Paleobiology MCP Server

Last 30 days

Uptime

100%

Response time

261 ms typical, 261 ms slowest 5%

Last check

8 h ago

Next check

any minute now

How to call it

Add it to any MCP client that supports remote servers.

{
  "mcpServers": {
    "paleobiology-mcp-server": {
      "type": "http",
      "url": "https://paleobiology.caseyjhand.com/mcp"
    }
  }
}

7 tools

• paleobiology_search_occurrences

  Search fossil occurrences filtered by taxon, geologic time, geography, and depositional environment — the flagship. Use base_name for a clade and all its descendants (what "Tyrannosaurus occurrences" usually means), base_id for that same clade by resolved taxon id, or taxon_name

• paleobiology_get_taxon

  Resolve a taxon by name (e.g. "Tyrannosaurus") or by integer taxon_no to its accepted name, rank, higher classification, immediate parent, fossil occurrence count, and first/last appearance (FAD/LAD) range in millions of years — "when did this clade exist, and what is it." Run th

• paleobiology_get_diversity

  Compute a diversity / origination / extinction curve for a clade across geologic time, binned by period, epoch, or age — answers "plot dinosaur genus diversity across the Mesozoic." Pass a clade-inclusive base_name (or base_id, the same clade by resolved taxon id — exactly one of

• paleobiology_list_intervals

  Look up the geologic time scale — eons, eras, periods, epochs, and ages with their absolute-age boundaries in millions of years (Ma) and nesting. This is the reference that grounds every temporal filter on the other tools and translates a named interval like "Late Cretaceous" to

• paleobiology_search_collections

  Find fossil collections (localities) by area and geologic time — "what has been dug up here, and from what rock." Each locality returns its location, age (named interval and Ma), formation and strata, lithology, depositional environment, and the count of co-occurring fossils. Fil

• paleobiology_dataframe_query

  Run a read-only SQL SELECT against occurrence result sets staged on a DataCanvas by paleobiology_search_occurrences. This is how you analyze a large fossil set without re-fetching it: count occurrences by early_interval, group by formation, country (cc), or accepted_name, or filt

• paleobiology_dataframe_describe

  List the tables and their columns staged on a DataCanvas by paleobiology_search_occurrences. Call this before paleobiology_dataframe_query to discover the exact table_name and column names to reference in SQL.

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