Olaverse Lab

Ingested from the official MCP Registry

FastDrop pulled this entry from the official MCP Registry as io.github.Olaverse-Labs/olaverse-mcp and probed the endpoint. The maker did not submit it, so the outbound link is not endorsed and the description is not theirs.

If this is your server, claim the listing to edit it and take ownership. The registry index lists everything else still awaiting a probe.

Tools this endpoint exposes

Read directly from the endpoint on 6 Nov 2026. Not supplied by the maker.

• extract_document

  Turn a document into JSON shaped like `template`, with a calibrated confidence (0-1) for every field. template: the shape of the answer; each leaf names a type: "verbatim-string" (copied exactly)

• get_extraction_job

  The result of a long-document extraction job that extract_document left running (by its id, exj_...).

• decide

  Answer typed questions about a message, ticket, record or form, with a calibrated probability for each answer. state: the thing to decide about: a string (e.g. a customer message) or a JSON objec

• detect_language

  Identify the language of a text among 608 languages (built African-first; good on very short text). mode: "traffic" (user messages and chat; favours languages people actually use) or "coverage" (

• restore_diacritics

  Put back diacritics, tone marks or Arabic vowel marks in text typed without them. language: yor (Yorùbá), ibo (Igbo), hau (Hausa), vie, pol, tur, por, spa, fra, ita or ara (Arabic). Example:

• generate_questions

  Write n natural, search-style questions that a passage answers, in the passage's own language (25 languages). Useful for FAQs, study cards and search or RAG training data. passage: up to 8,000 ch