docs-mcp

docs-mcp

MCP server for reading and writing .docx files. Exposes four paginated tools so agents can batch-read document content and styles, write content, and union style definitions.

Category
Visit Server

README

docs-mcp

MCP server for reading and writing .docx files. Exposes four paginated tools so agents can batch-read document content and styles, write content, and union style definitions — without a monolithic reformat tool.

Requirements: Python 3.11+

Features

Tool Purpose
get_contents_from_docx Batch-read content blocks (paragraphs and tables)
write_contents_to_docx Write content blocks; creates file if missing
get_styles_from_docx Batch-read paragraph style catalog
write_styles_to_docx Union style definitions onto an existing file (incoming wins on conflict)

Primary use case: reformat a draft document using a template's styles — the agent orchestrates four tool calls with pagination.

Architecture

Layered design: MCP tools delegate to services, services use adapters, adapters translate to/from domain models.

flowchart TB
  subgraph mcpLayer [MCP Layer]
    Server[FastMCP Server]
    Tools["4 Tools: get/write contents & styles"]
  end

  subgraph serviceLayer [Service Layer]
    ReadSvc[ReadService]
    WriteSvc[WriteService]
  end

  subgraph adapterLayer [Adapter Layer]
    DocxAdapter[DocxAdapter]
    ContentWriter[ContentWriter]
    StyleMigrator[StyleMigrator]
    ContentExtractor[ContentExtractor]
    StyleExtractor[StyleExtractor]
  end

  subgraph domainLayer [Domain Layer]
    DocModel[DocumentModel]
    StyleProfile[StyleProfile]
    BlockModel[ParagraphBlock / TableBlock]
  end

  Agent[Cursor Agent] -->|batch tool calls| Server
  Server --> Tools
  Tools --> ReadSvc
  Tools --> WriteSvc
  ReadSvc --> DocxAdapter
  WriteSvc --> DocxAdapter
  DocxAdapter --> ContentExtractor
  DocxAdapter --> StyleExtractor
  DocxAdapter --> ContentWriter
  DocxAdapter --> StyleMigrator
  ReadSvc --> domainLayer
  WriteSvc --> domainLayer

Layer rules

Layer Package May import from Must not import
MCP server.py services/, errors adapters/, docx
Service services/ adapters/, domain/, errors docx, mcp
Adapter adapters/ domain/, errors, docx services/, mcp
Domain domain/ stdlib only everything else

Dependency direction is always downward: MCP → Service → Adapter → Domain.

See AGENTS.md for contributor guidelines.

Tech stack

Quick start

1. Clone and install

git clone <repo-url> docs-mcp
cd docs-mcp
uv sync --extra dev

2. Run tests

uv run pytest

3. Smoke test the MCP server

uv run docx-mcp

The process listens on stdio (JSON-RPC). Press Ctrl+C to stop.

4. Add to Cursor

Replace /absolute/path/to/docs-mcp with your clone path. Cursor MCP config requires absolute paths.

Native (uv):

{
  "mcpServers": {
    "docs-mcp": {
      "command": "uv",
      "args": [
        "run",
        "--directory",
        "/absolute/path/to/docs-mcp",
        "docx-mcp"
      ]
    }
  }
}

Docker (ephemeral session):

Build once from the repo root (no file paths in the image or build command):

cd docs-mcp
docker build -t docs-mcp .

MCP config — only how to start the server process. Which files to read/write is not configured here; every tool receives file_path from the MCP client (agent/user) at call time:

{
  "mcpServers": {
    "docs-mcp": {
      "command": "docker",
      "args": ["run", "--rm", "-i", "docs-mcp"]
    }
  }
}

File paths in tool calls

Runtime file_path in tools
Native (uv) Host path as passed by the agent, e.g. /home/user/docs/report.docx
Docker Path inside the container filesystem

With Docker, the default config above has no bind mounts — tool paths must exist inside the container unless you extend args. To read/write host files, add a volume mount that matches the paths you pass in tools, for example:

"args": ["run", "--rm", "-i", "-v", "/home/user/docs:/home/user/docs", "docs-mcp"]

Then the agent calls get_contents_from_docx(file_path="/home/user/docs/report.docx") — same path string on host and in the container.

One container runs for the entire MCP session (not per tool call). The host spawns the process on connect and tears it down on disconnect; --rm removes the container automatically.

Tools reference

All tools return JSON-serializable dicts. On failure, the response contains structured error fields instead of raising an unhandled exception:

{
  "code": "FILE_NOT_FOUND",
  "message": "File not found: /path/missing.docx",
  "details": { "path": "/path/missing.docx" }
}

Error codes: FILE_NOT_FOUND, FILE_NOT_READABLE, FILE_NOT_WRITABLE, INVALID_PATH, PARSE_ERROR, STYLE_NOT_FOUND, REFORMAT_ERROR, INTERNAL_ERROR.


get_contents_from_docx

Return a paginated batch of document content blocks.

Parameter Type Default Description
file_path str required Path to .docx file
offset int 0 Start index in block list
limit int 10 Max blocks per batch (max 200)

Example response:

{
  "items": [
    {
      "block_type": "paragraph",
      "runs": [
        {
          "text": "ЛАБОРАТОРНАЯ РАБОТА №3 (Java)",
          "bold": null,
          "italic": null,
          "font_name": null,
          "font_size_pt": null
        }
      ],
      "style": {
        "name": "Heading 1",
        "style_type": "paragraph"
      }
    }
  ],
  "total": 48,
  "offset": 0,
  "limit": 10,
  "has_more": true,
  "source_path": "/path/plain.docx"
}

Blocks carry a style name reference (StyleHint), not full style definitions. See .agents/skills/docx-mcp/references/blocks for the full schema.


get_styles_from_docx

Return a paginated batch of paragraph styles from a .docx file.

