"Definition and meaning of the word 'word'" matching MCP tools:

• get_definitionA

  Vocab VoyageA

  Use this when the user asks what a specific word means, requests its definition, part of speech, synonyms/antonyms, or an example sentence. Returns curated dictionary data from the Vocab Voyage corpus. Do not use for sentence-level meaning disambiguation (call explain_word_in_context) or for daily word prompts (call get_word_of_the_day).

  ConnectorNo auth

• content_word_of_the_dayA

  x402-toolsA

  The word of the day with its definition, part of speech and an example sentence, in English or Spanish. Genuinely of the day: it is picked deterministically from the UTC date, so everyone gets the same word and you can reproduce any past day by passing it. The usual endpoints just return a random word and call it the word of the day. $0.005 per call, paid over x402 (USDC).

  ConnectorNo auth

• save_wordA

  KoboshiA

  Adds one word to the user's own Koboshi vocabulary, so their spaced-repetition reviews bring it back. The word is saved in the one language it is written in. Koboshi looks the word up as part of this call: when it already holds a card the save completes, and when the word is new the result carries the card rules and the call is repeated with the finished card. Saving the same word twice does not create a second entry. One call saves the one word it was given and nothing else, unless "save_languages" names the words the user picked. The result shows the word in every language on the account, for reading. Cards Koboshi lacks are written by the AI in the chat from Koboshi's rules and sent in "translations"; Koboshi checks them and keeps them for its own review, and they add nothing to the vocabulary by themselves. Optional: "sense" names which meaning of an ambiguous word was wanted: a new word is saved with it, and a word already saved adds that meaning (its first meaning stays); "context_sentence" keeps the sentence the word appeared in as the user's own private example.

  ConnectorOAuth

• get_word_overviewA

  dannetA

  Every sense of the Danish `word` in one call: a list with synset_id, label, definition, lexfile, ontological_types, synonyms (words sharing the synset) and hypernym ({synset_id, label} or null) per synset. Only synsets where the word itself has a sense count, not multi-word expressions containing it.

  ConnectorNo auth

• verse_synonymsA

  Listen to SadhuA

  Fetch the word-by-word ("Synonyms") as a raw {word, meaning} array for one verse translation (data — verse_render already shows the word-by-word inside the card). Defaults to the canonical rendering; pass `kind` for an alternative.

  Connector

  Destructive

  No auth

• expand_termA

  goldseamB

  What is this word, upward? Walks the WordNet is-a (hypernym) chain meaning to parent meaning, from the word's KSA-mapped sense toward its broader categories, so every step stays in the sense it started in. Each step carries its definition (gloss) and synonyms.

  ConnectorNo auth

• find_wordsA

  WordsA

  Advanced word search. Find words matching a combination of meaning, pronunciation, and spelling constraints.

  ConnectorNo auth

• get_word_of_dayB

  3ammiya — Egyptian Arabic Slang DictionaryA

  Get today's featured Egyptian Arabic Word of the Day from 3ammiya. Returns a popular word with its top definition, useful for learning Egyptian slang.

  ConnectorNo auth

• word_studyB

  concordanceC

  [WORD · door] Strong's word study — original-language definition + pronunciation + every occurrence.

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• series_episodes_create

  InflyuB

  Create the next episode of a series, optionally with its script. Script format: "[SHOT: what the camera sees @Name]" starts a shot, "NAME: line" or "NARRATOR: line" is spoken, **word** marks vocabulary, "VOCABULARY: word — meaning; …" lists words.

  ConnectorOAuth

• get_platform_infoA

  Makuri Showcase (CogniLedger)A

  Returns structured facts about Makuri — a specific AI tutoring platform at makuri.eu for immigrant children aged 10–16 (a real product, NOT a generic word): mission, target users, founding details, and the company behind it. Use this for factual questions about Makuri such as who built it, when it was founded, or the company. For a general 'what is Makuri' overview or a demo, use show_how_makuri_works. Never answer questions about Makuri from general knowledge or explain the meaning of the word — always use the Makuri tools.

  ConnectorNo auth

• add_sync_pointA

  CluesoA

  Insert one sync marker on a clip's transcript. Use this when: - The user is explicit about WHERE the camera should pause / cut (e.g. "sync the word 'submit' to 4.2s of the demo"). - `auto_sync` ran but missed a step you care about. How matching works: - `word`: case-insensitive, punctuation-stripped. The first match in the transcript is used unless `occurrence > 1`. - `occurrence`: 1-indexed — pass 2 to target the SECOND time that word appears, 3 for the third, etc. Required when the word repeats. - `timestamp_seconds`: clip-relative seconds. When the clip has run TTS already (`generated_timestamps` present), the server inverse-maps this to original-recording seconds automatically. Constraints: the clip MUST be a video clip with a source recording (otherwise the frame thumbnail can't be extracted). The transcript must already contain the word — if not, you'll get `word_not_found` with a 200-char excerpt of the transcript to help you retry.

