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Independent project, not affiliated with Anthropic
pipeworx-io avatar

guif

pipeworx-io/mcp-gbif
HTTPregistry active
Summary

Wraps the Global Biodiversity Information Facility API v1, giving you programmatic access to occurrence records, species data, and taxonomic lookups from GBIF's massive collection of biodiversity observations. No authentication required. Part of the Pipeworx gateway, so you can either use it standalone or tap into their full collection of 250+ data sources. Includes an ask_pipeworx tool that lets you query in plain English instead of constructing API calls manually. Useful when you're building natural history tools, working with species distribution data, or need to validate taxonomic names against a authoritative source. Runs over streamable HTTP, so it works with any MCP client that supports remote transports.

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mcp-gbif

GBIF MCP — wraps the Global Biodiversity Information Facility API v1 (free, no auth)

Part of Pipeworx — an MCP gateway connecting AI agents to 1476+ live data sources.

Tools

ToolDescription
search_speciesSearch for species by common or scientific name. Returns matched taxa with rank, classification status, and taxonomic hierarchy. Use get_species with the taxon key for full details.
get_speciesGet complete taxonomic classification for a species (kingdom through subspecies). Requires taxon key from search_species. Returns all ranks and accepted name status.
get_occurrencesGet georeferenced observation records for a species with coordinates, dates, and sources. Pass either name (a scientific name like "Danaus plexippus" — resolved automatically) or a numeric GBIF backbone key. Filter by country code (e.g., 'US', 'BR', 'AU') to narrow results geographically.
occurrences_nearFind species occurrence records NEAR a location (latitude/longitude + radius). PREFER for "what species/wildlife are found near here", "what birds/plants occur around these coordinates", "is recorded near this spot". Optionally filter by a GBIF taxon key (from search_species) to a group or species — e.g. 212 = birds, 6 = plants, 359 = mammals. Returns georeferenced records with species name, date, locality, and source.

Quick Start

Add to your MCP client (Claude Desktop, Cursor, Windsurf, etc.):

{
  "mcpServers": {
    "gbif": {
      "url": "https://gateway.pipeworx.io/gbif/mcp"
    }
  }
}

What this endpoint actually serves

tools/list at https://gateway.pipeworx.io/gbif/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 1476+ data sources. The only difference is which pack's tools are listed directly; ask_pipeworx reaches all of them from either one.

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 Gbif data" })

The gateway picks the right tool and fills the arguments automatically.

More

  • Docs and guides
  • pipeworx.io

License

MIT

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Registryactive
TransportHTTP
UpdatedApr 3, 2026
View on GitHub

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