"A server for finding information and resources about Word 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.

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.

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

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

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 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 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.

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.

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

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.

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.

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

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

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.

A Model Context Protocol server for enterprise-grade document automation, enabling AI assistants to create, read, manipulate, and analyze Microsoft Word documents programmatically.

Enables AI agents to edit Word documents using track changes, allowing lawyers to review each modification via Word's revision interface.

Enables building and evaluating LangGraph agents over a protocol-level MCP server to measure failure rates across four agent topologies.

MCP server for advanced Arabic Microsoft Word document creation, formatting, XML manipulation, and text repair with full RTL support. It enables users to generate, inspect, and modify .docx files through natural language and 13 specialized tools.

Enables AI assistants to directly read, edit, and manipulate Word documents, supporting image and table operations, paragraph editing, and search/replace.

Enables MCP clients like Claude to query Chinese A-share market data, including K-line charts with forward/backward adjustment, limit-up and limit-down pools, per-stock fund flows, index quotes, and stock news, with automatic symbol normalization and retry handling for throttled data sources.