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classifier.dev

dev.classifier/classifier · v1.0.0 · MCP 2025-11-25

Sort up to 1,000 texts into your own labels with a calibrated confidence per answer. No API key.

Reachability reachable
checked 2026-09-20 05:30 UTC
Registry status active
Tools pinned 5
a4d2b6494a70
Tools last changed unchanged since first capture 2026-09-20
Repo last push 2026-09-20
GitHub stars 289

Provenance

Registry namespace dev.classifier (domain verified by the official registry)
Repository github.com/mrmps/classifier-dev
Website https://classifier.dev
Remote endpoints
https://classifier.dev/mcp (streamable-http)

Observed changes

When (UTC)EventDetail
2026-09-20 05:30 first capture 5 tools pinned

Pinned tool definitions (5)

ToolDescription
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 them all: search results before...
classify_dimensions Classify each text by several named dimensions, such as team, urgency and kind, in one request. Returns a label, confidence, scores and model for each field. At most 1,000 item × dimension decisions; every field counts toward the quota....
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 — where one answer is not enough. Set...
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 bugs vs praise, how many search...
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 items deserve your own attention: the...
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