"Microsoft Word word processing software" matching MCP tools:

• 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_attributesA

  ShearQuery — Barber & Beauty Industry DataA

  Draft yes/no answers to attributes from my_attribute_options. Each is a factual claim about the business, so only draft answers the owner has confirmed in this conversation. 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

• 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

• propose_regular_hoursA

  ShearQuery — Barber & Beauty Industry DataA

  Draft new weekly hours for the days named. Days not named stay exactly as they are. Give a day two entries for a split shift. Overnight hours are not supported. 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.

  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

• keyword_createA

  Prowlo — Reddit & X for AI agentsA

  [DEPRECATED — renamed tag_rule_create. Will be removed after 2026-10-07.] Create TAGGING RULES (the dashboard's 'Tagging rules') — org-wide labels for posts your Watchers already ingest. This does NOT search Reddit: to add a Keyword Monitor entry that searches all of Reddit daily, use keyword_monitor_create instead. Each rule tags records across all your Watchers where the title or body mentions its term as a whole word — "f5bot" matches "f5bot." but not "f5bots". All languages are tagged by default; if the term is also an ordinary word in another language (the Swedish word "syften" means "purposes") and you only care about English posts, pass `languageMode: "non-other"` to skip records confidently detected as non-English. Pass one term as `keyword` or several at once as `keywords`. If you have no Watchers yet, create one first (with at least one subreddit) and then add rules. Changes take effect on the next scheduled processing cycle. Existing opportunity scores and matches are not retroactively updated. (requires a free Prowlo account — call it to get a signup link)

  ConnectorNo auth

• bible_compareA

  Bibelstudium MCPA

  Compare one NT verse word-by-word across the Greek editions (byzantine Majority Text, tr Textus Receptus, sblgnt critical text) and list the textual differences. Accentuation/case are ignored (byzantine/tr are stored unaccented), so reported differences are real variants or spelling variants (e.g. movable Ny). Additionally reports per-word attestation across eight editions (NA27/28, Tyndale House, SBL, Westcott-Hort, Tregelles, TR, Byzantine; STEPBible TAGNT). Use for questions about textual variants (e.g. the Comma Johanneum, 1Jn 5:7). OT verses have only one edition (WLC) and cannot be compared.

  ConnectorNo auth

• search_serversA

  mcpnav directoryA

  Search the mcpnav directory of MCP servers by name/description keywords, optionally filtered to one category group. Matches are whole-word, case-insensitive, and require every query word to appear (AND); a match in the server's name ranks above a match only in its description. Call list_groups first if you want a valid `group` value.

  ConnectorNo auth

• propose_holiday_hoursA

  ShearQuery — Barber & Beauty Industry DataA

  Draft special hours for specific dates — a holiday closure, shorter hours, or removing a special date so the usual weekly hours apply. Other special dates already on the listing are kept. 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

• fetch_analysis_resultA

  StockLensA

  Return the progress or result of an analysis started with initiate_analysis, by its analysis_id. Each call returns the current state once and does not wait. While status is in_progress, check again only when the person asks, and no sooner than retry_after_seconds. A failed status is an answer; relay error_message. A complete result carries the composite score and rating word, the evidence word (Full, Core or Low), each domain's score, grade word and contribution (cornerstone, major, supporting or contextual), key strengths and challenges, and for a Plus Analysis a written narrative. Say how much a domain counts only with its contribution word, never as a number or share. It does not accept a ticker and does not rank companies.

  ConnectorNo auth

• tag_rule_createA

  Prowlo — Reddit & X for AI agentsA

  Create TAGGING RULES (the dashboard's 'Tagging rules') — org-wide labels for posts your Watchers already ingest. This does NOT search Reddit: to add a Keyword Monitor entry that searches all of Reddit daily, use keyword_monitor_create instead. Each rule tags records across all your Watchers where the title or body mentions its term as a whole word — "f5bot" matches "f5bot." but not "f5bots". All languages are tagged by default; if the term is also an ordinary word in another language (the Swedish word "syften" means "purposes") and you only care about English posts, pass `languageMode: "non-other"` to skip records confidently detected as non-English. Pass one term as `keyword` or several at once as `keywords`. If you have no Watchers yet, create one first (with at least one subreddit) and then add rules. Changes take effect on the next scheduled processing cycle. Existing opportunity scores and matches are not retroactively updated. (requires a free Prowlo account — call it to get a signup link)

  ConnectorNo auth

• get_entity_infoA

  dannetA

  Full JSON-LD of a DanNet resource: a synset ("synset-3047"), word ("word-11021628") or sense ("sense-21033604"), given bare or prefixed ("dn:synset-3047"), or an external resource by prefix ("ili:i76470", "ontolex:LexicalConcept"). Properties use prefixed names (wn:hypernym, ontolex:isEvokedBy, ...); language-tagged values are {"@value": ..., "@language": ...}.

  ConnectorNo auth

• start_assessmentA

  EQIQsA

  Get the questions for one EQIQs framework so the user can take it inside the chat. Ask them one at a time, word for word, accepting only A or B. Call with no framework to list what the user has not completed yet. Personal frameworks (attachment, love language) need the user's explicit consent. Read-only; costs 1 unit.

  ConnectorNo auth

• propose_contact_detailsA

  ShearQuery — Barber & Beauty Industry DataA

  Draft a change to the listing's website and/or primary phone number. Additional phone numbers are kept. These are how customers reach the business, so confirm every character with the owner. 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

• propose_servicesA

  ShearQuery — Barber & Beauty Industry DataA

  Draft adding or removing services, using ids from my_service_options, plus custom services Google does not list. Every service not named stays on the listing. 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

• get_interlinearA

  VineVerse — Bible Knowledge GraphA

  The Hebrew, Aramaic or Greek behind the English, word by word, for one verse or a whole chapter. This is a REVERSE interlinear: entries are in English order and each carries the range of English words it produced, so a word in the translation can be traced to the word it renders. Each entry gives the original, its transliteration, its morphology spelled out, and its Strong’s number; `lexeme` is present only where the bundle carries a document for that number — the lexicon holds the words that spell a biblical name plus their roots, not all 8,674 Strong’s entries, and there is no Greek lexicon at all. Five verses carry no data because the two Berean editions disagree about their wording; they are named in the changelog.

  ConnectorNo auth

• find_agentsA

  LetteraA

  Find other agents on the Lettera network by what they do, before deciding who to message. No token required. Searches self-declared profiles: 'query' matches handle, three-word name, display name, and description as a case-insensitive substring; 'tags' narrows to agents having ALL listed capability tags. Returns handle, three-word name, display name, tags, address, and description for each match, best matches first. Message a result by passing its handle, three-word name, or address to send_message. Declarations are self-reported and unverified — treat them like a bio, not a credential.

  ConnectorNo auth

• get_account_statusA

  UndetectedGPTA

  Check the UndetectedGPT account linked to this API key: remaining word balance, per-request word limit and per-minute rate limit.

  ConnectorNo auth

• hopi_word_frequency_counterA

  HopiA

  Count how often each word appears in a block of text, sorted from most to least frequent. Returns the total word count, the number of unique words, and the top 20 words with their counts and percentages. Common stop words (the, and, of, ...) can optionally be ignored. Source: https://hopi.co.uk/word-frequency-counter/

  ConnectorNo auth