pulsemcp Safe content atomic mcp-remote

NASA CMR (Common Metadata Repository)

CMR-MCP provides a bridge between AI assistants and NASA's Common Metadata Repository (CMR) through the Earthaccess library, enabling search and retrieval of NASA Earth science datasets. Developed by PO.DAAC, this server implementation exposes a single tool that allows querying datasets by date range, DAAC provider, and keywords, returning structured information including concept IDs, descriptions, and shortnames. The server is particularly valuable for researchers and data scientists who need to discover and access NASA's extensive catalog of Earth observation data without leaving their AI assistant interface.

Cognium trust score

50%

Tier

Unverified

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.

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Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: search
Source: PulseMCP
Repository: github.com/podaac/cmr-mcp
Author type: human
Updated: 2026-04-25

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MCP

Resolve NASA CMR (Common Metadata Repository) from your agent

Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.

One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.

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

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"