"Information about the DOCX file format or tools for handling DOCX files" matching MCP servers:

Legal document redlining engine that applies AI-generated JSON changes as professional tracked changes with comments in .docx files, producing Word-indistinguishable output.

Editing of existing Word (.docx) files with formatting preservation. Supports comments, footnotes, and document comparison.

Enables creating and editing Microsoft Word (.docx) documents on Linux: native OMML formulas, tables, headers/footers, track changes, comments, footnotes, and document protection. Files are loaded from S3-compatible storage or URLs and saved results come back as HTTPS links with a sha256 checksum.

MCP server for generating professionally formatted Word documents (.docx). Supports corporate templates (colors, fonts, logo), headers/footers, and Markdown conversion.

Enables local .docx files to be managed with verified writes, returning before/after evidence for every mutation, plus PDF export and lock/sync status checks.

Enables natural language interaction with local .docx files, allowing users to find, read, search, and summarize Word documents using friendly names and location hints.

Bidirectional Markdown ↔ Word (.docx) converter. Read Word documents directly into Claude as Markdown, or save Claude's output as a properly formatted .docx with heading styles (Title, Heading 1–9), bold, italic, tables, lists, code blocks, and images. No cloud upload — runs entirely on your machine using python.

Enables reading, creating, and editing Microsoft Word .docx documents through natural language, including text and table manipulation, cell merging, shading, borders, and table layout controls, plus font, paragraph, and list formatting. Supports extracting paragraph text and tables, appending headings and paragraphs, find-and-replace, and row, column, and table restructuring.

An MCP server for reading, editing, and validating Microsoft Word documents with specialized support for track changes, comments, and footnotes. It enables structural auditing, heading extraction, and precise OOXML-level document manipulation through natural language tools.

Enables creation, editing, and management of Word documents through JSON schema with support for rich content including text formatting, tables, images, code blocks, and lists. Provides comprehensive DOCX operations including opening existing documents, modifying content, and saving files to disk.

Enables AI agents to read, edit, and create Microsoft Word documents (.docx) with support for rich text, tables, and images, deployable locally or via SSE.

Enables comprehensive Microsoft Word document manipulation through the Model Context Protocol, with advanced table operations including creation, data management, formatting, and bulk operations. Supports document creation, editing, and saving with plans for full document content management.

A FastMCP-powered microserver that allows users to programmatically generate well-formatted .docx documents with consistent styling, including features like titles, paragraphs, headings, citations, and footers.

Provides comprehensive read/write access to Word documents, including comments, track changes, and reply threads.

Generates Word documents for comparison tables and specifications from structured JSON data. Supports both stdio mode for Claude Desktop/Code and HTTP mode for AI frameworks like Dify and LangFlow.

MCP server for Word document (.docx) creation and manipulation — the production-grade document automation tool for AI agents.

A local MCP server for reading and editing Word (.docx) documents with 33 tools for content, formatting, comments, page layout, and track changes, running locally via stdio.

Enables comprehensive DOCX/OOXML document manipulation via MCP, covering text, tables, images, content controls, comments, tracked changes, and metadata.

Enterprise-grade document editing and management server that enables AI-powered operations on Microsoft Word DOCX files, including creating, editing, formatting, and exporting documents through both MCP protocol and RESTful API.

A comprehensive Model Context Protocol server that processes Microsoft Word documents with full formatting support, enabling text extraction, HTML/Markdown conversion, structure analysis, and image extraction.

Enables creating professional Word documents from markdown or structured content with fast, customized formatting via natural language.

Enables AI agents to create, read, and edit Word documents with tracked changes, comments, and template manipulation, including bulk text replacement and paragraph-level operations.

Enables AI assistants to create, edit, and extract data from Microsoft Word documents programmatically, supporting document creation, content editing, table manipulation, parameter extraction, and template generation.

Enables AI agents to convert Markdown into styled Word (.docx) documents, with control over fonts, colors, and layout via parameters.

Enables cloning a styled Microsoft Word template and filling it with content from another document, preserving formatting, images, and layout, with optional PDF conversion.

A Word document processing MCP server that exposes a single tool (docx_process) routing to 63 operations covering creation, editing, formatting, and querying, with on-demand skill loading for context efficiency.

Enables an AI assistant to search real card data, check legality and points, validate or save decks, pull rulings, and review tournament meta for TCG Advanced and Genesys. It exposes tools for card search, archetype lookup, deck validation, meta snapshots, and optional turn-1 line search.

Enables AI agents to turn raw or loosely formatted screenplay text into professionally structured screenplay blocks and typeset plain text on fixed CJK or Latin character grids, with deterministic scene analysis, shootability diagnostics, and Fountain conversion. It runs locally with no account, key, quota, or network calls.

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.

Enables local MCP-assisted processing of Access database tables, HTML5 advertising ZIP image assets, layered PDFs, and ONIX book-update requests through RapidAPI. It saves results in a selected workspace folder while requiring explicit consent for each processing call.