Combien d'outils expose io.github.jrainsberger/orthotomeo ?

io.github.jrainsberger/orthotomeo expose 12 outil(s). Le coût de contexte pour les charger tous est d'environ 5422 tokens (coût unique au chargement, pas par appel).

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io.github.jrainsberger/orthotomeo

serveur MCP (Model Context Protocol) · orthotomeo 0.1.0

▸ Dev & Code

[ Non encore testé ]

Verdict MCP Hub
Référencé dans l'annuaire. Seul le pentest comportemental fait foi, et il n'a pas encore été exécuté sur ce serveur.

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~5422 tokensCoût de contexte

12Outils

Est-ce que io.github.jrainsberger/orthotomeo est sûr ?

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Les 12 outils

attestation≈ 546 tokens
Returns the WHNT-style Type/Editions manuscript-tradition columns as neutral text-critical data (e.g. Mark 16:9-20 = Type KO) - which editions carry a word, with no argument for or against a variant.
Paramètres, retour & exemple (5)
Paramètres
- book · string · requis
  USFM book code (e.g. GEN, PSA, MAT, REV) or the full English book name, any case (e.g. Genesis, matthew)
- word · null|integer · optionnel
  1-based word_no within the verse; omit for every word in the verse
- verse · integer · requis
  verse number
- corpus · string · requis
  word-tagged corpus: TAGNT, TAHOT, Swete, OSS-LXX-lemma
- chapter · integer · requis
  chapter number
Exemple d'appel
```
{"name": "attestation", "arguments": {"book": "texte", "verse": 1, "corpus": "texte", "chapter": 1}}
```
Exemple de retour
```
{"content": [{"type": "text", "text": "…"}], "structuredContent": {"engine": "texte", "sources": {}, "citations": "texte"}}
```
cite≈ 354 tokens
Renders Citations (from any of the above tools) as quoted, fully-attributed Markdown bullets - the only sanctioned bridge from a query result to pastable study-document text.
Paramètres, retour & exemple (1)
Paramètres
- citations · array · requis
  Citations previously returned by another tool call, to render as a pastable reference block
Exemple d'appel
```
{"name": "cite", "arguments": {"citations": []}}
```
Exemple de retour
```
{"content": [{"type": "text", "text": "…"}], "structuredContent": {"text": "texte", "engine": "texte"}}
```
concord_lemma≈ 630 tokens
Complete-or-fail concordance: every words row in corpus whose lemma, dStrong, or (with by="surface") exact inflected surface form matches query. Route lemma/Strong's-number/surface-word lookups here, never by writing SQL or guessing occurrences from memory. This deployment caps one concordance result at 2000 occurrences and refuses anything broader, reporting the exact match count in the error. Call count first when a query might be broad - count is never capped.
Paramètres, retour & exemple (3)
Paramètres
- by · string · optionnel
  optional match column override: lemma, dstrong, or surface. Omit for auto-detect (dStrong shape, else lemma) - surface must always be requested explicitly, it is never guessed
- query · string · requis
  a lemma (e.g. ἄφεσις), a disambiguated Strong's number (e.g. G0859, H7225G), or (with by="surface") the exact inflected word as it appears in the verse
- corpus · string · requis
  word-tagged corpus to search: TAGNT (Greek NT), TAHOT (Hebrew OT), Swete (LXX surface), OSS-LXX-lemma (LXX lemma)
Exemple d'appel
```
{"name": "concord_lemma", "arguments": {"query": "texte", "corpus": "texte"}}
```
Exemple de retour
```
{"content": [{"type": "text", "text": "…"}], "structuredContent": {"engine": "texte", "sources": {}, "citations": "texte"}}
```
concord_phrase≈ 584 tokens
Complete-or-fail multi-word concordance: every occurrence, within one verse, of tokens (lemma strings) appearing in order within window intervening words of each other (window=0 = strictly adjacent). This is the tool for a phrase query like εἰς ἄφεσιν. This deployment caps one concordance result at 2000 occurrences and refuses anything broader, reporting the exact match count in the error. Call count first when a query might be broad - count is never capped.
