@pipeworx/nasa-gibs
MCP serverEverything elseNASA GIBS MCP, the satellite-imagery layer catalogue behind Worldview.
Available today. Use it from your connected AI after setup.
No other account needed.
Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
Then ask your AI: use @pipeworx/nasa-gibs
Install @pipeworx/nasa-gibs
The server’s own address, for the clients that take one directly. Or connect ahel onceand every client you use reads it from one address, with the account kept on ahel rather than in each client’s config.
Claude Code
claude mcp add --transport http --scope user pipeworx-nasa-gibs 'https://gateway.pipeworx.io/nasa-gibs/mcp'Run it once in your project, then open /mcp to approve any sign-in the server asks for.
Claude Desktop
https://gateway.pipeworx.io/nasa-gibs/mcpAdd a custom connector in Settings, paste this address, and approve the sign-in.
Cursor
cursor://anysphere.cursor-deeplink/mcp/install?name=pipeworx-nasa-gibs&config=eyJ1cmwiOiJodHRwczovL2dhdGV3YXkucGlwZXdvcnguaW8vbmFzYS1naWJzL21jcCJ9Open the link and Cursor adds the server at that address.
ChatGPT
https://gateway.pipeworx.io/nasa-gibs/mcpIn Settings, enable Developer mode, create an MCP app, and paste this address. Your plan and workspace must allow custom apps.
Codex
codex mcp add pipeworx-nasa-gibs --url 'https://gateway.pipeworx.io/nasa-gibs/mcp'Run it once, then sign in with codex mcp login pipeworx-nasa-gibs if the server asks for an account.
From the project's README
As published by pipeworx-io/mcp-nasa-gibs in README.md.
NASA GIBS — the ~1,300-layer global satellite imagery catalogue behind NASA Worldview, with daily true-colour mosaics, thermal anomalies, sea-surface temperature, aerosols, snow and ice cover and night lights, most of them with a multi-decade daily time series.
Part of Pipeworx — an MCP gateway connecting AI agents to 1679+ live data sources.
Tools
gibs_list_layers(query?, projection?, limit?)— search the catalogue by subject or identifier; returns each layer's id, title, grid and available date range.gibs_layer_info(layer, projection?)— one layer's full time coverage, native resolution, format, extent, colour map and legend URLs, and tile template.gibs_tile_url(layer, date?, latitude?, longitude?, zoom?, tile_row?, tile_col?, projection?)— a ready-to-fetch image tile URL, with the tile's own geographic bounds.
Auth
Keyless. No registration, no rate-limit headers.
Data sources
- https://gibs.earthdata.nasa.gov/wmts/{projection}/best/1.0.0/WMTSCapabilities.xml —
the layer catalogue, one document per projection (
epsg4326,epsg3857,epsg3413,epsg3031).
Things the next person would otherwise rediscover
- There is no JSON layer index. The WMTS capabilities XML is the only
machine-readable catalogue and it is ~5 MB per projection. It is parsed once
per isolate and the (much smaller) result cached in module scope for 6 hours;
a per-call re-parse would spend seconds of CPU on a document that changes
about once a day. The cache is populated only inside a request — never at
module load, where the Workers runtime reports
Date.now()as 1970 and every entry would read as infinitely stale. - Each layer has several
<ResourceURL resourceType="tile">templates. Only one carries{Time}; that is the one worth handing a caller. The others drop the date silently and serve whatever GIBS considers current. MatrixWidthis not a power of two (levels go 2, 3, 5, …), so tile row/column cannot be derived from the zoom level alone. They are computed fromScaleDenominatorthe way WMTS specifies:tileSpan = ScaleDenominator × 0.00028 m × TileWidth ÷ metresPerUnit, withmetresPerUnit= 111319.49 forepsg4326(degrees) and 1 for the metre-based projections.TopLeftCorneris written x-then-y (-180 90), not the lat-then-lon axis order EPSG:4326 formally prescribes.- Lat/lon → tile conversion is offered for
epsg4326andepsg3857only. The two polar stereographic grids needtile_row/tile_coldirectly, and the tool says so rather than returning a wrong tile.
Quick Start
Add to your MCP client (Claude Desktop, Cursor, Windsurf, etc.):
{
"mcpServers": {
"nasa-gibs": {
"url": "https://gateway.pipeworx.io/nasa-gibs/mcp"
}
}
}
What this endpoint actually serves
tools/list at https://gateway.pipeworx.io/nasa-gibs/mcp returns the tools in the table
above plus the shared Pipeworx meta-tools — ask_pipeworx,
discover_tools, search_within, remember/recall and the rest of the
gateway-wide set. So the tool count you see is larger than this table: a
single-pack endpoint currently lists roughly 30 shared tools alongside the
pack's own. The connection's initialize response states its exact scope, and
is the authoritative answer for a given day.
This is deliberate, not multiplexing by accident. The meta-tools are what let a
scoped connection answer a question this pack does not cover — via
ask_pipeworx, which routes across the whole catalog — without you adding a
second MCP server. There is currently no way to mount a pack endpoint without
them; if the extra schemas cost you more context than the routing is worth,
connect to the full gateway once rather than to several pack endpoints.
Or connect to the full Pipeworx gateway to get every pack's tools listed directly, instead of just this one's:
{
"mcpServers": {
"pipeworx": {
"url": "https://gateway.pipeworx.io/mcp"
}
}
}
Both URLs reach the same gateway and the same 1679+ data sources. The
only difference is which pack's tools are listed directly; ask_pipeworx
reaches all of them from either one.
No MCP client? Call it over HTTP
curl -X POST https://gateway.pipeworx.io/v1/tools/gibs_list_layers \
-H 'Content-Type: application/json' \
-d '{"query":"fires","limit":5}'
No account needed for the first calls. Inspect any tool: GET https://gateway.pipeworx.io/v1/tools/gibs_list_layers. Find one: POST https://gateway.pipeworx.io/v1/tools/search_packs with {"query":"..."}.
Standalone (no gateway account)
This package also runs as a local stdio MCP server — no Pipeworx account, no gateway round-trip:
{
"mcpServers": {
"nasa-gibs": {
"command": "npx",
"args": ["-y", "@pipeworx/mcp-nasa-gibs"]
}
}
}
Or run it directly to confirm it starts:
npx -y @pipeworx/mcp-nasa-gibs
It speaks MCP over stdin/stdout and answers initialize/tools/list/tools/call
for only this pack's tools — none of the shared meta-tools the gateway
connection above adds. Same source, same tools, no ask_pipeworx routing.
Using with ask_pipeworx
Instead of calling tools directly, you can ask questions in plain English — this works on the pack endpoint above as well as on the full gateway:
ask_pipeworx({ question: "your question about Nasa Gibs data" })
The gateway picks the right tool and fills the arguments automatically.
More
License
MIT
Advanced
- Delivery
- nasa-gibs MCP server → your ahel connector (mcp.ahel.ai) → your AI.
- Catalog kind
- mcp-server
- Key
io-github-pipeworx-io-nasa-gibs- Source
- github.com/pipeworx-io/mcp-nasa-gibs
- Hosted endpoint
https://gateway.pipeworx.io/nasa-gibs/mcp