GBIF Biodiversity MCP Server

GBIF Biodiversity MCP Server

Search GBIF species taxonomy, occurrence records, datasets, and publishers via MCP.

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README

<div align="center"> <h1>@cyanheads/gbif-biodiversity-mcp-server</h1> <p><b>Search GBIF species taxonomy, occurrence records, datasets, and publishers via MCP. STDIO or Streamable HTTP.</b> <div>13 Tools • 2 Resources</div> </p> </div>

<div align="center">

Version License Docker MCP SDK npm TypeScript Bun

</div>

<div align="center">

Install in Claude Desktop Install in Cursor Install in VS Code

Framework

Public Hosted Server: https://gbif-biodiversity.caseyjhand.com/mcp

</div>


Tools

13 tools for working with GBIF species taxonomy, occurrence records, datasets, and publishers:

Tool Description
gbif_match_species Match a species name against the GBIF backbone taxonomy — returns taxonKey, confidence score, and full classification
gbif_bulk_match_species Match up to 50 scientific names to backbone taxon keys in one call — results in input order, per-name NONE/ERROR isolation
gbif_get_species Fetch a single backbone taxon by key — full classification, authorship, synonymy, vernacular name, descendant count
gbif_search_species Search or browse the GBIF backbone taxonomy by name fragment, rank, kingdom, family, or genus
gbif_get_species_classification Return the root-to-parent classification chain for a taxon — root-first ordered array from kingdom to the queried taxon's immediate parent (the taxon itself is not included)
gbif_get_species_children List direct children of a backbone taxon — genera within a family, species within a genus
gbif_search_occurrences Search 2.4B+ GBIF occurrence records with Darwin Core filters — country, bounding box, WKT geometry, year, month, basis of record
gbif_count_occurrences Count occurrences matching a filter without fetching records — fast single-number response
gbif_get_occurrence Fetch a single occurrence record by key — full Darwin Core record with GADM geography, media, and quality flags
gbif_occurrence_facets Aggregate occurrence counts by a dimension — country, year, basis of record, dataset, kingdom, and more
gbif_search_datasets Search GBIF datasets by keyword, type, country, or publishing organization
gbif_get_dataset Fetch full dataset metadata by UUID — title, description, citation, contacts, license, DOI, coverage
gbif_search_publishers Search GBIF-registered publishing organizations by name fragment or country

gbif_match_species

Match a scientific or common name against the GBIF backbone taxonomy.

  • Fuzzy matching handles minor typos and vernacular names; set strict: true for exact-only matching
  • Returns taxonKey — the backbone key required by gbif_search_occurrences, gbif_count_occurrences, and gbif_occurrence_facets
  • Confidence score 0–100; below 80 warrants review
  • Full classification hierarchy with keys at each rank: kingdom, phylum, class, order, family, genus, species
  • matchType NONE indicates no usable match — try removing strict mode or broadening the name
  • Resolves synonyms: always returns the accepted backbone key regardless of which name form was queried

gbif_bulk_match_species

Match up to 50 scientific names against the GBIF backbone taxonomy in a single call.

  • The batch counterpart to gbif_match_species — built for checklist, inventory, and species-list workflows that would otherwise need one round trip per name
  • Returns one result per input name, in input order; each carries taxonKey, matchType, and confidence
  • Per-name isolation: an unmatched name yields matchType NONE and a per-name lookup failure yields matchType ERROR — neither sinks the rest of the batch
  • strict: true requires an exact match for every name; common names are not supported (use gbif_search_species)

gbif_get_species

Fetch a complete taxon record by GBIF backbone key.

  • Full classification, authorship string, and vernacular (English) name when available
  • taxonomicStatus: ACCEPTED, SYNONYM, DOUBTFUL — when SYNONYM, acceptedKey and accepted identify the current name
  • numDescendants and numOccurrences for scope at a glance
  • extinct field present only when explicitly flagged — not false on unlabeled taxa
  • publishedIn carries the original description citation when available

gbif_search_species

Search or browse the GBIF backbone taxonomy.

  • Accepts name fragments matching scientific and vernacular names
  • Filter by rank, kingdom, family, or genus to scope browsing
  • isExtinct filter for extinct vs. extant taxa
  • Scope to a specific checklist dataset with datasetKey (omit for the GBIF backbone)
  • Paginated — limit up to 1000, use offset to walk through large groups

gbif_get_species_classification

Return the root-to-parent classification chain for a taxon as an ordered array.

  • Root-first from kingdom down to the immediate parent of the queried taxon (kingdom → phylum → class → … → parent)
  • The queried taxon itself is not included — use gbif_get_species for its own record
  • Each entry: rank, canonical name, scientific name, taxon key
  • Useful for building taxonomic trees or placing an unfamiliar taxon in context without manual backbone navigation

gbif_get_species_children

List direct children of a backbone taxon.