Paramètres, retour & exemple (3)
Paramètres
- corpus · string · requis
  word-tagged corpus to search: TAGNT, TAHOT, Swete, OSS-LXX-lemma
- tokens · array · requis
  ordered lemma strings to find co-occurring within one verse, e.g. ["εἰς","ἄφεσις"]
- window · integer · requis
  max words allowed between consecutive tokens; 0 = strictly adjacent
Exemple d'appel
```
{"name": "concord_phrase", "arguments": {"corpus": "texte", "tokens": [], "window": 1}}
```
Exemple de retour
```
{"content": [{"type": "text", "text": "…"}], "structuredContent": {"engine": "texte", "sources": {}, "citations": "texte"}}
```
count≈ 264 tokens
Occurrence tally (total + per-book breakdown) for the identical query concord_lemma would match. count.Total always equals len(concord_lemma(...)) - use this to sanity-check a concordance result, or when only the number matters.
Paramètres, retour & exemple (3)
Paramètres
- by · string · optionnel
  optional match column override: lemma, dstrong, or surface, same as concord_lemma
- query · string · requis
  a lemma, dStrong, or (with by="surface") exact inflected word, same as concord_lemma
- corpus · string · requis
  word-tagged corpus: TAGNT, TAHOT, Swete, OSS-LXX-lemma
Exemple d'appel
```
{"name": "count", "arguments": {"query": "texte", "corpus": "texte"}}
```
Exemple de retour
```
{"content": [{"type": "text", "text": "…"}], "structuredContent": {"total": 1, "by_book": {}}}
```
get_passage≈ 586 tokens
Returns get_verse's result for every canonical verse in a contiguous, single-book range, in order - verse boundaries preserved, never concatenated into one blob.
Paramètres, retour & exemple (6)
Paramètres
- book · string · requis
  USFM book code (e.g. GEN, PSA, MAT, REV) or the full English book name, any case (e.g. Genesis, matthew)
- editions · array · requis
  verse-text editions to fetch verbatim text from: KJV, ASV, WEB, BSB, Brenton
- end_verse · integer · requis
  last verse of the range, inclusive
- end_chapter · integer · requis
  last chapter of the range, inclusive
- start_verse · integer · requis
  first verse of the range, inclusive
- start_chapter · integer · requis
  first chapter of the range, inclusive
Exemple d'appel
```
{"name": "get_passage", "arguments": {"book": "texte", "editions": [], "end_verse": 1, "end_chapter": 1, "start_verse": 1, "start_chapter": 1}}
```
Exemple de retour
```
{"content": [{"type": "text", "text": "…"}], "structuredContent": {"engine": "texte", "sources": {}, "citations": "texte"}}
```
get_verse≈ 511 tokens
Returns verbatim verse text with provenance for one canonical reference, one Citation per requested edition (KJV, ASV, WEB, BSB, Brenton).
Paramètres, retour & exemple (4)
Paramètres
- book · string · requis
  USFM book code (e.g. GEN, PSA, MAT, REV) or the full English book name, any case (e.g. Genesis, matthew)
- verse · integer · requis
  verse number
- chapter · integer · requis
  chapter number
- editions · array · requis
  verse-text editions to fetch verbatim text from: KJV, ASV, WEB, BSB, Brenton
Exemple d'appel
```
{"name": "get_verse", "arguments": {"book": "texte", "verse": 1, "chapter": 1, "editions": []}}
```
Exemple de retour
```
{"content": [{"type": "text", "text": "…"}], "structuredContent": {"engine": "texte", "sources": {}, "citations": "texte"}}
```
interlinear≈ 598 tokens
Returns a row-aligned reading view for every word in a verse (or one word, if word is given): original text, transliteration, gloss (via lexicon_lookup), grammar, and manuscript attestation stacked per word - the composed display shape for a study reading view, built on parse and lexicon_lookup rather than any new query. This is the most complete per-word view; use parse or attestation when you want only one of those facets.
Paramètres, retour & exemple (5)
Paramètres
- book · string · requis
  USFM book code (e.g. GEN, PSA, MAT, REV) or the full English book name, any case (e.g. Genesis, matthew)
- word · null|integer · optionnel
  1-based word_no within the verse; omit for every word in the verse
