Skip to main content
Glama

Server Details

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

If you are the author of this connector, you can claim ownership with GitHub, an HTTP challenge, or a DNS record. Claimed connector authors can inspect health checks, view analytics, and manage their listing.
Status
Unhealthy
Last Tested
Transport
Streamable HTTP
URL
Repository
cyanheads/gbif-biodiversity-mcp-server
GitHub Stars
1
Server Listing
GBIF Biodiversity MCP Server

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. 2 tool updates
    • Changedgbif_match_species1 field changed
      • changedInput schema / properties / name / description
        Previous value: -"Scientific or common name to match. Examples: \"Parus major\", \"Great Tit\", \"Homo sapiens\". Fuzzy matching handles minor typos."New value: +"Scientific name to match. Examples: \"Parus major\", \"Agaricus bisporus\", \"Homo sapiens\". Fuzzy matching handles minor spelling variations. Common names are not supported — use gbif_search_species for vernacular name searches."
    • Changedgbif_search_occurrences1 field changed
      • removedOutput schema / properties / paginationNote
        Removed value: -{
        -  "description": "Warning when approaching the ~100,000 offset+limit cap. Use gbif_occurrence_facets or refine filters for larger result sets.",
        -  "type": "string"
        -}
  2. 12 tool updates
    • First observedgbif_count_occurrences
    • First observedgbif_get_dataset
    • First observedgbif_get_occurrence
    • First observedgbif_get_species
    • First observedgbif_get_species_children
    • First observedgbif_get_species_classification
    • First observedgbif_match_species
    • First observedgbif_occurrence_facets
    • First observedgbif_search_datasets
    • First observedgbif_search_occurrences
    • First observedgbif_search_publishers
    • First observedgbif_search_species

Frequently Asked Questions

Discussions

No comments yet. Be the first to start the discussion!

Related MCP Connectors

Related MCP Servers

  • F
    license
    Not graded
    quality
    D
    maintenance
    Enables AI assistants to query and retrieve biodiversity data from the Global Biodiversity Information Facility (GBIF), including species, occurrences, datasets, and literature.
    -
  • A
    license
    Not graded
    quality
    C
    maintenance
    Enables querying biodiversity data from the Global Biodiversity Information Facility (GBIF) API v1, supporting species occurrence searches and other GBIF endpoints through natural language.
    5
    MIT
Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

A4.4/5.0
Disambiguation5/5

Each tool clearly targets a distinct operation on a specific resource type (occurrences, species, datasets, publishers). For example, count_occurrences, search_occurrences, and occurrence_facets serve different purposes (counting, searching, aggregating), and get_species vs search_species vs match_species are well-differentiated. No two tools have overlapping functionality.

Naming Consistency4/5

All tools use the 'gbif_' prefix and mostly follow a verb_noun pattern (e.g., gbif_count_occurrences, gbif_get_dataset, gbif_search_occurrences). The only minor deviation is gbif_occurrence_facets, which places the verb second; however, the pattern is still highly recognizable and consistent overall.

Tool Count5/5

With 12 tools covering search, retrieval, counting, faceting, and matching across occurrences, species, datasets, and publishers, the tool count is well-proportioned to the server's purpose. Each tool addresses a specific need without redundancy or bloat.

Completeness5/5

The tool set covers the essential GBIF operations: name resolution (match_species), occurrence search and counting (search_occurrences, count_occurrences, occurrence_facets), species taxonomy (get_species, get_species_children, get_species_classification, search_species), dataset and publisher metadata (search_datasets, get_dataset, search_publishers), and detailed occurrence records (get_occurrence). No obvious dead ends or missing operations for typical biodiversity queries.