@pipeworx/nasa-gibs

MCP serverEverything else

NASA GIBS MCP, the satellite-imagery layer catalogue behind Worldview.

Available today. Use it from your connected AI after setup.

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/mcp

    Add 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=eyJ1cmwiOiJodHRwczovL2dhdGV3YXkucGlwZXdvcnguaW8vbmFzYS1naWJzL21jcCJ9

    Open the link and Cursor adds the server at that address.

  • ChatGPT

    https://gateway.pipeworx.io/nasa-gibs/mcp

    In 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

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.
  • MatrixWidth is 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 from ScaleDenominator the way WMTS specifies: tileSpan = ScaleDenominator × 0.00028 m × TileWidth ÷ metresPerUnit, with metresPerUnit = 111319.49 for epsg4326 (degrees) and 1 for the metre-based projections.
  • TopLeftCorner is written x-then-y (-180 90), not the lat-then-lon axis order EPSG:4326 formally prescribes.
  • Lat/lon → tile conversion is offered for epsg4326 and epsg3857 only. The two polar stereographic grids need tile_row/tile_col directly, 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