- verse · integer · requis
  verse number
- corpus · string · requis
  word-tagged corpus: TAGNT, TAHOT, Swete, OSS-LXX-lemma
- chapter · integer · requis
  chapter number
Exemple d'appel
```
{"name": "interlinear", "arguments": {"book": "texte", "verse": 1, "corpus": "texte", "chapter": 1}}
```
Exemple de retour
```
{"content": [{"type": "text", "text": "…"}], "structuredContent": {"words": "texte", "engine": "texte", "sources": {}}}
```
lemmatize≈ 485 tokens
Returns the ordered lemma list for a verse (words with no lemma are omitted, not fabricated).
Paramètres, retour & exemple (4)
Paramètres
- book · string · requis
  USFM book code (e.g. GEN, PSA, MAT, REV) or the full English book name, any case (e.g. Genesis, matthew)
- verse · integer · requis
  verse number
- corpus · string · requis
  word-tagged corpus: TAGNT, TAHOT, Swete, OSS-LXX-lemma
- chapter · integer · requis
  chapter number
Exemple d'appel
```
{"name": "lemmatize", "arguments": {"book": "texte", "verse": 1, "corpus": "texte", "chapter": 1}}
```
Exemple de retour
```
{"content": [{"type": "text", "text": "…"}], "structuredContent": {"engine": "texte", "sources": {}, "citations": "texte"}}
```
lexicon_lookup≈ 298 tokens
Resolves a disambiguated Strong's number (dStrong) to its lexicon entry: lemma, transliteration, gloss, and - for a Greek entry only - a fuller definition (Abbott-Smith 1922, Public Domain). A Hebrew entry's definition field is always omitted: it is abridged BDB via Online Bible, which requires permission not yet obtained, so only its gloss is ever returned. Not to be confused with the get_verse/get_passage tools, which resolve a Ref to translated verse text, not a dStrong to a dictionary entry.
Paramètres, retour & exemple (1)
Paramètres
- dstrong · string · requis
  a disambiguated Strong's number, e.g. G0859, H7225G
Exemple d'appel
```
{"name": "lexicon_lookup", "arguments": {"dstrong": "texte"}}
```
Exemple de retour
```
{"content": [{"type": "text", "text": "…"}], "structuredContent": {"gloss": "texte", "lemma": "texte", "dstrong": "texte", "language": "texte", "translit": "texte", "definition": "texte"}}
```
parse≈ 546 tokens
Returns dStrong + expanded morphology (via the T6 morph_codes table) for every word in a verse, or one word if word is given. LXX corpora (Swete, OSS-LXX-lemma) are always Flagged - neither carries morphology.
Paramètres, retour & exemple (5)
Paramètres
- book · string · requis
  USFM book code (e.g. GEN, PSA, MAT, REV) or the full English book name, any case (e.g. Genesis, matthew)
- word · null|integer · optionnel
  1-based word_no within the verse; omit for every word in the verse
- verse · integer · requis
  verse number
- corpus · string · requis
  word-tagged corpus: TAGNT, TAHOT, Swete, OSS-LXX-lemma
- chapter · integer · requis
  chapter number
Exemple d'appel
```
{"name": "parse", "arguments": {"book": "texte", "verse": 1, "corpus": "texte", "chapter": 1}}
```
Exemple de retour
```
{"content": [{"type": "text", "text": "…"}], "structuredContent": {"engine": "texte", "sources": {}, "citations": "texte"}}
```
resolve_ref≈ 389 tokens
Reports, for every per-verse content edition (KJV, ASV, WEB, BSB, Brenton, TAGNT, TAHOT, Swete, OSS-LXX-lemma), whether a canonical reference has a counterpart there and where. Cross-edition divergence (a T4b merge/renumber/divide, or a reference simply missing from an edition) is reported as Caveats - never a silent shift.
Paramètres, retour & exemple (3)
Paramètres
- book · string · requis
  USFM book code (e.g. GEN, PSA, MAT, REV) or the full English book name, any case (e.g. Genesis, matthew)
- verse · integer · requis
  verse number
- chapter · integer · requis
  chapter number
Exemple d'appel
```
{"name": "resolve_ref", "arguments": {"book": "texte", "verse": 1, "chapter": 1}}
```
Exemple de retour
```
{"content": [{"type": "text", "text": "…"}], "structuredContent": {"ref": {}, "caveats": "texte", "addresses": "texte"}}
```

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Source

https://orthotomeo.app/mcp