revisedoc

Edit .docx files the way Word intended — with full change tracking, inline comments, and revision history. No more sending around unmarked copies or losing track of what changed. Use it from the command line, from your Python code, or hook it up as an MCP server so your AI coding agent can edit documents with the same care a human reviewer would.

Features

• Tracked-changes replace — Replace text using Word-compatible <w:del> / <w:ins> markup
• Inline comments — Anchor comments to any text range
• Revision inspection — List all tracked changes with id, author, date, type, text
• Revision restoration — Undo a specific tracked change
• MCP server — Expose all operations as structured tools for AI agents (opencode, Claude Code, etc.)

Use Cases

• Contract redlining — Replace outdated terms in a .docx contract with tracked changes so the other side sees exactly what was modified.

• Document review workflows — Annotate drafts with inline comments, then list and restore revisions to review changes systematically.

• AI-assisted editing — Connect the MCP server to opencode or Claude Code and have your agent propose edits with full change tracking — no more "just trust me, I made some changes."

• Batch processing — Script document updates across hundreds of files using the Python API, with every change recorded in Word's revision log.

Installation

pip install revisedoc          # with pip
pipx install revisedoc          # with pipx (isolated)

For AI agent integration (opencode, Claude Code):

pip install "revisedoc[mcp]"     # pip — quotes required in zsh
pipx install "revisedoc[mcp]"    # pipx — quotes required in zsh

[mcp] is an optional extra — it installs the same revisedoc package plus the mcp SDK dependency. Without it, the CLI and Python API work fine; only the revisedoc-mcp server is unavailable.

Note for zsh users: the square brackets must be quoted. Use pip install "revisedoc[mcp]" not pip install revisedoc[mcp].

CLI Usage

# Replace text with tracked changes
revisedoc replace input.docx output.docx "old text" "new text" --author "Me"

# Add a comment
revisedoc comment input.docx output.docx "target text" "my comment" --author "Reviewer"

# List tracked changes
revisedoc list-revisions input.docx
revisedoc list-revisions input.docx --format json

# Undo a revision (restore deleted text)
revisedoc restore input.docx output.docx --revision-id 3

# Undo an insertion instead
revisedoc restore input.docx output.docx --revision-id 3 --restore-type insertion

# Print document plain text
revisedoc get-text input.docx

Python API

from docx import Document
from revisedoc import replace_text, add_comment, list_revisions, restore_revision, get_full_text, finalize_comments

doc = Document("input.docx")
replace_text(doc, "old phrase", "new phrase", author="MyBot")
add_comment(doc, "some specific text", "Review this part", author="Reviewer")
pending = doc.part._pending_comments
doc.save("output.docx")
finalize_comments("output.docx", pending_comments=pending)

MCP Server — AI Agent Integration

Start the MCP server:

revisedoc-mcp

opencode

Add to opencode.json:

{
  "mcp": {
    "revisedoc": {
      "type": "local",
      "command": ["revisedoc-mcp"],
      "enabled": true
    }
  }
}

Claude Code

Add to .claude/settings.json:

{
  "mcpServers": {
    "revisedoc": {
      "command": "revisedoc-mcp"
    }
  }
}

Available Tools

Development

pip install -e ".[mcp,test]"
pytest tests/ -v

Architecture

The package structure:

src/revisedoc/
├── __init__.py     # Public API exports
├── editor.py       # Core editing operations
├── cli.py          # Command-line interface
└── mcp.py          # MCP server for AI agents