MCP serverdev.classifier/classifier

Sort up to 1,000 texts into your own labels with a calibrated confidence per answer.

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

UNRATEDActivestreamable-httpclassifier.dev

Overview

Score?

UNRATED 0.606

of what a free look can see, on 17 looks

Looks

last 1 hr ago

Tools

changed 1 hr ago

URL

classifier.dev/mcp

streamable-http

Says it is

classifier.dev 1.0.0

protocol 2025-06-18

In the record since

14 days ago

0median 0.606 · this server 0.606 · highest on record 0.8561

The tools this server lists, read out of the definition it returned
Tool	Schema
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 × d	input · no output
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 t	input · output
classify_texts Sort up to 1,000 texts into exactly one of your own labels each, with confidence per answer. Use this when you have many items to triage, route, filter or bucket and do not want to	input · output
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	input · output
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 classificatio	input · output

Verify it yourselfnpx teppi-check https://classifier.dev/mcpcurl -s https://api.teppi.xyz/v1/trust/mcp/mcs_01M2Z19YBQQ95MW3VPSYKTTVDK