp.git cd cmr-mcp ``` ### Install uv ``` curl -LsSf https://astral.sh/uv/install.sh | sh ``` ``` uv venv source .venv/bin/activate ``` ### Install packages with uv ``` uv sync ``` 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. ``` { "mcpServers": { "cmr": { "command": "$UV_LIB$", "args": [ "--directory", "$CMR_MCP_INSTALL$", "run", "cmr-search.py" ] } } } ``` ## 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: 1. Search CMR for datasets from 2024 to 2025 2. Search CMR for PO.DAAC datasets from 2020 to 2024 with keyword Climate