paleobiology-mcp-server

Deep-time biodiversity over the Paleobiology Database — fossil occurrences, taxon ranges, diversity through time, and the geologic time scale, by clade, age…

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What it can do

  • 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 (
  • 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/la
  • 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 M

What data it sees

Do you need an account

No: the server works without sign-in

Deep-time biodiversity over the Paleobiology Database — fossil occurrences, taxon ranges, diversity through time, and the geologic time scale, by clade, age, and place.

How to connect

How to connect paleobiology-mcp-server to Claude

The server address to paste into Claude settings:

https://paleobiology-mcp-server--cyanheads.run.tools

  1. Open Claude (claude.ai or the desktop app).
  2. Go to Settings → Connectors.
  3. Click Add custom connector.
  4. Paste the server address copied below into Remote MCP server URL and click Add.
  5. In a chat, click + → Connectors and switch the new connector on.

Custom connectors are available on Free, Pro, Max, Team and Enterprise plans (Free is limited to one). On Team and Enterprise an organization Owner adds the connector first under Organization settings → Connectors.

Authorization

After you click Add, a sign-in window for the service opens. Sign in with your own account and approve access. Claude never sees your password.

How to connect paleobiology-mcp-server to ChatGPT

The server address to paste into ChatGPT settings:

https://paleobiology-mcp-server--cyanheads.run.tools

  1. Open ChatGPT in a browser (chatgpt.com). A Plus, Pro, Business, Enterprise or Edu plan is required.
  2. Turn on developer mode once: Settings → Apps → Advanced settings → Developer mode.
  3. Open Settings → Connectors and click Create.
  4. Fill in the form: Name (anything), Description (one line about what the service does), MCP server URL (copy it below).
  5. Under Authentication choose OAuth if the service requires sign-in, otherwise None. Click Create.
  6. In a new chat open + → Apps/Connectors and enable the connector.

OpenAI has renamed this section before (Connectors → Apps/Plugins). If the label differs, search settings for "developer mode". On Business/Enterprise workspaces an admin must allow custom connectors first.

Authorization

On first use ChatGPT opens the service's sign-in window. Sign in and approve access.

How to connect paleobiology-mcp-server to Cursor

The server address to paste into Cursor settings:

https://paleobiology-mcp-server--cyanheads.run.tools

Fastest: click Open in Cursor below and confirm the prompt.

Manually:

  1. In Cursor open Settings → Cursor Settings → MCP and click Add new global MCP server.
  2. Paste the JSON copied below into ~/.cursor/mcp.json (per project: .cursor/mcp.json in the repo root).
  3. Save the file. The server appears in the MCP list; authorize it there if asked.

Authorization

If the service needs sign-in, an authorize button appears next to the server in the MCP list.

Server tool list (7)

Raw names from tools/list. Only developers need these.

paleobiology_search_occurrencesSearch 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 for an exact taxon. Bound the age by a named interval (e.g. "Maastrichtian") or a max_ma/min_ma range, and/or a lng/lat bounding box; scope to a single locality with collection_no (take it from a paleobiology_search_collections row). At least one filter is required — taxon, time, place, environment, or collection_no. Every row carries two distinct coordinate systems — modern lng/lat (where the rock is today) and paleo lng/lat (where the landmass sat at deposition) — plus the formation, age interval, and higher classification (phylum through genus); never plot a deep-time occurrence on a modern coastline. Resolve a name with paleobiology_get_taxon first if unsure. Broad queries return many rows: an inline preview answers the immediate question, and when the set outgrows that preview the matching occurrences — up to the per-call cap — stage on a DataCanvas (canvas_id + table_name, returned only then) for SQL via paleobiology_dataframe_query (count by interval, group by formation/country, map by region). The response reports how many occurrences matched in total, which rows this page covers, and the offset that reaches the next page — page through the whole match set with limit/offset.
paleobiology_get_taxonResolve 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 this first to resolve a name into the accepted name and taxon_no, then pass that id as base_id to paleobiology_search_occurrences, paleobiology_get_diversity, or paleobiology_search_collections for a clade-inclusive filter that carries no name ambiguity (the same id also appears as accepted_no on occurrence rows). Set show_children to also list immediate child taxa. PBDB taxonomy is opinionated and can differ from GBIF's backbone, so the accepted name may differ from the name you searched.
paleobiology_get_diversityCompute 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 the two) and bound the span by a named interval (e.g. "Mesozoic") or a max_ma/min_ma range; choose what to count (genera, species, or families) and the bin resolution. The full bin set returns inline — a diversity series is a bounded set of geologic intervals — so you read the curve, the turnover, and the per-bin origination/extinction directly. Counts reflect SAMPLED diversity, biased by collection effort and rock availability, not true past diversity.
paleobiology_list_intervalsLook 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 its 100.5–66.0 Ma boundaries (and back). Filter by a name substring, a Ma range (overlap match), and/or a level; call with no filters to browse the full scale. Browsing and every name on the bundled ICS international-scale snapshot are answered offline. A name the snapshot does not carry — the sub-stage and regional names that occurrence and collection rows report, such as "Late Maastrichtian" or "Lancian" — costs one PBDB lookup across its other time scales; the response names which source answered and which scale the interval belongs to.
paleobiology_search_collectionsFind 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. Filter by a clade-inclusive base_name (or base_id, the same clade by resolved taxon id), a named interval or max_ma/min_ma range, a lng/lat bounding box, a formation or lithology name, and/or an environment. Results page inline via limit/offset (the response discloses when more remain). Take a collection_no from a row and pass it — or the same bbox+interval — to paleobiology_search_occurrences to see the actual fauna found together.
paleobiology_dataframe_queryRun 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 filter by a paleo/modern coordinate range. The classification column is JSON — roll up by rank with json_extract_string(classification, '$.family') (also $.phylum, $.class, $.order, $.genus). Staged rows are occurrences, so collection-only fields such as lithology are not present. Reference tables by the table_name that search_occurrences returned — call paleobiology_dataframe_describe first if you do not know the table or column names. SELECT only; writes and file-reading functions are rejected.
paleobiology_dataframe_describeList 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.