"How to create .docx documents for Microsoft Word" matching MCP servers:

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.

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.

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 assistants to create projects, deploy files, container images, or Git repositories, attach domains, set write-only secrets, add Postgres, read logs, metrics, and failure summaries, and roll back.

Let your AI assistant create professional Office documents — PowerPoint, Word, Excel, emails & XML — with a single prompt.

Enables AI assistants to edit Microsoft Word documents in real time, supporting tracked changes, comments, formatting, and per-action undo across 124 tools.

Safely downloads and extracts public tender documents from PDFs, Office files, and ZIP archives into text with structured signals, while also supporting document comparison and base64 extraction.

MCP server providing 115 tools to control the Windy Word voice-to-text desktop app, enabling paste, hotkeys, transcription, recording, and many other operations.

A dynamic service that creates and manages Model Context Protocol (MCP) servers, allowing users to spawn, customize, and control multiple MCP servers as child processes.

A Model Context Protocol server that enables AI assistants to create, read, edit, and format Microsoft Word documents through standardized tools and resources.

Enables managing Microsoft To Do lists and tasks through MCP, including creating, updating, completing, deleting, searching, and checklist operations via Microsoft Graph.

Model Context Protocol servers for Microsoft 365, enabling AI assistants to interact with Calendar, Contacts, OneDrive, Outlook, and SharePoint via the Microsoft Graph API.

Enables AI agents to generate editable PPTX presentations and standardized Word simulation reports with format confirmation, asynchronous task processing, semantic revision, and secure file download via MCP.

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

This read-only MCP Server allows you to connect to XML Documents data from Claude Desktop through CData JDBC Drivers. For full CRUD support, check out our MCP Server for XML Documents (https://www.cdata.com/drivers/xml/download/mcp).

Enables LLMs to query documents using semantic search, supporting PDFs, Word, Excel, and more. Organizes documents by topics from folder structure and provides advanced search features like phrase matching and date filtering.

An MCP server that enables programmatic interaction with Microsoft Word documents on Windows via COM Interop, allowing operations like document creation, text manipulation, formatting, and table management.

A remote MCP server for Microsoft To Do that enables read/write access to tasks, lists, and checklists from ChatGPT or Claude, with multi-account support and Azure deployment.

Enables MCP clients to read and write Microsoft Advertising REST API v13 data — reporting on Search, Shopping and Performance Max campaigns, researching keywords, and creating or updating campaigns, ad groups, ads, keywords, targeting, budgets and bids. Includes dry-run previews, confirm-word guards for deletes and large or spend-raising changes, read-only mode and an audit log with before-snapshots.

Connects AI assistants to Microsoft 365 accounts to manage emails, calendars, files, and Teams messages. It offers 71 tools and supports multi-user environments through a secure, customizable server architecture.

Enables AI assistants to convert CSS-animated SVGs into videos (MP4/WebM/MKV/MOV) and animated images (aPNG/GIF) with frame-accurate rendering and transparency support.

Enables AI-driven 3D modeling and scene creation in Blender, allowing LLMs to create, modify, and manipulate objects, materials, and assets through natural language.

Converts Markdown documents to professional Word documents with advanced formatting capabilities including mathematical formulas, custom styling, tables, images, headers/footers, and watermarks.

A Model Context Protocol server that converts Markdown documents to plain text with flexible options and dual protocol support.

Enables AI assistants to query PostgreSQL, MySQL, SQL Server, Oracle, and MongoDB databases through MCP with read-only, audited access.

Enables existing Express routers to be exposed as MCP tools, dispatching tool calls through the Express middleware stack in-process without a network hop.

Auto-generates MCP tools from your OpenAPI spec, allowing natural language interaction with any API via configurable headers and serverless deployment.

Enables AI clients to list, read, search, and extract structured data from Wikipedia featured articles, including collection and summarization via OpenAI.

Enables AI assistants to call any SOAP/WSDL web service as MCP tools, automatically converting each WSDL operation into a callable tool with authentication and security controls.

A minimal MCP server that auto-generates tools from your OpenAPI spec, optimized for Vercel.