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650,545 tools. Updated 2026-10-14 07:11

"Definition and Meaning of the Word" matching MCP tools:

  • 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.
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  • Update or create a flow. Use `dryRun: true` to preview any change without writing. Omit flowName to create: definition and displayName are required. Give flowName to update: displayName and/or definition and/or connectionReferences. SURGICAL EDIT: pass `operations` — an ordered list of set/add/remove/merge ops on array-of-keys paths — to change one action or parameter without resending the whole definition. Provide EITHER operations OR definition; connectionReferences may accompany either and lands in the same save. WHOLE definition: call get_live_flow, mutate properties.definition, pass it here. RENAME: pass displayName alone. Power Automate rejects a PATCH carrying no flow content, so this re-saves the unchanged definition — the maker portal does the same. definition.description is required, and must be brief — we append " #flowstudio-mcp" to it.
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  • Read back the full stored definition of an api template version by slug or id. Returns the exact definition body that was authored (as a JSON string, so you can parse it to diff or patch and resubmit as a new version) plus its checksum. Omit version to get the latest version.
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  • Read back the full stored definition of a dynamic endpoint version by slug or id. Returns the exact definition body that was authored (as a JSON string, so you can parse it to diff or patch and resubmit as a new version) plus its checksum. Omit version to get the latest version.
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  • Find nodes or documents by the words they contain. Nothing here matches by meaning, so use `recall` for a natural-language question. method "keyword" (default): ranked full-text search over active nodes; terms are AND-combined, and a multi-word query that matches nothing is retried once as an OR of its words. It returns cards, not bodies (default limit 5). method "exact": the matching line per node for a literal substring, or a POSIX regex with regex:true, across every status including done and archived (default limit 50). scope "documents": a line search of document bodies, a literal substring or, with regex:true, a JavaScript regex; it ignores method and type, and limit caps the number of documents unless max_docs is set. Every hit carries id, title, and url; limit is at most 50, with no paging. Read a full body with `fetch`.
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  • 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.
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Matching MCP Servers

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    Provides comprehensive word definitions, pronunciations, meanings, and examples for any English word using the Free Dictionary API. Includes a random word-of-the-day feature with difficulty levels for vocabulary building.
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    MIT
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    Enables an AI assistant to build and revise an explicit shared world model, then reason, create, narrate, remember, and give writing feedback through inspectable processes, concepts, and cuts. Supports general-purpose modeling, storytelling, agent/user memory, and ideation over one engine and graph while keeping estimates, interpretations, and observations distinct.
    MIT

Matching MCP Connectors

  • Turn a phrase and its translation into a shareable word-alignment diagram.

  • x402 game: take the crown, each take raises the next price 1.5x. hill_status is free.

