"Generate Word documents" matching MCP tools:

• searchA

  Islam West Africa Collection (IWAC)A

  Search the Islam West Africa Collection across newspaper articles, Islamic publications, archival documents, academic references, audiovisual recordings, photographs, and the authority index (persons/places/organisations/events/subjects). Pass ONE concept or name — e.g. 'Tijaniyya', 'laïcité', 'Sheikh Gumi', 'pèlerinage'. Matching is accent- and case-insensitive; a multi-word query requires every word to appear somewhere in the item, so prefer a single concept per call. Write query strings and concept keywords in French for press/publication/document/index discovery even when the user's report language is not French. Academic references are multilingual, so try French and English title/abstract terms when relevant; metadata/filter labels remain French. Use the French transliteration of Islamic terms (Tabaski not 'Eid al-Adha', charia not 'sharia', Maouloud not 'Mawlid'). Returns {results:[{id,title,url,category}], ranking}; each result's `category` names its subset and the `ranking` field documents the ordering. Pass an id to `fetch` to read the full text. For filtered queries (by country, date, or newspaper) use the search_* tools instead.

  ConnectorNo auth

• word_createA

  Local MCPA

  Creates a new Word (.docx) document at `path` with the given text content (and an optional title rendered as the heading). Requires confirm=true — called without it, returns a preview of what will be written instead of creating the file. The path must be somewhere Local MCP can write; Desktop/Documents/Downloads may need a one-time Files-and-Folders grant (System Settings → Privacy & Security → Files and Folders). Returns {created, path}. For a OneDrive or Google Drive path use onedrive_write_file / gdrive_write_file; to append to an existing doc use word_append, to read one word_read.

  ConnectorOAuth

• create_extractorA

  Extend MCPA

  Create a saved, reusable extractor (extract group). Three starting points, mutually exclusive: config (inline schema — call get_documentation with https://docs.extend.ai/extraction/schema.md BEFORE writing one by hand), cloneExtractorId (copy another extractor's draft config), or generate (Extend writes the schema from 1-5 sample documents plus optional instructions; no docs needed); name alone creates an empty draft. The draft is the only mutable surface — edit it with update_extractor, freeze it with publish_extractor_version, run it with extract_data.

  ConnectorOAuth

• get-space-documentA

  docuwriterA

  Use this when the user wants to read the full markdown content of a specific Space document/page after search or listing. Read-only: returns the selected document without changing content. Requires the document ID from list-space-documents, search-space-documents, or global-search.

  ConnectorOAuth

• word_appendA

  Local MCPA

  Appends text to the end of an existing Word (.docx) document at `path`, preserving the document's existing content and formatting. Requires confirm=true — called without it, returns a preview instead of modifying the file. Same file-access rules as word_create (Desktop/Documents/Downloads may need a Files-and-Folders grant). Returns {appended, chars_appended, path}. To create a new document use word_create; to read one use word_read.

  ConnectorOAuth

• product_retrieveA

  Algenta MCP ServerA

  Rank caller-supplied documents against a search query and return the top matches with snippets. Scoring is deterministic lexical word-overlap between query and document plus a bonus when the query prefix appears in the document; results sort by relevance_score with rank starting at 1. Provide documents or a collection_id - a call with neither fails with missing_source. Use query_data for analytics over connected datasets instead. Read-only; nothing is stored. Returns results (rank, document_id, content excerpt, relevance_score, snippet) and total_searched.

  ConnectorNo auth

• search_documentsA

  OpenPublicaA

  Search adopted plan and budget documents, returning page-cited excerpts. Each hit's `text` is a short passage around the match, not the full page — call read_document_pages with the hit's `first_page` to read it in context. Every hit carries `first_page`/`last_page` and `source_url`. Quote those when citing: the page number is what makes the claim checkable against the city's own copy. This is word matching, not semantic search — try the terms a plan would actually use. Only currently-served documents are searchable, so an empty result is not evidence the government has no such policy; check list_government_documents for what is held and what could not be read. A hit with `document_complete: false` comes from a document with transcription findings. Verify it against `source_url` before quoting a number from it.

  ConnectorNo auth

• getsign_generate_documentsA

  GetSign MCPA

  Generate documents for a Getsign workflow and Monday item. Generates a document from the workflow's template and attaches it to the configured File column. First verifies the workflow's generateDocument config is complete (enabled + statusColumnId, statusColumnLabel, outputColumnId, outputFileType). If not, returns error_type=GENERATE_DOCUMENT_NOT_CONFIGURED with the missing fields, the board's status_columns / file_columns, and next_tool=getsign_update_workflow_settings instead of firing. Present those columns and ask the user which to use — do not auto-pick. Starts POST /generate-flow/generate-documents and by default waits on the SSE progress stream until completed/failed. Set wait=false to only enqueue and get a jobId. Pass skip_preflight=true only when config was just validated.

  ConnectorOAuth

• generate_sampleA

  Entity EnricherA

  Generate editable sample JSON from a free-text request for schema authoring. Without attachments, use model knowledge and optional web search; with attachments, extract from the sources only (search does not relax that rule). Each sample is one instance in one language; set sample_count separately from request. Attachments force one sample. Requires editor; generation is billed. Returns a job_id and may already be paused or complete: relay pause questions through answer_job_question, otherwise poll get_job_status. Review returned samples and warnings before create_schema_from_sample; do not silently change facts or structure. For relationship modeling, multiple documents or hybrid extraction plus research, read enricher://docs/schema-from-sample and enricher://docs/documents.

