Skip to main content
Glama
519,985 tools. Updated 2026-09-06 08:15

"How to read content from a Word document" matching MCP tools:

  • Track who read your EveryPage document and how far they got: views, unique readers, read time, completion rate, countries, and drop-off points. Answer 'did they read my proposal?'
    MIT
  • Read the content of one side of a conflicting file to understand the code and decide how to resolve the conflict. This read-only action supports informed merge conflict resolution.
    MIT
  • Find specific placeholder text in a Word document and replace it with an image. Provide the Word file, image, search text, and page numbers to update the document in place.
    MIT
  • Read scattered word and double-word device values in one request, reducing round-trips for efficient data retrieval from industrial endpoints.
    MIT

Matching MCP Servers

Matching MCP Connectors

  • Transform any blog post or article URL into ready-to-post social media content for Twitter/X threads, LinkedIn posts, Instagram captions, Facebook posts, and email newsletters. Pay-per-event: $0.07 for all 5 platforms, $0.03 for single platform.

  • Turn any PDF into structured JSON via AI + OCR: invoices, bank statements, contracts.

  • Create a new Word (.docx) document with custom page setup, margins, metadata, and default Arabic font with RTL settings, ready for right-to-left content.
    MIT
  • Extract text from Word documents with optional page ranges and filters for comments, headers/footers, and tracked changes, saving both text and metadata.
    MIT
  • Retrieve PDF document metadata like page count, encryption, version, title, and author without parsing content. Inspect a PDF's properties to decide how to process it.
    MIT
  • Read the markdown content of a Rootr document by path or node id to view its structure before editing or appending.
    MIT
  • Detect Word document structural issues: dangling relationships, orphan parts, broken references, undefined styles, duplicate revisions, missing images, and more. Reports problems, never fails.
    AGPL 3.0
  • Retrieve document content by providing share ID and optional document ID. Use for reading collaborative notes from shared folders or documents.
    MIT
  • Compare a document snapshot to the current text or another snapshot, showing added and removed paragraphs and net word count change.
    AGPL 3.0
  • Retrieve the text content of a single document from your Scrivener project. Supports reading plain or formatted text, with offset and limit for navigating long documents.
    AGPL 3.0
  • Retrieves the complete content of a document using its ID from search results, including title, URL, and metadata for thorough reference.
    Apache 2.0
  • Write full text content to a shared document by its document ID, replacing the entire document. Requires share and document IDs.
    MIT
  • Read a specific section of a document by matching a heading substring. Returns content from that heading to the next heading of same or higher level, including all nested subsections.
    MIT
  • Retrieve document metadata (title, word count, synopsis, label, status, parent, custom fields) without reading the full body text. Inspect document details efficiently.
    AGPL 3.0
  • Read document content as blocks and plain text via WebSocket snapshot. Optionally include rendered markdown to avoid a separate export call.
    MIT