Skip to main content
Glama
619,939 tools. Updated 2026-09-28 21:18

"Information about Word DOCX files" 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.
    ConnectorNo auth
  • 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
  • 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
  • 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
  • Converts a document to markdown or plain text: pass a public URL or the file itself as base64, and get back the content with headings, tables and lists preserved, at a fraction of the tokens that rendered pages cost. Use it when a harness has no native reader for the format — .docx, .xlsx, .odt and .numbers rarely have one — when a document is only a URL away, or when a long PDF's text matters and its layout does not. Handles PDF (.pdf), Word (.docx), Excel (.xlsx, .xlsm, .xlsb, .xls), OpenDocument (.odt, .ods), Apple Numbers, CSV, HTML, XML, and plain-text formats such as .txt and .md. The format is detected from magic bytes, not trusted from the file name, so a PDF served from a .php URL still converts. Two honest limits: a scanned PDF with no text layer has nothing to extract (this is conversion, not OCR), and legacy binary .doc and .ppt files are not readable — resave them as .docx or .pptx. Images are refused rather than described. Documents up to 10 MB.
    ConnectorNo auth
  • 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

Matching MCP Servers

  • A
    license
    A
    quality
    F
    maintenance
    Legal document redlining engine that applies AI-generated JSON changes as professional tracked changes with comments in .docx files, producing Word-indistinguishable output.
    6
    1
    MIT
  • F
    license
    A
    quality
    C
    maintenance
    An MCP server that provides information about Utkarsh, including bio, skills, work experience, and portfolio projects, accessible via local stdio or remote HTTP with OAuth.
    6
    -

Matching MCP Connectors

  • Create real Word .docx files from your AI chat: proposals, quotes, contracts, statements of work.

  • Convert PDF pages into editable Word-ready text from your AI chat, all offline.

