Tanod ML

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FastDrop pulled this entry from the official MCP Registry as dev.tanod/ml and probed the endpoint. The maker did not submit it, so the outbound link is not endorsed and the description is not theirs.

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Tools this endpoint exposes

Read directly from the endpoint on 8 Oct 2026. Not supplied by the maker.

• embed_texts

  mlpeek: 384-dimension embedding vectors of 1-64 texts with BAAI/bge-small-en-v1.5 (`small-en`, English, MIT) or intfloat/multilingual-e5-small (`multilingual`, about 100 languages, MIT), L2-normalised

• rerank_documents

  mlpeek: 1-100 documents scored against a query by the ms-marco-MiniLM-L6-v2 cross-encoder (Apache-2.0) and sorted best first: index, rank, score (sigmoid of the logit, a relevance in 0-1) and logit; `

• text_similarity

  mlpeek: the cosine similarity of the embeddings of each text pair (bge-small-en or multilingual-e5-small, symmetric mode): one pair as `a` + `b` (also returned as a top-level `similarity`) or 1-50 `pa

• extract_entities

  mlpeek: named entities in English text with spaCy en_core_web_sm 3.8.0 (MIT): text, label (the 18 OntoNotes types: PERSON, ORG, GPE, LOC, DATE, MONEY, ...) and code-point offsets (end exclusive), plus

• classify_zero_shot

  mlpeek: scores of 1-10 caller-supplied labels for an English text with the nli-deberta-v3-xsmall NLI cross-encoder (Apache-2.0): single-label scores sum to 1 (softmax over the labels), `multi_label` s

• text_sentiment

  utilpeek: VADER sentiment of an English text: compound (-1 to 1), positive / neutral / negative shares and a label (positive at 0.05 or more, negative at -0.05 or less), optionally per sentence. A lex

• text_keywords

  utilpeek: the top keyphrases of a text by RAKE (phrases between stop words and punctuation, scored by word degree / frequency), with score and count. Input: `text` (at most 200,000 characters), option

• text_summarize

  utilpeek: an extractive summary: the most central `sentences` (or `ratio` of them) by LexRank, picked verbatim and kept in their original order, with per-sentence scores. It does not paraphrase, short

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