"A server for finding information and resources about Word DOCX files" matching MCP servers:

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

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.

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.

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 programmatic generation of Microsoft Word documents (.docx) from AI-generated text and data, with support for Markdown formatting, tables, headers, and rich document elements that are saved directly to the local file system.

Structure-preserving Word DOCX editing MCP server with a .NET Open XML backend and Office.js live sessions. Enables safe, auditable, incremental editing of Microsoft Word documents for AI agents.

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

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

MCP server that demonstrates the Resources feature by exposing static and dynamic resources, including contact data and personalized greetings, through MCP.

LLM routing proxy that cuts API costs 60-90% by auto-selecting the cheapest capable model across OpenAI, Anthropic, and Google. Provides stats, config, and model comparison tools via MCP.

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 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.

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

Enables AI agents to safely explore directories, read files, search content by pattern or filename, and edit files with checksum verification and dry-run preview within sandboxed filesystem access.

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.

Enables creation and management of Word documents from markdown content, with support for multiple templates and conversion of chat conversations to formatted Word documents.

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.

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

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

Enables AI assistants to create and manipulate Microsoft Word documents programmatically with support for rich text formatting, tables, lists, headings, and find-and-replace operations.