  • 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.
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  • 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.
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  • Search every record by exact words and by meaning at once: meeting agendas and minutes, place dossiers, corridors, named patterns and briefs, entities and watch items. Finds a case, ordinance or resolution number, a parcel id or alternate key, an address, a project, firm or person, or a plain-language question. Ranking fuses three lists by reciprocal rank: full-text match (every word as written; "quotes", OR and -word work as in web search), title match, and voyage-4 embedding similarity. Each hit carries its true cosine `similarity` and `matched` (title, text, meaning). Every response states `scope` (the query names a covered place, a place outside coverage, or no place) and `evidence` (strong when a top record contains the query's terms or closely resembles it); when either needs explaining it adds a `note` and the coverage. `weak_match` is deprecated and will be removed in 2.4.0: it is true when scope is outside or evidence is not strong, so read those instead. Coverage: 25 jurisdictions in Lake, Orange, Osceola, Polk and Seminole counties, Florida, from 2024, listed in the coverage resource. Top 12.
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  • Score an LLM response against the criteria you pass: coverage of expected_keywords and compliance with max_length. Returns a 0-100 score over the criteria actually measured — or total_score null with the reason when none is given, because relevance and correctness cannot be read off word overlap (a correct one-word answer shares no words with its question). For meaning against a reference answer, use run_semantic_tests. Also returns unscored signals: question-term overlap, average sentence length, markdown.
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  • Concordance / word study: find ALL occurrences of an original-language word across the Bible. Search by Strong's number (preferred; "G26" = Greek/NT, "H7225" = Hebrew/OT) or by exact lemma as returned by bible_original (e.g. "ἀγάπη", "רֵאשִׁית"). Returns total count, per-book distribution, an occurrence list with the inflected surface forms, and English lexicon data (gloss, Strong's definition; for Greek also the full Abbott-Smith entry). NT edition selectable via texttyp (default byzantine).
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  • Modify an existing segment's name and/or filter definition. Call this after nevent_get_segment to inspect the current definition before changing it. At least one of name or definition must be provided. After update, call nevent_segment_preview to confirm the new audience count before scheduling a campaign.
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  • Use this to read and compare the held legislative definitions of a term, such as payment transaction in PSD2 and PSR. These are source definitions, not a general dictionary or a legal opinion. Every definition verbatim and resolved, clustered by what the text actually says, with the chronological and concurrent views and word-level comparisons between them. Resolution follows the CITED version, never legislative succession: a definition citing a repealed act resolves to that act and is labelled repealed, not silently replaced by its successor's wording. A term the corpus does not define is refused with suggestions — nothing is substituted. references_in gives the reverse edges: which definitions lean on this one.
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  • The act's glossary: every term it defines, alphabetical, with the publisher's own wording verbatim and the provision that defines each one. Use it to orient in an unfamiliar instrument, or to check what a term means IN THIS ACT rather than in the corpus at large — several instruments define 'consumer' differently and all are right within their own scope. AN EMPTY GLOSSARY IS ABOUT OUR READER, NOT THE ACT. Extraction reads the drafting constructions it has been taught and coverage is uneven across legal traditions; `provisions` is returned so a zero can be read against the size of the instrument. Do not report it as 'this act defines no terms'. A NULL definition means one of two things: `borrowed` true means the act takes the meaning from another instrument and states none of its own; otherwise the wording could not be delimited. `count` is three populations (`defines`, `adoptsCount`, `undelimited`) — never quote it as one. The definitions are free. Only the `adopts` resolution (which act a borrowed definition comes from) is Lexiara Nexus data requiring an API key on a signed-in account.
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  • Search ILOSTAT's catalog of labour-statistics indicators by plain-language terms and filters. Each hit is one indicator with its datasets — one per available frequency (annual, quarterly, monthly) — plus breakdowns, coverage years, number of reference areas, source database, and last update; pass a dataset ID to ilostat_describe_indicator for its units and breakdown codes, then to ilostat_query_indicator or ilostat_compare_geographies for values. Every search term must match a word or word prefix in the indicator's label, subject, database, breakdown names, code, or definition; British and American spellings (labour/labor) match alike. Facet counts reflect all applied filters.
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  • Look up the WEO methodology definition for any platform-specific term, field, or concept (e.g. "CC-V", "T2", "PAA", "ENT-1", "PIET"). Returns the term's definition, its section anchor, a deep link to that section of the published methodology, and the methodology version. Use to resolve any vocabulary the other tools return. Pass `term`; matching is exact-first, then substring, and an unknown term returns a sample of available terms.
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  • Returns the canonical Arco definition, related terms, and source URL for any Lexicon term. Supports fuzzy matching — "autonomous company" resolves to "Autonomous Business". Use this tool when you need a precise definition. Use suggest_terms instead when you have a block of text and want to discover which terms apply.
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  • Look up the meaning of an Elder Futhark rune. Returns its name, historical and esoteric meaning, phoneme, divination reading and keywords. Accepts a rune name (Fehu / Феху), stem (01-fehu) or latin (*fehu). Set reversed=true for the inverted/shadow divination meaning. lang: en|ru|de|es.
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  • Return the stored definition for an existing dashboard, so it can be edited and handed straight back to update_dashboard. Call this before update_dashboard rather than rebuilding a definition from memory — a rebuilt definition silently drops panels and drifts the SQL.
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  • Retrieve the complete filter definition of a specific segment (criteria stanzas, operators, values) along with its estimated contact count and metadata. Call this after nevent_list_segments when you need to inspect, clone, or explain a segment's logic. Next step: nevent_segment_preview to count the audience, or nevent_update_segment to modify the definition.
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  • The definition of a term of art, and the provision that gives it. Ask this BEFORE search_legislation whenever the question is what a phrase means ('durable medium', 'taxable person'): search returns provisions that USE a phrase, this returns the law that DEFINES it, verbatim. A term defined by several instruments returns several rows — the scope of each definition is the instrument carrying it, so check the work before applying one. The definition text is always free. Only the adoption resolution (`adopts`, which act a borrowed definition comes from) is Lexiara Nexus data requiring an API key on a signed-in account.
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