Skip to main content
Glama

word-engine-mcp

한국어 안내 → README.ko.md

A local MCP server that drives the real Word desktop application (COM automation) to do the things python-docx fundamentally cannot: compute field/TOC values, count real pages, render true-fidelity PDF, convert/repair legacy formats, produce redline comparisons, and run native mail merge.

Design philosophy: this server complements library workflows instead of replacing them. Editing text, tables and styles is faster with python-docx — but a document built with python-docx has ? where TOC page numbers should be, and no library has a concept of "pages" (that requires a layout engine). This MCP handles only the engine-exclusive part, keeping its tool surface tiny (8 tools).

Requirements

  • Windows 10+ with a logged-in interactive desktop session (Word has no true headless mode)

  • Microsoft Office (Word) installed and licensed — verified on Office 2016+ (Word 16.0)

  • Python 3.10+ — verified on 3.12

  • Claude Code or any MCP client

Related MCP server: mcp-word-processor

Install

git clone https://github.com/Feynman520/d01-p04-word-engine-mcp.git
cd d01-p04-word-engine-mcp
py -3.12 -m venv .venv          # or: python -m venv .venv
.\.venv\Scripts\python.exe -m pip install -r requirements.txt

Register with Claude Code

Run this in the cloned folder (uses absolute paths, so it works from anywhere afterwards):

claude mcp add word-automation --scope user -- "$PWD\.venv\Scripts\python.exe" "$PWD\server.py"

--scope user makes it available in every project. Use --scope project to limit it to one project.

Verify

$py = ".\.venv\Scripts\python.exe"; $env:PYTHONUTF8 = "1"
& $py tests\smoke_com.py      # field update / page stats / PDF / convert / compare / mail merge
& $py tests\server_tools.py   # MCP tool registration (does not launch Word)

Tools (6 core + 2 diagnostics)

#

Tool

Input → Output

Why engine-only

word_update_fields

src_path, out_path{out_path,fields_updated}

Computes displayed values of TOC, cross-references, PAGE/SEQ, index (python-docx stores field codes only — shown as ?)

word_read_layout

path, update_fields?, include_readability?{pages,words,lines,characters,...}

Real page count and layout statistics (libraries have no page concept)

word_export_pdf

src_path, out_path, update_fields?, pdf_a?, from_page?, to_page?, create_bookmarks?{out_path}

Word render engine PDF (PDF/A, heading bookmarks, page ranges)

word_convert

src_path, out_path, repair?{out_path,format,repaired}

.doc/.rtf/.odt/.html/.txt.docx conversion and corrupt-file repair (python-docx is .docx-only)

word_compare

original_path, revised_path, out_path, author?, granularity?{out_path,revisions}

Native CompareDocuments redline (no library equivalent)

word_mail_merge

template_path, data_path, out_path{out_path,records}

Native mail merge (per-record documents)

word_health

{alive, word_version}

Session check (launches Word on first call)

word_restart

{alive}

Recovery from COM errors

Typical flow: build a .docx with python-docx → word_update_fields to bake TOC/numbers → word_read_layout to check the real page count → word_export_pdf for the final PDF. Originals are never modified; results are always written to out_path.

Mail merge data source

The most reliable source is a .docx containing a table with one header row + data rows (no database driver involved, fully unattended). .csv/.xlsx are also accepted, but some environments show Word's SQL confirmation prompt (depends on an HKCU setting).

Architecture notes

  • Single STA worker thread (engine/session.py): every Word call is serialized onto one dedicated thread (win32com COM objects are thread-bound; FastMCP may hop threads).

  • Lazy session: Word starts on the first tool call, is reused, and closes with the server.

  • DispatchEx + early binding (gencache.EnsureDispatch): a dedicated instance, and argument-heavy methods like ExportAsFixedFormat/CompareDocuments are marshalled correctly via the type library. The one-time makepy output is redirected away from stdout (the JSON-RPC channel).

  • Visible=False, macros blocked on open via AutomationSecurity=ForceDisable.

  • Originals preserved: inputs open read-only, results are written to new paths, then Close(SaveChanges=False).

  • Zombie prevention: Word gives no stable window handle, so the dedicated instance PID is identified by diffing the WINWORD.EXE process list before/after DispatchEx, and force-killed at shutdown if it survives Quit().

  • RPC-rejection retry: RPC_E_CALL_REJECTED right after startup is retried with backoff.

Limitations

  • Not suitable for unattended/service sessions (needs an interactive desktop).

  • Text/table/style editing is faster with python-docx — that is by design.

License

MIT

A
license - permissive license
-
quality - not tested
C
maintenance

Maintenance

Maintainers
Response time
Release cycle
Releases (12mo)
Commit activity

Resources

Unclaimed servers have limited discoverability.

Looking for Admin?

If you are the server author, to access and configure the admin panel.

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/Feynman520/d01-p04-word-engine-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server