# NASA Earthdata

> Use this tool when you need to access NASA's Earth science datasets and data granules through conversational AI interfaces, solving problems of data discovery and retrieval for researchers and scientists. It takes keywords, temporal ranges, and geographic boundaries as inputs and returns relevant datasets and data granules as outputs. This tool is ideal for use cases where direct access to Earth observation data is required without switching to specialized data portals.

Canonical page: https://skillsregistry.net/skills/datalayer-earthdata  
JSON: https://api.skillsregistry.net/v1/skills/datalayer-earthdata

## Description

Earthdata MCP Server provides a bridge between AI assistants and NASA's Earthdata platform, enabling search and retrieval of Earth science datasets and data granules. Built with FastMCP, it exposes two main tools: search_earth_datasets for discovering datasets based on keywords, temporal ranges, and geographic boundaries, and search_earth_datagranules for retrieving specific data granules by dataset short name. This implementation is particularly valuable for researchers, scientists, and analysts who need to access NASA Earth observation data directly through conversational AI interfaces without switching to specialized data portals.

## Trust

- **Trust score (0–1):** 0.94
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/datalayer-earthdata)
- **Repository:** <https://github.com/datalayer/earthdata-mcp-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "datalayer-earthdata"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/datalayer-earthdata` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/datalayer-earthdata/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt