hallucination_detector_deberta_detect

1 MCP server offers this tool

What it usually takes

  • answer – in 1 of 1
  • knowledge – in 1 of 1
  • mc_passes – in 1 of 1
  • question – in 1 of 1
  • task – in 1 of 1
  • threshold – in 1 of 1

No server marks it as only reading: treat it as able to change data.

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Servers

ServerInputsRead-only?
Hallucination Detector (DeBERTa) co.huggingface.hugging-apps/hallucination-detector-deberta Classify an LLM answer as Factual or Hallucinated given a knowledge context. Runs the fine-tuned DeBERTa-v3 detector once for the headline score, then runs Monte-Carlo Dropout passes for an uncertainty estimate (std dev across stochastic forward passes), exactly as in the paper. Returns: (verdict label dict, details markdown).answer,knowledge,mc_passes,question,task,thresholdNot stated