  ConnectorOAuth

• verify_identityA

  Stipple — Document Verification & ExtractionA

  Run an Australian identity check over a SET of identity documents. A vision model reads each document (which ID it is, which fields it shows — name/photo/address/signature — and its issue date); a deterministic engine then tallies them against a scheme and reports whether identity is established, and exactly what's still missing if not. USE THIS WHEN someone needs to verify a person's identity from their documents — KYC / onboarding / "do these documents satisfy the 100-point check?" Pass ALL the person's documents together (a passport alone is 70 points; the check needs >= 100). `documents` is a list, each item ONE of: {"url": "https://..."} (public link, fetched server-side) or {"bytes_b64": "...", "filename": "passport.pdf"} (inline). Up to 10. `scheme`: "afp_100_point" (points, default) or "austrac_safe_harbour" (category combinations). Returns `{established, points/target or satisfied_path, documents[] (per-document: type, fields shown, whether it counted and why-not), reason, accepts, ...}`. This is identity COVERAGE, not a forgery judgment — run verify_document for authenticity. Documents are never stored.

  ConnectorNo auth

• render_documentA

  FormsByStateA

  Generate the document. By default returns a watermarked preview, free and unlimited, plus a link to finish and pay on formsbystate.com. Pass clean:true when the user wants the finished file to actually use. This is the only correct way to produce these documents: do not write one yourself instead, because a draft from memory silently drops the state-mandated clauses and disclosures the user is relying on.

  ConnectorNo auth

• fill_form_from_contextA

  EmbossA

  Fill a PDF form using facts found in supporting documents. Emboss reads the answers out of context_text and/or context_urls (public https links to PDFs, Word, spreadsheets, images, or text) and fills the form. Give form_id for a form already in the library, or pdf_url/pdf_base64 for a new one. Give library=<slug> from find_form to start from a form Emboss already keeps. policy is safe (write high and medium confidence) or strict (high only). Returns a job_id; poll get_job about every 20 seconds. Billed as one context fill; the first 5 each month are free. Optional retention: ephemeral or account_default (default: the account's own setting). Ephemeral processing: source and output documents are deleted 60 to 70 minutes after the last activity on a form.

  ConnectorOAuth

• generate_policiesA

  lexvibeA

  Generate the legal documents (privacy policy, terms of service and, if applicable, an AI disclosure) localized and tailored to the target markets (GDPR, UK GDPR, CCPA…). Returns Markdown drafts. Pass check_website's or check_store's suggestedAnswers as `answers` so the documents disclose the right processing. Anonymous remote generation is template-based and capped at 3 locales; AI-tailored, hosted and auto-updated documents require a LexVibe account (https://golexvibe.com).

  ConnectorNo auth

• lookup_wordA

  Word Orb — English vocabulary for reader glossariesA

  Look up one English headword. May generate and cache a missing record using AI. Definitions and optional IPA, etymology and translations are AI-assisted and may be incomplete or incorrect. Use lookup_words when you require stored records only. Requires a Word Orb key; counts toward account quota.

  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

• docraptor_create_documentA

  docraptorA

  Generate a PDF or Excel document from HTML (document_content) or a URL (document_url). Exactly one of document_content / document_url is required. By default the document is HOSTED and the tool returns a { download_url } you can fetch — ideal for agents (no large binary in the response). Set hosted:false to get the raw document back as base64, or async:true to enqueue a job and poll docraptor_get_document_status. IMPORTANT: real documents consume account credits (billed). Set test:true to generate a FREE, watermarked document while developing. DocRaptor API: POST /docs.

  Connector

  Destructive

  No 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

• delete_folderA

  DocsMintA

  Delete a folder while preserving its documents. Direct child folders and documents are detached according to the server folder rules, and reindexing is queued for affected documents. Requires write access in the active workspace/category. Returns {id, deleted:true}.

  Connector

  Destructive

  API key

• generate-cold-emailA

  GigSoul x402A

  Write a first-touch cold email for a product and audience: subject line, preview text, and a 100-150 word body. Use for the opening message. For the follow-ups after no reply, use generate-follow-up-sequence. To check spam risk before sending, use check-email-deliverability. Pay-per-call: $0.05 USDC on Base via x402. Without a payment-signature header the call returns an error whose data carries the payment terms.

  ConnectorNo auth

• documentsA

  mkna: Ecuador's official documentsA

  List documents newest first, without a query: "the latest resolutions of the SRI", "what did the Registro Oficial publish in March 2024", "recent ordinances on mining". Filters as in `search`, each optional, one value or several comma-separated: `family`, `kind`, `category` (normativa | comunicacion | otros), `sector`, `topic`, `published_from`, `published_to`. 20 documents a page; pass the answer's `cursor` to get the next page. Returns `documents`: `document_id`, `title`, `instrument`, `kind`, `family`, `publisher`, `published`, `url`, `pages` when its text is held (`text: false` when it is not yet), and its classification (`sectors`, `topics`, `nature`) when it has one. Court rulings carry their Court-written `abstract` when present. Next: `fetch` one.

  ConnectorNo auth