  • Genera within a family, species within a genus, subspecies within a species
  • Each child: key, name, rank, taxonomic status, common name, occurrence count, descendant count
  • Paginated — limit up to 1000, iterate with offset for large groups like Coleoptera

gbif_search_occurrences

Search 2.4B+ GBIF occurrence records with full Darwin Core filtering.

  • Use taxonKey from gbif_match_species for reliable results — resolves synonyms automatically; scientificName filter does not
  • Geographic filters: country (ISO 3166-1 alpha-2), bounding box (decimalLatitude/decimalLongitude ranges as "min,max"), or WKT polygon (geometry)
  • Temporal filters: year as single year or range, month (1–12) for seasonal queries
  • basisOfRecord enum: HUMAN_OBSERVATION, PRESERVED_SPECIMEN, MACHINE_OBSERVATION, and more
  • hasCoordinate to require or exclude georeferenced records
  • Pagination capped at offset+limit ≈ 100,000 — use gbif_occurrence_facets for aggregate analysis beyond this

gbif_count_occurrences

Count occurrences matching a filter without fetching any records.

  • Backed by the lightweight /occurrence/count endpoint — fast single-number response
  • Supported filters: taxonKey, country, isGeoreferenced, datasetKey, year
  • Use to assess result set size before deciding whether to paginate a full search

gbif_get_occurrence

Fetch a single occurrence record by GBIF occurrence key.

  • Complete Darwin Core record — all coordinate fields, administrative geography (continent, country, state/province, locality), dates
  • occurrenceID, full classification (class/classKey), GADM administrative units (levels 0–2, each with a stable GID and name), and source identifiers
  • Collections metadata: institution code, collection code, catalog number
  • Collector and identifier names, individual count, sex, life stage
  • Associated media (images, audio, video) with URLs and license
  • GBIF data quality issue flags for provenance assessment

gbif_occurrence_facets

Aggregate occurrence counts across a dimension.

  • Facets: COUNTRY, YEAR, BASIS_OF_RECORD, DATASET_KEY, KINGDOM_KEY, PHYLUM_KEY, CLASS_KEY, ORDER_KEY, FAMILY_KEY, GENUS_KEY, SPECIES_KEY, PUBLISHING_COUNTRY, MONTH
  • Scope with taxonKey, country, year, geometry, or basisOfRecord filters
  • Returns top-N values ranked by count (up to facetLimit, max 100) — no record payloads
  • Page past the first facetLimit with facetOffset (advance by facetLimit per page) to walk high-cardinality facets like DATASET_KEY; enrichment echoes the applied facetOffset and sets moreValuesLikely when a full page suggests more values remain
  • Core tool for distribution analysis ("which countries have the most records?") and trend queries ("how has observation volume changed since 2010?")

gbif_search_datasets

Search GBIF datasets by keyword, type, country, or publishing organization.

  • Filters: free-text query, dataset type (OCCURRENCE, CHECKLIST, METADATA, SAMPLING_EVENT), publishing country, hosting organization UUID
  • Returns title, type, description, license, DOI, and record count. The description is a 300-character preview — descriptionTruncated flags when it was shortened, and gbif_get_dataset returns the full text
  • Use hostingOrg from gbif_search_publishers to scope to datasets from one organization
  • Paginated — limit up to 1000

gbif_get_dataset

Fetch full dataset metadata by UUID.

  • Full description, citation text (for academic reference), license, DOI
  • Contacts with role, name, organization, and email
  • Temporal and geographic coverage ranges when the publisher declares them
  • numConstituents for aggregate datasets (e.g. iNaturalist, eBird)
  • Use after gbif_search_datasets or when an occurrence record's datasetKey needs provenance detail

gbif_search_publishers

Search organizations registered with GBIF.

  • Filter by name fragment or country
  • Returns organization key, title, and country — sufficient to chain into gbif_search_datasets with hostingOrg
  • Paginated — limit up to 1000

Resources

Type Name Description
Resource gbif://species/{taxonKey} Taxon record from the GBIF backbone — classification, authorship, synonymy status, vernacular name
Resource gbif://dataset/{datasetKey} Dataset metadata — title, description, citation, license, contacts, coverage

Features

Built on @cyanheads/mcp-ts-core:

  • Declarative tool definitions — single file per tool, framework handles registration and validation
  • Unified error handling across all tools
  • Pluggable auth (none, jwt, oauth)
  • Swappable storage backends: in-memory, filesystem, Supabase, Cloudflare KV/R2/D1
  • Structured logging with optional OpenTelemetry tracing
  • Runs locally (stdio/HTTP) or on Cloudflare Workers from the same codebase

GBIF-specific:

  • Full GBIF REST API v1 coverage: species taxonomy, occurrences, datasets, and publishers
  • gbif_match_species as the entry point — resolves synonyms to backbone taxon keys used throughout
  • Occurrence pagination cap detection with paginationNote — redirects to facet aggregation before hitting the ~100,000 row limit
  • WKT polygon geometry support for geographic occurrence queries
  • Darwin Core field mapping with explicit provenance on sparse upstream fields

Agent-friendly output:

  • gbif_match_species is the mandatory first step — all downstream tools document which key they expect
  • Graceful sparse-field handling — optional fields absent from the API response are omitted rather than null-filled
  • Discriminated error contracts with typed reasons, structured recovery hints, and when documentation per tool

Getting started

Self-Hosted / Local

Add the following to your MCP client configuration file.

