sauerkrautlm_lfm2_5_gliner_ner – 1 MCP server offers this tool

What it usually takes

  • labels – in 1 of 1
  • nested_ner – in 1 of 1
  • text – in 1 of 1
  • threshold – in 1 of 1

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

From each publisher's own tool list. We never call a tool.

Servers

ServerInputsRead-only?
SauerkrautLM-LFM2.5-GLiNER co.huggingface.vagosolutions/sauerkrautlm-lfm2-5-gliner Extract named entities from text using zero-shot GLiNER. Provide any entity types as comma-separated labels — the model extracts matching spans without retraining.labels,nested_ner,text,thresholdNot stated