"Information about Microsoft Office Word" matching MCP servers:

A Model Context Protocol server for creating, reading, and manipulating Microsoft Word documents, enabling AI assistants to work with Word files through document editing, formatting, and conversion capabilities.

Enables AI assistants to create, read, and manipulate Microsoft Word documents with rich editing capabilities.

Enables AI assistants to create, read, edit, and analyze Microsoft Word documents through a standardized protocol, covering headings, paragraphs, lists, images, tables, styling, footnotes, comments, document protection, and PDF conversion. It also supports advanced manipulation such as inserting content relative to existing text, search-and-replace, custom styles, and detailed table and cell formatting.

MCP server for reading, writing, editing, formatting, and exporting Microsoft Office documents (Word, Excel, PowerPoint) via stdio JSON-RPC, with 47 tools and cross-platform support.

MCP server for Microsoft Office file operations. Read, write, and create Excel, Word, and PowerPoint files directly from your local filesystem.

Enables AI clients to create, inspect, edit, analyze, review, and finalize Word, Excel, and PowerPoint files, with optional native Windows Office automation for full-fidelity editing, calculation, rendering, PDF export, and visual review.

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.

MCP server for creating and editing PowerPoint, Excel, and Word documents. Runs as an SSE server and provides 18 tools for document manipulation.

Enables AI agents to read Word, Excel, PowerPoint, and PDF documents through MCP tools, returning structured Markdown, spreadsheet tables, slide content, and extracted PDF text with clear truncation and error handling.

MCP server for real-time Microsoft Word document manipulation via COM automation. Word runs in a visible window — every change appears instantly.

Enables reading, creating, and appending content to Microsoft Word (.docx) files through natural language commands.

Enables AI assistants to read, create, edit Word/Excel/PPT files and manage the filesystem on the user's computer via natural language.

Enables AI agents to route Office and PDF tasks through a single MCP interface, including Word/Excel/PowerPoint reads and edits, zero-loss Excel XML edits, PPTX/DOCX generation, Markdown-to-Word conversion, and multi-strategy PDF parsing, while enforcing workspace and write-safety gates.

A Python application that allows creating and editing Microsoft Word (.docx) documents through an API, built with FastMCP for interacting with Word documents.

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

Enables agents to turn a short JSON specification into real, properly formatted Excel, Word and CSV files in a single tool call. It supports multiple styled sheets with column types, totals, autofilter and frozen headers, headings, tables and bullets in Word documents, and custom-delimiter CSV output, without generating code or writing outside the working directory.

MCP server for creating and reading Word (.docx) documents with rich formatting support.

Provides MCP tools for working with Microsoft Word documents, enabling reading, editing with tracked changes, formatting, table manipulation, comments, and PDF conversion via direct OOXML manipulation.

Provides tools to extract, convert, and generate Microsoft Office documents (Word, Excel, PowerPoint) via the Model Context Protocol, with support for reading, editing, and auditing document content.

Enables AI agents to inspect, read, create, format, edit, validate and convert DOCX, XLSX, PPTX and PDF documents through standard OOXML manipulation plus a locally installed R7 converter, without emulating mouse or keyboard input. It also optionally bridges to a document the user has open in R7-Office Desktop over loopback WebSocket.

MCP server for Office document automation, enabling AI assistants to create, read, and clone Word/Excel/PPT templates while preserving formatting.

Enables reading, writing, editing, and converting Office documents (ODT, DOCX, ODS, XLSX, PDF, etc.) using MCP tools, with no external dependencies.

Enables creating, inspecting, and reviewing local spreadsheets, documents, slides, Base tables and Board canvases from WorkBuddy via MCP, with read-only live previews and a versioned draft review workflow.

Enables creating, editing, reading, and converting Word, Excel, PowerPoint, PDF, and plain-text documents, including live editing of open Office documents, template-based document generation, and high-fidelity PDF/PNG rendering.

A consolidated MCP server for creating, reading, and manipulating Microsoft Word documents with 25 tools including search/replace, track changes, and document protection.

An MCP server for creating and editing Word, Excel, and PowerPoint documents through AI assistants.

A local MCP server that lets Claude, Cursor, Codex, or any MCP client work with Office documents on your Mac: evaluate spreadsheet formulas, read/write XLSX and PPTX, extract structured DOCX content, and merge/split/protect PDFs. 100% local, no network calls, no account. 14 tools.

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 reading and analyzing Word documents with advanced features including table extraction, OCR image analysis, full-text search, and intelligent caching for optimized performance on large documents.

Enables AI agents to convert GitHub Flavored Markdown into formatted Word (.docx) files, including headings, lists, tables, links, code and images, with an optional Chinese official document (公文) font preset. Conversion runs locally, so no content is uploaded.