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

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

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 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.

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

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.

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.

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

MCP server for file operations with non-UTF-8/Unicode encoding: Cyrillic, CP1251, CP1252, ISO-8859, KOI8 auto-detection

Adds workspace-scoped copy, move, and delete tools to DevSpace so filesystem changes are validated against workspace boundaries and protected paths instead of relying on shell cp, mv, or rm commands.

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

Enables AI agents to query OpenRouter model information including prices, ELO rankings, context, and perform comparisons.

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.

Six local CPU MCP tools for Markdown/HTML-to-PDF conversion, PDF text extraction, safe SVG-to-PNG rendering, and PDF link and chapter inspection. Linux/WSL2; no GPU, hosted inference API, or model download required.

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.

A local stdio MCP server for managing files on XServer via SFTP, enabling secure file operations, backups, and workspace management for XServer hosting.

A lightweight MCP server for basic file operations, enabling reading, writing, and listing files securely via the Model Context Protocol.

Provides secure file read, write, and edit operations for Windows, with enterprise-grade features like atomic writes, file locking, and path validation.

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.

Provides a stable, side-effect-free MCP tool contract that enables AI workflows to be prototyped, demoed, tested, or dry-run without connecting to databases, APIs, files, or other real data sources. It enables swapping in a real data server later without changing the AI-facing interface.

Enables coding agents to publish HTML pages and small sites over MCP, returning a stable link and keeping every version, with access limited to specific people, an organization, or anyone with the link.

Enables ChatGPT/Codex to read, search, and edit files in a single allowed folder on Windows through OpenAI Secure MCP Tunnel.

Enables secure, read-only access to local project files (including text, DOCX, PDF, and XLSX) through MCP, with strict directory whitelisting and no write, edit, or command-execution tools.

An MCP server for local testing that enables file management operations, requiring authentication via Microsoft identity platform credentials.

An MCP server that provides multiple file conversion tools for AI agents, supporting various document and image format conversions including DOCX to PDF, PDF to DOCX, image conversions, Excel to CSV, HTML to PDF, and Markdown to PDF.