{
  "mcpServers": {
    "gbif-biodiversity-mcp-server": {
      "type": "stdio",
      "command": "bunx",
      "args": ["@cyanheads/gbif-biodiversity-mcp-server@latest"],
      "env": {
        "MCP_TRANSPORT_TYPE": "stdio",
        "MCP_LOG_LEVEL": "info"
      }
    }
  }
}

Or with npx (no Bun required):

{
  "mcpServers": {
    "gbif-biodiversity-mcp-server": {
      "type": "stdio",
      "command": "npx",
      "args": ["-y", "@cyanheads/gbif-biodiversity-mcp-server@latest"],
      "env": {
        "MCP_TRANSPORT_TYPE": "stdio",
        "MCP_LOG_LEVEL": "info"
      }
    }
  }
}

Or with Docker:

{
  "mcpServers": {
    "gbif-biodiversity-mcp-server": {
      "type": "stdio",
      "command": "docker",
      "args": ["run", "-i", "--rm", "-e", "MCP_TRANSPORT_TYPE=stdio", "ghcr.io/cyanheads/gbif-biodiversity-mcp-server:latest"]
    }
  }
}

For Streamable HTTP, set the transport and start the server:

MCP_TRANSPORT_TYPE=http MCP_HTTP_PORT=3010 bun run start:http
# Server listens at http://localhost:3010/mcp

Prerequisites

Installation

  1. Clone the repository:
git clone https://github.com/cyanheads/gbif-biodiversity-mcp-server.git
  1. Navigate into the directory:
cd gbif-biodiversity-mcp-server
  1. Install dependencies:
bun install

Configuration

All configuration is validated at startup via Zod schemas in src/config/server-config.ts. Key environment variables:

Variable Description Default
MCP_TRANSPORT_TYPE Transport: stdio or http stdio
MCP_HTTP_PORT HTTP server port 3010
MCP_HTTP_ENDPOINT_PATH HTTP endpoint path where the MCP server is mounted /mcp
MCP_PUBLIC_URL Public origin override for TLS-terminating reverse-proxy deployments none
MCP_AUTH_MODE Authentication: none, jwt, or oauth none
MCP_LOG_LEVEL Log level (debug, info, warning, error, etc.) info
MCP_GC_PRESSURE_INTERVAL_MS Opt-in Bun-only forced-GC pressure loop (ms). Try 60000 if RSS grows under sustained HTTP load. 0 (disabled)
LOGS_DIR Directory for log files (Node.js only) <project-root>/logs
STORAGE_PROVIDER_TYPE Storage backend: in-memory, filesystem, supabase, cloudflare-kv/r2/d1 in-memory
GBIF_BASE_URL GBIF API base URL override https://api.gbif.org/v1
GBIF_REQUEST_TIMEOUT_MS HTTP request timeout in milliseconds 10000
OTEL_ENABLED Enable OpenTelemetry false

Running the server

Local development

  • Build and run the production version:

    # One-time build
    bun run rebuild
    
    # Run the built server
    bun run start:http
    # or
    bun run start:stdio
    
  • Run checks and tests:

    bun run devcheck  # Lints, formats, type-checks, and more
    bun run test      # Runs the test suite
    

Project structure

Directory Purpose
src/mcp-server/tools Tool definitions (*.tool.ts). Thirteen tools across species taxonomy, occurrences, datasets, and publishers.
src/mcp-server/resources Resource definitions. Species and dataset stable-URI resources.
src/services/gbif GBIF REST API service layer — client, request handling, type definitions.
src/config Server-specific environment variable parsing and validation with Zod.
tests/ Unit and integration tests, mirroring the src/ structure.

Development guide

See CLAUDE.md for development guidelines and architectural rules. The short version:

  • Handlers throw, framework catches — no try/catch in tool logic
  • Use ctx.log for logging, ctx.state for storage
  • Register new tools and resources in the createApp() arrays

Contributing

Issues and pull requests are welcome. Run checks and tests before submitting:

bun run devcheck
bun run test

License

This project is licensed under the Apache 2.0 License. See the LICENSE file for details.

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