"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.

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.

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.

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 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.

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.

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 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.

Enables comprehensive management of Microsoft Word documents with 30+ tools for reading, writing, formatting, template merging, image extraction, equation extraction, and style application.

Enables adding footnotes, in-text citations, and a bibliography/works-cited section to Word .docx files without Word, supporting APA 7, MLA 9, and Chicago 17 styles.

An MCP server that provides file and directory tools for LLMs, including project structure analysis, file reading, and project context resources, with support for .gitignore patterns.

A powerful Word document processing service based on FastMCP, enabling AI assistants to create, edit, and manage docx files with full formatting support. Preserves original styles when editing content.

MCP server that provides OpenRouter model pricing data, enabling price lookups, trending/cheapest lists, and model searches without an API key.

Enables Claude Cowork on Windows to read, write, edit, list, find, and regex-search files inside a WSL distribution over stdio, accepting Windows and Linux path spellings. Access is confined to server-fixed roots, with secrets files refused, key-shaped strings redacted, and no delete or move operations.

Provides tools to read PDFs, extract images, convert between PDF and DOCX, create DOCX from text, and generate PDFs from DOCX, text, or HTML.

An MCP (Model Context Protocol) server that gives AI agents live, structured ad intelligence across Facebook, Google, and Instagram — data that no base model can produce from training alone. Powered by Apify actors. Works with any MCP-compatible client: Cursor, Claude, etc.

A secure MCP server for converting documents between Markdown, DOCX, HTML, PDF, and TXT formats within a sandboxed working directory.

Generates test files locally (images, PDFs, CSVs, corrupted files, etc.) from natural language prompts, with configurable sizes and safety limits.

MCP server that allows AI agents to read, search, summarize, and answer questions about local PDF, DOCX, XLSX, and TXT files through five tools.

A local vector database system that provides LLM coding agents with fast, efficient semantic search capabilities for software projects via the Message Control Protocol.