@pipeworx/pangaea

Connect: https://pipeworx.io/mcp — every tool in the catalog, including @pipeworx/pangaea’s. Install: one-click buttons

No MCP client? Skip the connection: POST https://gateway.pipeworx.io/v1/tools/search_packs {"query":"..."} to find a tool below, GET /v1/tools/<name> for its schema, POST the same URL with arguments for the data — see For AI agents.

Tools: 5

PANGAEA MCP — earth + environmental science data publisher (DOIs, datasets, metadata). Keyless Elasticsearch metadata endpoint.

Tools

• search(q?, size?, from?) — full-text dataset search
• dataset(id) — single dataset metadata by PANGAEA ID (numeric)
• dataset_by_doi(doi) — dataset by DOI (e.g. 10.1594/PANGAEA.999999)
• recent(size?, days?) — recently published datasets
• facets(field, q?, size?) — facet aggregation on a field (author, parameter, project, etc.)

Data source

https://ws.pangaea.de/es/pangaea/panmd

Tools

• search — Full-text search of PANGAEA earth/environmental science datasets (oceanography, climate, geology, biology, paleo). Returns dataset title, DOI, authors, year, and topics. Use for questions like “ocean
• dataset — Full metadata for one PANGAEA dataset by its numeric ID (e.g. 921708).
• dataset_by_doi — Full metadata for one PANGAEA dataset by DOI (e.g. “10.1594/PANGAEA.921708” or the doi.org URL).
• recent — Most recently published PANGAEA datasets (newest DOI registrations first).
• facets — Aggregate matching datasets by a facet — top values of a category field (e.g. “agg-mainTopic”, “agg-author”, “agg-method”, “agg-location”, “agg-campaign”) with counts. Optionally scoped to a full-text