MCP server
NASA Earthdata MCP Official
io.github.nasa/earthdata-mcp
Checked 25 Oct 2026, 20:29 UTC · Connected to it and listed its tools
Discover, verify, and access NASA Earth science datasets via the Common Metadata Repository (CMR)
Working at last checkOfficial: nasa.gov's GitHub account (nasa)About 6,379 tokens per request once connected7 tools
https://cmr.earthdata.nasa.gov/mcp/v1
At a glance
- Type
- MCP server
- Publisher
- nasa.gov (verified by the MCP Registry)
- Status
- Working at last check
- Tools
- 7
- Token cost
- About 6,379 tokens per request
- Sets up in
- Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
- Last checked
- 25 Oct 2026, 20:29 UTC
Connect it to your agent
Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.
Claude Code
claude mcp add --transport http earthdata-mcp https://cmr.earthdata.nasa.gov/mcp/v1
Claude Desktop
Settings → Connectors → Add custom connector, and paste the URL.
Codex (config.toml)
[mcp_servers.earthdata-mcp] url = "https://cmr.earthdata.nasa.gov/mcp/v1"
Gemini CLI
{"mcpServers":{"earthdata-mcp":{"httpUrl":"https://cmr.earthdata.nasa.gov/mcp/v1"}}}
Cursor
{"mcpServers":{"earthdata-mcp":{"url":"https://cmr.earthdata.nasa.gov/mcp/v1"}}}
VS Code
{"servers":{"earthdata-mcp":{"type":"http","url":"https://cmr.earthdata.nasa.gov/mcp/v1"}}}
Antigravity
agy mcp add earthdata-mcp https://cmr.earthdata.nasa.gov/mcp/v1
ChatGPT
Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.
OpenAI API (Responses tools)
{"type":"mcp","server_label":"earthdata-mcp","server_url":"https://cmr.earthdata.nasa.gov/mcp/v1","require_approval":"always"}
Grok (xAI API tools)
{"type":"mcp","server_label":"earthdata-mcp","server_url":"https://cmr.earthdata.nasa.gov/mcp/v1"}
Tools
get_citations~438 tokens
Discover citation records directly associated with a collection, or look up a citation by identifier (e.g. DOI). Use this tool to evaluate citation relevance for a collection. Key fields in each returned item: - concept_id: CMR citation concept ID - name: The title or name of the citation - identifget_collections~2018 tokens
Search NASA CMR collections and return up to 10 lightweight normalized results. Key return fields in each item: - concept_id: CMR collection concept ID - native_id: native ID of the collection record - revision_id: revision ID of the collection metadata - provider_id: provider ID of the collectionget_granules~1659 tokens
Search NASA CMR granules for a specific parent collection and return up to 10 lightweight normalized results. Key return fields in each item: - concept_id: CMR granule concept ID - native_id: native ID of the granule record - revision_id: revision ID of the granule metadata - provider_id: providerget_keywords~406 tokens
Discover official Earthdata vocabulary (like 'ATMOSPHERIC WATER VAPOR') directly from NASA's Keyword Management System (KMS). Use this to find the exact preferred labels to construct successful get_collections searches. Key fields in each returned item: - prefLabel: The preferred label to use in seget_services~650 tokens
Search NASA CMR services for a specific parent collection and return all associated normalized UMM-S records. Key fields in each returned item: - concept_id: CMR service concept ID - native_id: native ID of the service record - revision_id: revision ID of the service metadata - provider_id: provideget_tools~720 tokens
Search NASA CMR tools for a specific parent collection and return all associated normalized UMM-T records. Key fields in each returned item: - concept_id: CMR tool concept ID - native_id: native ID of the tool record - revision_id: revision ID of the tool metadata - provider_id: provider ID of theget_variables~488 tokens
Discover scientific variables and measurements associated with a collection, or look up variables by keyword. Use this tool to understand dataset variables, dimensions, and data processing parameters (such as scale, offset, and fill values) before downloading or analyzing data. Key fields in each r
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