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100
MCP live MCP 2025-11-25 streamable-http

classifier.dev

dev.classifier/classifier

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

Watch this dependency Share evidence report
Uptime
100.0%
5 direct probes · 30d
Response
618ms
last probe
Tools
5
callable
Resources
0
readable
Prompts
0
available
Primary URL
https://classifier.dev/mcp
Score: 100/100
Handshake verified by our own probe.
pass Answers the MCP handshake 50/50
The handshake and the list calls succeeded on the primary URL.
pass Lists tools, resources or prompts 30/30
5 tools, 0 resources, 0 prompts returned.
pass 3 or more catalogue items 10/10
5 items in total; 3 or more earns these points.
pass Describes itself 10/10
96 characters; more than 30 earns these points.

Tools · 5

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 read them all: sear…

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; …

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…

How to use

Claude Desktop or claude.ai: add a custom connector (Customize → Connectors; on Team and Enterprise plans an owner adds it under Organization settings → Connectors) with this server URL: https://classifier.dev/mcp

Cursor or Cline: add to your MCP config:

{
  "mcpServers": {
    "classifier.dev": {
      "url": "https://classifier.dev/mcp",
      "transport": "streamable-http"
    }
  }
}