  • Offload a document conversion to Botverse — runs server-side in seconds, returns a download link, and frees you to continue with other tasks while it processes. Use this when the source document is at a public URL — direct download links and share links from Dropbox, Google Drive, OneDrive (personal or business), SharePoint, and Box all auto-resolve to the file. If you already have the content as a string, use convert_content instead — no upload step needed. Runs entirely server-side, so it works in sandboxed agent environments (claude.ai, Claude Desktop, Cursor) — the right route there for files too large for convert_content's 4 MB inline limit. Supported inputs: md, html, rst, txt, docx. Supported outputs: docx (Word), pdf, html, txt, md, rst, xlsx (tables extracted). Returns a job_id immediately. Poll get_job_status every 5s until 'complete', then get_output_content (inline, sandbox-safe) or get_download_url (download link). Flat fee $0.05 per file.
    ConnectorNo auth
  • Convert a document inline — pass the content directly as a string (or base64 for binary inputs like .docx). PREFERRED route for documents, and the one to use in sandboxed agent environments (claude.ai, Claude Desktop, Cursor): it runs entirely server-side, so it never needs the direct upload those sandboxes block. Limit: up to 4 MB of content — already huge (a 500-page book is ~1 MB of text). For anything larger, use convert_from_url with a public URL. Supported inputs: md, html, rst, txt (plain text), docx (base64). Supported outputs: docx (Word), pdf, html, txt, md, rst, xlsx. Returns a job_id — poll get_job_status until 'complete', then get_output_content (inline bytes, sandbox-safe) or get_download_url (download link). Flat fee $0.05 per file. TIP: if you have shell access and are NOT sandboxed (e.g. a local coding agent), the `botverse` CLI (`npx botverse convert <file> --to <fmt>`) is faster for local files — it streams from disk instead of re-emitting the content through the model.
    ConnectorNo auth
  • Merge multiple PDF files into a single document. Preserves bookmarks, links, and formatting. Returns JSON: { url } — a temporary download URL (valid ~1 hour). Minimum 2 files, no maximum. Files are concatenated in array order. 100 sats per merge regardless of file count. Use convert_file instead if you need format conversion (e.g., DOCX→PDF). Pay per request with Bitcoin Lightning — no API key, no account needed. Requires create_payment with toolName='merge_pdfs'.
    ConnectorNo auth
  • Get full details of a support ticket by case number. Use fetch_open_tickets or fetch_closed_tickets first to find tickets, then use this tool with the case number to get complete information including notes, files, collaborators, and statistics. Present only human-readable information (case number, subject, dates, notes). # get_ticket ## When to use Get full details of a support ticket by case number. Use fetch_open_tickets or fetch_closed_tickets first to find tickets, then use this tool with the case number to get complete information including notes, files, collaborators, and statistics. Present only human-readable information (case number, subject, dates, notes). ## Parameters to validate before calling - case_number (string, required) — The ticket case number (e.g., "HYXTNJV")
    ConnectorNo auth
  • Get detailed information about a specific ad request, including pool selections if targeting mode is manual.
    ConnectorNo auth
  • Add a local file's content to a knowledge base (txt/md/html/pdf/docx). **This MCP runs on the platform server and cannot read paths on YOUR machine.** For text files, read the content yourself and call `add_knowledge_text`; for binaries (pdf/docx), upload via the console, or curl `/knowledge-bases/{name}/documents/upload`. **To ingest a whole folder, zip it and send that one endpoint** — subdirectories are walked, md/txt/pdf/html/docx are ingested one by one, and document names use the in-archive relative path (`2025/rates.pdf` vs `2026/rates.pdf` therefore never collide). Images, `.DS_Store` etc. inside the zip are ignored; if the archive contains an encrypted, corrupt or abnormally high-compression file, **the whole archive is rejected** naming the offending entry.
    ConnectorNo auth
  • WHEN: the user asks about business/functional context that lives OUTSIDE the D365 code KB -- specs, functional design docs, mapping sheets, contracts, meeting notes, screenshots' captions -- anything an admin uploaded via the admin portal's 'Context Documents' library (PDF, Word .docx, Excel .xlsx/.xlsm, CSV, plain text/Markdown/JSON). Does NOT search X++ code or AOT objects -- use search_d365_code / get_object_details for that. Triggers: 'what does the spec say about...', 'check the mapping document for...', 'cherche dans les documents de contexte', 'according to the functional design'. An excerpt containing a 'Image N' marker has a picture the text cannot convey (a diagram, a screenshot): call again with includeImages=true to receive those pictures inline.
    ConnectorNo auth
  • Attach a document or image to a standalone task. Max 25MB. Supported types: PNG/JPEG/GIF/WEBP/SVG images, PDF, Word/Excel documents, plain text/markdown/CSV. Use create_standalone_comment instead for plain text notes — this tool is for actual files.
    ConnectorOAuth
  • Full-text search across all Gonka documentation files. Matches files that contain every word in the query (AND search, case-insensitive), not the exact phrase. Use this when query_graph() returns no results.
    ConnectorNo auth
  • Get information about MyDriverParis services, coverage areas, airports served, and policies. Use this to answer customer questions.
    ConnectorNo auth
  • Step 2 of transcribing a file. Re-checks that the account has credits and starts the job. The backend verifies the audio was actually uploaded to S3 (via the curl command from prepare_upload) and rejects the request if it is missing. This consumes one credit. The four result files (PDF, Markdown, DOCX, CSV) are emailed to the address when processing finishes.
    ConnectorNo auth
  • Get a downloadable PNG image, PDF, or Word (.docx) file of a document already published to SendPage. Use this when the user wants a file copy — to attach, print, or hand over — not just the link. Returns a URL to fetch the file. PNG and PDF are free (free-tier documents carry a small watermark); Word export requires Pro.
    ConnectorNo auth
  • Document Converter — Office & document converter — DOCX/DOC/ODT/RTF/XLSX/XLS/ODS/CSV/PPTX/PPT/ODP/HTML/EPUB/TXT → PDF plus office round-trips (csv→xlsx, docx→odt, epub→pdf) via LibreOffice; MARKDOWN → pdf/docx/html/epub/txt via pandoc with real GFM semantics (headings, lists, tables, code fences); and DOCX/HTML/PDF → MARKDOWN (the LLM-ingestion direction — turn a document into clean GFM an agent can read; PDF via text-layer extraction); plus Jupyter notebooks (.ipynb) → pdf/html/docx/md via pandoc. Pass 'from' so the converter knows the source format. For images/audio/video use convert_file; for data-text transforms use convert_data. Capability envelope: a PDF source extracts to text/markdown only (to=md) — for editable output from a PDF use pdf_to_word / pdf_to_excel / pdf_to_text / pdf_to_images. Office conversions are same-category only (Word↔Word, Sheet↔Sheet, Slides↔Slides) plus any→pdf; cross-category conversions (e.g. Word→slides, Sheet→Word) are not supported. [category: convert]
    ConnectorOAuth
  • Use this when the task calls for plain text files on a paired computer: source code, configuration, Markdown, logs, scripts, or other line-oriented text. Use read_document instead for PDF, DOCX, XLSX and other structured document content. read_file keeps legacy PDF/DOCX extraction for compatibility but should not be the model’s first choice for those formats.
    ConnectorOAuth
  • Return an inline DOCX artifact from supplied report_meta, tables, metrics, and summary content; this read-only renderer does not persist hosted files. Use this only when a structured report payload already exists; use report_pdf_generate for fixed-layout output or compliance_edd_report to build the memo first.
    ConnectorNo auth