<b>Query 700,000+ ocean & atmospheric datasets from inside Claude, ChatGPT, Gemini, Cursor, and any MCP client — no API keys, no schemas, no glue
MCP MCP server is a hosted integration for AI assistants that speak the Model Context Protocol. Query 700,000+ ocean & atmospheric datasets from inside Claude, ChatGPT, Gemini, Cursor, and any MCP client — no API keys, no schemas, no glue code..
AQUAVIEW MCP is a hosted Model Context Protocol server that gives any LLM agent direct, structured access to a unified catalog of 700,000+ oceanographic, atmospheric, and marine datasets drawn from 68 authoritative sources — NOAA, all 11 IOOS Regional Associations, the World Ocean Database, the Global Argo array, GOES-R satellites, NEXRAD weather radar, ESA Sentinel, IFREMER, EMODnet, Ocean Networks Canada, and more.
Being a remote server, there is no local install. You register the endpoint with your client, authorise it once, and the tools appear.
Once MCP is connected, these are the calls the assistant has available:
list_collections — Enumerate all 68 sources with bbox, temporal extent, keywordssearch_datasets — Free-text + spatial + temporal + CQL2 search across the unified STAC catalogaggregate — Counts, geohash heatmaps, per-collection breakdowns, datetime histogramsget_item — Fetch a single STAC item with full properties and asset download URLsCursor — Settings → MCP → Add new MCP Server, paste the URL above, type httpThis sits in the developer tooling group, where several servers overlap in what they claim to do but differ sharply once you actually set them up. MCP's toolset — list_collections, search_datasets, aggregate and 2 more — is a fair guide to whether it matches your workflow. It is maintained by aquaview-dah; worth a glance at recent repository activity before you build anything load-bearing on it.
This entry was verified against MCP's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.
| Tool | What it does |
|---|---|
| list_collections | Enumerate all 68 sources with bbox, temporal extent, keywords |
| search_datasets | Free-text + spatial + temporal + CQL2 search across the unified STAC catalog |
| aggregate | Counts, geohash heatmaps, per-collection breakdowns, datetime histograms |
| get_item | Fetch a single STAC item with full properties and asset download URLs |
| Cursor | Settings → MCP → Add new MCP Server, paste the URL above, type http. |
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