classifier.dev

Ingested from the official MCP Registry

FastDrop pulled this entry from the official MCP Registry as dev.classifier/classifier and probed the endpoint. The maker did not submit it, so the outbound link is not endorsed and the description is not theirs.

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Tools this endpoint exposes

Read directly from the endpoint on 19 Sept 2026. Not supplied by the maker.

• classify_texts

  Sort up to 1,000 texts into exactly one of your own labels each, with a calibrated confidence per answer. Use this when you have many items to triage, route, filter or bucket and do not want to read t

• classify_multi_label

  Like classify_texts, but each text gets every label that applies (possibly none), with an independent 0-1 score per label. Use this for tagging — topics of an article, components touched by a ticket —

• count_labels

  Classify up to 1,000 texts and return only a histogram: how many landed on each label, and how many the model was unsure about. Use this when you want the shape of a corpus — what share of feedback is

• review_uncertain

  Classify up to 1,000 texts and return only the ones whose confidence fell under a threshold (default 0.7), each with its two most likely labels. Use this after a bulk classification to decide which it

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