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.
MCP
adeu
Added 1 June 2026
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
How to use
Install
npx skills add dealfluence/adeu Tools exposed
npxuvxgemini
Tested with
Claude Desktop, Claude Code, Cursor, Windsurf, VS Code, Gemini CLI
Example client config
{\n "mcpServers": {\n "adeu": {\n "command": "npx",\n "args": ["-y", "@adeu/mcp-server"]\n }\n }\n} 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.
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