"Cargo Doc" matching MCP servers:

MCP server for reading and writing .docx files. Exposes four paginated tools so agents can batch-read document content and styles, write content, and union style definitions.

Legal document redlining engine that applies AI-generated JSON changes as professional tracked changes with comments in .docx files, producing Word-indistinguishable output.

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.

Enables AI agents to read and edit Word (.docx) and PDF documents with byte-level fidelity, using minimal in-package rewrites for DOCX and text-layer detection with page rendering for PDF, including OCR-free handling of scanned files via image output.

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

Enables AI clients like Claude to read and manage Microsoft To Do task lists and tasks via the Microsoft Graph API, running locally over stdio with secure token storage.

Enables MCP-compatible AI clients to create, read, edit, format, organize and search your documents through the Google Docs and Drive APIs after a one-time OAuth sign-in. Supports appending, find-and-replace, styling, tables, lists, links, page breaks and full-text search without opening the Docs UI.

Enables AI agents to generate real Office documents (.pptx, .docx, .xlsx) and source code from natural language via MCP protocol.

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 AI assistants to read and analyze Google Docs comments, including authors, status, quoted text, and reply threads, via a read-only interface with OAuth 2.0 sign-in.

Allows AI assistants to fetch and read Enterprise WeChat documents in real time using cookie authentication and HTML-to-Markdown conversion.

Lets AI apps read and edit Google Docs in plain language, including reading as text or Markdown, making precise range-based edits, styling, working with comments, and exporting to PDF, DOCX, and other formats.

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

Enables large language models to refine Office documents (Word, Excel, PowerPoint) via interactive visual selection of text and fine-grained prompt annotations in a browser window, with version history and precise location-based edits.

Enables AI agents to edit Google Docs via text anchors rather than character indices, preserving version history and enabling surgical edits without full document rewrites.

An MCP-compliant server that exposes Gmail and Google Docs as tools, enabling AI agents to draft, send, and manage emails, as well as create, read, and append to documents through natural language.

Enables AI agents to perform safe, semantic edits on Markdown and DOCX documents through a normalized model with staging, diff review, and stale-edit protection.

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.

Exposes reusable MCP tools for composing Gmail drafts, sending emails, and appending content to existing Google Docs, allowing compatible clients to automate these Google Workspace actions.

MCP server for generating professionally formatted Word documents (.docx). Supports corporate templates (colors, fonts, logo), headers/footers, and Markdown conversion.