About docx4j Word documents
docx4j Word documents exposes docx4j document processing to MCP clients for agent workflows that read, convert, or fill Word files. It supports Markdown, HTML, and PDF conversion, including TeX mathematics.
Key features
- 01Extract text from DOCX
- 02Fill templates while preserving formatting
- 03Convert between Markdown and DOCX
- 04Convert between HTML and DOCX
- 05Convert to PDF with equation rendering
Use cases
- 01Generate contracts from templates
- 02Convert a Markdown report to DOCX
- 03Convert a Word document to PDF
MCP support
The MCP server exposes docx4j tools for reading documents, filling templates, and converting formats. File access is restricted to roots specified at startup.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEdocx4j-mcp
A Model Context Protocol server that exposes docx4j's engine to AI agents: read, convert and fill Word (.docx) documents from Claude Desktop, Claude Code, or any MCP client.
Engine: docx4j 17.1.0 (the server versions independently; the bundled docx4j version is in the pom, the server's startup log, and its MCP instructions).
MCP protocol: 2025-11-25 (Java SDK 2.0.1, the newest available). Clients
speaking the 2026-07-28 spec work if they implement its dual-era fallback: the
server/discover probe gets a clean JSON-RPC -32601 and the client falls
back to initialize (verified over stdio). A modern-only client with no
fallback cannot connect until the SDK's 2026-07-28 support (milestone 2.2)
ships, at which point this server will migrate.
Status: phase 3 — all tools work over stdio against released docx4j 17.0.4;
packaged as a runnable jar, an .mcpb bundle, an OCI image and a Claude Code
plugin. The plan, tool surface and phasing are in CR-mcp-server.md.
Build
Requires JDK 17+. All docx4j dependencies (docx4j 17.1.0, ImportXHTML 17.0.4) come from Maven Central.
mvn package # -> target/docx4j-mcp.jar (shaded, runnable)
mvn test # JUnit 5 tests against the tool handlers directly
Run
java -jar target/docx4j-mcp.jar --root /path/to/documents [--root ...] [--max-inline-chars N]
Bare directory arguments are also accepted as roots (this is what the .mcpb
bundle's folder picker passes).
Claude Desktop, one click
Install docx4j-mcp.mcpb from the GitHub release (Settings → Extensions), pick
the folders the server may touch, done. Built locally with
packaging/build-mcpb.sh. Requires Java 17+ on your PATH.
Docker
docker run -i --rm -v /path/to/documents:/data ghcr.io/plutext/docx4j-mcp
(paths in tool calls are then container paths under /data;
packaging/docker/Dockerfile to build locally).
Claude Code plugin
packaging/claude-plugin/ bundles the server config and a skill for the
template/authoring workflows. Set DOCX4J_MCP_JAR (path to the jar) and
optionally DOCX4J_MCP_ROOTS.
Releasing
Tag vX.Y.Z: .github/workflows/release.yml builds jar + mcpb, attaches them
to the GitHub release, pushes ghcr.io/plutext/docx4j-mcp, and publishes
server.json (sha filled in) to the official MCP registry via GitHub OIDC.
Every file path an agent passes must resolve inside one of the --root
directories (symlinks are resolved first). There is no default root; the server
refuses to start without one. Logging goes to stderr; stdout is the protocol.
Tools that return text inline cap it at --max-inline-chars (default 200000) and
otherwise write to output_path or truncate with a marker.
Claude Code (.mcp.json in your project)
{
"mcpServers": {
"docx4j": {
"command": "java",
"args": ["-jar", "/path/to/docx4j-mcp.jar", "--root", "/path/to/documents"]
}
}
}
Claude Desktop (claude_desktop_config.json)
{
"mcpServers": {
"docx4j": {
"command": "java",
"args": ["-jar", "/path/to/docx4j-mcp.jar", "--root", "/Users/you/Documents"]
}
}
}
Tools
| Tool | What it does |
|---|---|
describe_template | What data a template wants: skeleton XML + xpaths/conditions (OpenDoPE, bound content controls) or MERGEFIELD names and format switches (mail merge). Call before fill_template. |
fill_template | Fill a template, preserving its formatting. data is an XML string (OpenDoPE / bound controls; repeats and conditions processed) or a JSON object (mail merge). |
convert_to_pdf | docx → PDF via XSL-FO / Apache FOP; equations and WMF/EMF drawings rendered as vectors; optional update_toc; reports font substitutions. Bundles metric-compatible fonts (Carlito, Caladea, Liberation, Tinos…). |
markdown_to_docx | Markdown → properly styled docx (headings, numbering, GFM tables, footnotes, task lists, TeX math). Optional styles_template_path. |
docx_to_markdown | docx → Markdown (structure preserved). Options: tracked_changes accept/markup, image_dir_path. |
html_to_docx | HTML → docx via docx4j-ImportXHTML. Loose HTML accepted (normalised with jsoup); h1–h6 map to heading styles; optional styles_template_path; mode: altchunk embeds the HTML for Word to convert on open. Remote images/stylesheets are never fetched. |
convert_to_html | docx → standalone HTML (visitor exporter; image_dir_path for images; optional update_toc). |
extract_text | Plain text, one line per paragraph/table. |
Mathematics is supported end to end: TeX math in Markdown
($..$) and MathML in HTML become real, editable Word equations (OMML), and
equations render in PDF (via jeuclid/FOP, no LaTeX toolchain) and HTML (native
MathML, no JavaScript) output. Known limitation: a very long single display
equation is one atomic graphic in PDF and does not line-wrap.
Writers take output_path and refuse to overwrite unless overwrite: true.
Example (Claude Code)
Use describe_template on contracts/nda-template.docx, then fill it for Acme Pty Ltd and write contracts/nda-acme.docx, then convert that to PDF.
The agent gets the skeleton XML (or MERGEFIELD names), fills it, and calls
fill_template and convert_to_pdf; the results tell it what was written and which
fonts were substituted.
Licence
Apache License 2.0.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.