Enterprise DNA
M MCP Servers Developer low

adeu

by ai.adeu

docx ↔ LLM translator. Projects .docx to Markdown for editing. Projects edits back to OOXML as tracked changes. Python and Node.js implementations.

A

MCP

adeu

Added 1 June 2026

#ai-agents #document-automation #docx-converter #gemini-cli-extension #legaltech #llm-tools #mcp-server #python-library

Overview

adeu converts .docx files to Markdown for editing and projects changes back to OOXML as tracked changes. It acts as a bidirectional translator between docx and LLMs, with implementations in Python and Node.js.

Best for

Best for
Developers needing to programmatically edit Word documents via LLMs while maintaining change tracking

Use cases

  • Round-trip editing of .docx files through LLMs via Markdown
  • Automating tracked-change updates to Word documents from AI outputs
  • Integrating docx-to-Markdown conversion into Python or Node.js pipelines

Notes

adeu converts .docx files to Markdown for editing and projects changes back to OOXML as tracked changes. It acts as a bidirectional translator between docx and LLMs, with implementations in Python and Node.js.

86 stars on GitHub. Last updated 2026-06-01. Licensed MIT.

Use cases

  • Round-trip editing of .docx files through LLMs via Markdown
  • Automating tracked-change updates to Word documents from AI outputs
  • Integrating docx-to-Markdown conversion into Python or Node.js pipelines

Pros

  • Preserves document structure with tracked changes on round-trip
  • Supports both Python and Node.js for flexible integration
  • Lightweight and focused on a single, well-defined task

Cons

  • Limited to .docx input and Markdown intermediate format
  • Small community with 86 GitHub stars may mean slower support
  • No built-in LLM integration; requires external orchestration

Indexed from mcp-official-registry and enriched against its public facts.

Pros

  • Preserves document structure with tracked changes on round-trip
  • Supports both Python and Node.js for flexible integration
  • Lightweight and focused on a single, well-defined task

Cons

  • Limited to .docx input and Markdown intermediate format
  • Small community with 86 GitHub stars may mean slower support
  • No built-in LLM integration; requires external orchestration

Pairs with

Other entries in the index that connect to this one. Click through to see the chain.