adeu MCP Server
dealfluence/adeu
[](https://agentrank-ai.com/tool/dealfluence--adeu/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge) docx ↔ LLM translator. Projects .docx office files to Markdown for editing. Projects edits back to OOXML as tracked changes (redlines). Python and Node.js implementations.
claude mcp add agentrank -- npx -y agentrank-mcp-server Overview
dealfluence/adeu is a Python tool licensed under MIT. docx ↔ LLM translator. Projects .docx office files to Markdown for editing. Projects edits back to OOXML as tracked changes (redlines). Python and Node.js implementations. Topics: ai-agents, document-automation, docx-converter, legaltech, llm-tools, mcp-server, python-library, redline, gemini-cli-extension.
Ranked #718 out of 24846 indexed tools.
In the top 3% of all indexed tools.
Ecosystem
Score Breakdown
168 stars → growing community
Last commit 17d ago → recently updated
31/39 issues closed → decent issue management
8 contributors → small team
No dependents → no downstream usage
Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →
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From the README
# Adeu: Track Changes for the LLM era **LLMs speak Markdown; reviewers speak "Track Changes."** Adeu is a **docx ↔ 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: 1. **Read:** Translates the document (from disk or live Word) into LLM-friendly **[CriticMarkup](https://fletcher.github.io/MultiMarkdown-6/sRead full README on GitHub →
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