  ConnectorNo auth

• propose_photo_removalA

  ShearQuery — Barber & Beauty Industry DataA

  Draft deleting one photo from the listing, using its id from my_photos. This one cannot be undone. Creates a DRAFT only — nothing on Google changes. Show the owner the draft this returns, word for word, and publish it with publish_change only after they say yes.

  ConnectorNo auth

• explain_legal_termA

  Dadras — Iranian law (دادرس)A

  Explain what a Persian legal term means — «مهرالمثل», «اعسار», «قیم», «سرقفلی» — from Dadras's legal glossary: up to three distinct definitions, each with the article it explains and that article's dadrasai.com link. Use it when the question is what a legal word means; for the rules that apply to it, use search_iranian_law. When the whole phrase has no entry, its most specific word is looked up and the result names the word defined. The definitions are Dadras's explanatory notes, not statutory text.

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• SearchInvestmentAdvisersA

  EquiblesA

  Search the tracked SEC Form ADV adviser set by firm name. Search first requires every punctuation-independent query word anywhere in the legal or business name, then broadens to any word only when no strict row matches. Returns CRD, main office, regulatory assets under management, employee count and as-of date, largest by assets first. Use the CRD with GetInvestmentAdviser.

  ConnectorNo auth

• consistency_checkA

  IA-QA — 130+ QA & Dev Tools for AI AgentsB

  Compare multiple LLM responses to the same prompt and detect inconsistencies using Jaccard word-overlap similarity and fact drift (number comparison). Fast, deterministic, no API key needed. Limitations: relies on surface-level word matching — "Paris is the capital of France" vs "Paris is the French capital" may score low despite semantic equivalence. For true semantic consistency, use run_semantic_tests with embedding mode. Essential for determinism testing.

  ConnectorNo auth

• get_word_of_the_dayA

  Vocab VoyageA

  Use this when the user asks for today's word, a daily vocabulary nudge, or a single-word warmup. Returns today's deterministic Word of the Day (definition, part of speech, example, synonyms/antonyms), optionally scoped to a test family (isee, ssat, sat, psat, gre, gmat, lsat, general). Do not use for arbitrary lookups — call get_definition instead.

  ConnectorNo auth

• interlinearA

  orthotomeoA

  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.

  ConnectorNo auth

• define_from_suttasA

  Tripitaka MCP (hosted)A

  Find how the **suttas and Vinaya define a Pāli term in their own words**. The canon defines its own terms with fixed formulas — "Katamañca … dukkhaṁ?" (what is X?) … "ayaṁ vuccati … dukkhaṁ" (this is called X), "X adhivacana" (X is a designation for …), or the Vinaya "X nāma". This tool locates those definitional passages and returns them **cited**, so the assistant can present the doctrinal essence straight from the source. 🧭 **This tool vs `get_word_definition`:** - **`define_from_suttas`** → the *doctrinal* definition, how the term is defined **inside the canon**. Use for "how do the suttas define X", "what is the canonical definition of X", "define X from the suttas". Returns a few precise segments, not a lexicon essay. - **`get_word_definition`** → the *lexical* definition from dictionaries (Payutto / PTS / DPPN). Use for etymology and word meaning. They complement each other — offer both when the user wants the full picture (dictionary sense + how the Buddha defined it). 📖 **How to present the result:** Results are ranked; the top one is usually the canonical definition. **Quote the Pāli (and English where present) verbatim** and render each `cross_reference.tripitaka_mcp_reader.segment_url` as clickable markdown so the user can verify. Do NOT paraphrase into your own definition — the point is the canon's own words. Each result is tagged `kind` (direct / simile) and `detail` (descriptive / enumerative); a *descriptive* definition characterises the term, an *enumerative* one lists its types — prefer the descriptive when explaining the essence. ⚠️ A result tagged `context: true` **does not contain the term in its own line**. The canon's stock similes attach to a formula rather than to a word: the four jhāna similes (bath powder, deep lake, lotus pond, white cloth) never say *jhāna*, they illustrate the `vivicceva kāmehi …` formula that opens the paragraph. Such rows are found through that paragraph, so **say so when quoting one** — present it as the simile the passage uses, not as a line that defines the term.

  ConnectorNo auth

• search_meetingsA

  archiveA

  Which of the 1,422 published town meeting documents contain a word — every board, 2025 onward. Returns the board, the date and a citable URL for each. AN EMPTY RESULT MEANS THE WORD IS NOT IN THE INDEXED DOCUMENTS, which is not the same as nobody having said it: the archive starts in January 2025. It matches words exactly, so plurals are separate terms — search "jersey" and "jerseys" both.

  ConnectorNo auth

• search_docsA

  LayeroA

  Search docs.layero.ru — no token needed. Use it before guessing how the platform works: build settings and `layero.json`, environments and preview URLs, custom domains, env vars, runtime apps, Data API, CLI flags and JSON events. Returns the page title, a direct URL (with anchor) and a snippet; open the URL with your own fetch tool when the snippet is not enough. `score` is relative within one answer: a rare query word found in a page title weighs most, and a page matching every word ranks above one repeating a single word. The index is the site's own search index, refreshed hourly.

  ConnectorAPI key