Automated DOCX Redlining Engine
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LLMs speak Markdown; reviewers speak "Track Changes."
Adeu is a docx β LLM translator: a Model Context Protocol (MCP) server (Python and Node.js implementations) and accompanying SDKs that act as a Virtual DOM for Microsoft Word. It provides a two-way abstraction layer that lets AI agents freely edit document text without destroying the underlying formatting or complex DOCX XML.
While standard libraries like python-docx excel at generating documents from scratch, they fail at non-destructive redlining. Adeu solves this by translating .docx files into a token-efficient Markdown representation. This frees AI agents to focus entirely on document semantics instead of wasting tokens wrestling with OpenXML.
Adeu acts as an intelligent proxy, processing AI edits as safe, atomic transactions:
Built and maintained by the team at Adeu.
Adeu can be installed directly into AI assistants as an MCP server, used as a Claude Code plugin or Agent Skill, CLI tool, or used locally as a developer toolchain.
Adeu ships as a Claude Code plugin with a built-in agent skill that teaches Claude how to use the engine effectively. Inside Claude Code:
For best results, also connect either the Node MCP server (npx -y @adeu/mcp-server) or the Python MCP server (uvx --from adeu adeu-server). The plugin works without an MCP server too β it falls back to driving the uvx adeu CLI via Bash.
Adeu's redlining skill follows the open Agent Skills specification and works with any compatible agent:
The skill installs to your agent's skills directory and activates automatically when you ask Claude to redline, edit, or review a .docx file.
You can install Adeu directly into Claude Desktop using the official extension package:
Adeu.mcpb file from the GitHub Releases page..mcpb file, and follow the prompts.Adeu is available as a native Gemini CLI extension. To install:
For IDEs or clients that configure MCP servers via JSON, you can use either the Node.js or Python backend:
Node.js
Python (Required for Live MS Word integration on Windows)
To install Adeu using the Smithery package manager:
Adeu provides agents with specific tools to read, review, and edit documents safely.
MCP Apps UI: The
read_docxtool supports the MCP Apps UI protocol. When an agent reads a document, Adeu dynamically renders a custom, interactive Markdown view directly inside the chat window.
Recommended Agent Prompt: You can guarantee the best behavioral results by adding this context to your agent's system prompt or project instructions:
Role: Document Specialist Tools:
read_docx(clean_view=True): Read the final "clean" version of the text to understand context. Usesearch_queryandpagefilters to locate specific clauses without reading the whole document.process_document_batch: Commit & Negotiate Mode. Apply a unified list of changes. Usetype: "modify"for specific search-and-replace text edits (supportsmatch_mode="all"andregex=Truefor bulk updates), andtype: "accept","reject", or"reply"to manage existing Track Changes and Comments by ID.finalize_document: Pre-Send Scrub. Strip dangerous metadata, author names, and internal tracking IDs, lock the document (protection_mode="read_only"), and prepare it for distribution.
If you are running on Windows with Microsoft Word installed, Adeu can act as a real-time copilot, editing the active document right in front of you. This requires running the Python MCP server backend (see Developer Tools below).
If you are building a legal-tech application, an automated pipeline, or want to use the local CLI, use our SDKs.
The Python toolchain is managed via uv.
What the text projection preserves exactly, what it normalizes (lists, styles, synthetic pages), and what stays read-only is specified in docs/FIDELITY.md.
The entire core parsing and diffing engine is also available in pure TypeScript.
See the @adeu/core documentation for full installation and usage details.
Adeu ships as an n8n community node (n8n-nodes-adeu) for teams who prefer visual workflow automation over code. It exposes the full engine (extract Markdown, apply tracked changes, generate diffs, and finalize documents) as drop-in nodes that work in both deterministic pipelines and AI Agent tool calls.
See the n8n-nodes-adeu README for installation, $fromAI recipes, and example workflows.
langchain-adeu is an official integration package that exposes Adeu's local, offline-capable document manipulation tools directly to the LangChain ecosystem.
Bundle its capabilities as tools in your agent workflow:
Refer to the LangChain Workspace Guide for full development instructions and detailed parameters.
Adeu is designed as a Virtual DOM for DOCX. Because we keep the core strictly focused on OpenXML safety, we maintain a dedicated ecosystem/ directory for third-party integrations.
The ecosystem folder hosts policies and guidelines for third-party contributions such as legal validation workflows, CLM sync scripts, and specialized multi-agent architectures.
Are you a vendor or builder? We welcome PRs to the ecosystem folder! Please see our Vendor & Integration Policy to get started.
By default, the core Adeu redlining engine and local file tools are fully open-source and execute entirely on your machine. Adeu never phones home with your local documents (though your chosen LLM provider will naturally process the text the agent reads).
However, for teams requiring end-to-end workflows, you can connect to Adeu Cloud to unlock:
We welcome contributions from the community! Whether it's fixing bugs, adding capabilities, or improving documentation, please see our Contributing Guide for instructions on setting up the local uv environment, running tests, and understanding the project's strict XML safety guidelines.
MIT License. Open source and free to use in commercial applications.
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