Parameter Type Default Description
file_path str required Path to .docx file
offset int 0 Start index in style list
limit int 25 Max styles per batch (max 200)

Example response (first batch, offset=0):

{
  "paragraph_styles": [
    {
      "name": "Heading 1",
      "base_style": "Normal",
      "font_name": null,
      "font_size_pt": null,
      "font_color": "000000",
      "bold": null,
      "italic": null,
      "alignment": null,
      "line_spacing": 1.0,
      "space_before_pt": 18.0,
      "space_after_pt": 12.0,
      "left_indent_cm": null,
      "right_indent_cm": null,
      "first_line_indent_cm": null
    }
  ],
  "section": {
    "page_width_cm": 21.0,
    "page_height_cm": 29.7,
    "left_margin_cm": 2.5,
    "right_margin_cm": 1.0,
    "top_margin_cm": 1.5,
    "bottom_margin_cm": 1.5
  },
  "total": 33,
  "offset": 0,
  "limit": 25,
  "has_more": true,
  "source_path": "/path/format.docx"
}

section is included only when offset == 0; later batches omit it. Merge paragraph_styles client-side across batches.


write_contents_to_docx

Write content blocks to a .docx file. Creates a new file if the path does not exist; replaces the document body if it exists.

Parameter Type Default Description
file_path str required Output path
contents list[dict] required Content blocks from get_contents_from_docx

Example response:

{
  "file_path": "/path/output.docx",
  "blocks_written": 48,
  "created": true
}

write_styles_to_docx

Union style definitions onto an existing .docx file. Incoming styles win on name conflict.

Parameter Type Default Description
file_path str required Target file (must exist)
styles dict required { "paragraph_styles": [...], "section": {...} }

Example response:

{
  "file_path": "/path/output.docx",
  "styles_added": 5,
  "styles_updated": 12,
  "styles_unchanged": 8
}

Returns FILE_NOT_FOUND if the target file does not exist — call write_contents_to_docx first.

User story: Reformat by template

Prompt example:

Reformat report_draft.docx to match company_template.docx. Save as report_final.docx.

Agent workflow:

report_draft.docx                    company_template.docx
        │                                      │
        ├─ get_contents_from_docx (batches)    ├─ get_styles_from_docx (batches)
        │                                      │
        └──────────────────┬───────────────────┘
                           ▼
              write_contents_to_docx(report_final.docx)   ← creates file
                           ▼
              write_styles_to_docx(report_final.docx)     ← union; template wins
                           ▼
                    formatted output

Step-by-step

  1. Read content — paginate get_contents_from_docx(draft, offset, limit) until has_more is false. Collect all items.

  2. Read styles — paginate get_styles_from_docx(template, offset, limit) until has_more is false. Merge all paragraph_styles; keep section from the first batch (offset=0).

  3. Write contentwrite_contents_to_docx(output, contents) with the collected blocks.

  4. Union styleswrite_styles_to_docx(output, styles) with the merged style profile.

Pagination pattern

# Contents
items = []
offset = 0
while True:
    batch = get_contents_from_docx(path, offset=offset, limit=50)
    items.extend(batch["items"])
    if not batch["has_more"]:
        break
    offset += batch["limit"]

# Styles
paragraph_styles = []
section = None
offset = 0
while True:
    batch = get_styles_from_docx(path, offset=offset, limit=50)
    if offset == 0:
        section = batch.get("section")
    paragraph_styles.extend(batch["paragraph_styles"])
    if not batch["has_more"]:
        break
    offset += batch["limit"]
styles = {"paragraph_styles": paragraph_styles, "section": section}

Tool order

Order Tool File must exist
1 get_contents_from_docx Yes (source)
2 get_styles_from_docx Yes (template)
3 write_contents_to_docx No — creates output
4 write_styles_to_docx Yes — output from step 3

Style union rules

Applied by write_styles_to_docx via StyleProfile.union_with(incoming, master="other"):

Case Result
Style only in incoming (template) Added to target
Style only in existing file Kept
Same name, different definition Incoming wins — overwrites target
Section setup in incoming Applied from incoming profile

Styles with null field values inherit from base_style at write time (StyleProfile.resolve_inherited()). For the run-level overrides bold, italic, and font_color, a resolved null is an explicit reset: the corresponding override is cleared in the target style so draft theme artifacts (e.g. blue, bold headings) do not survive a reformat.

StyleMapper (adapter helper)

When mapping source style names to a template catalog (used internally during reformat):

  1. Exact name match in template styles
  2. Entry in optional custom_map
  3. Nearest heading fallback (Heading NHeading min(N, available))
  4. Fallback to Normal, or first available template style

Unmapped styles are tracked in unmapped_styles.

Known limitations (v1)

Not supported in the current release:

  • Headers and footers (content)
  • Floating images
  • Text boxes
  • Footnotes and endnotes
  • Numbering restart / list numbering preservation
  • Run-level formatting when a named paragraph style exists (deferred — styles applied in step 4 override inline hints)
  • Paragraph-level direct formatting (e.g. a centered title set on the paragraph, not in the style) — not carried by content blocks; ParagraphAligner covers only the title/conclusions heuristic used in the reformat tests
  • Document parse caching — each batch call re-reads the file from disk

Development

uv sync --extra dev
uv run pytest
uv run docx-mcp

Project layout

docs-mcp/
├── README.md
├── AGENTS.md
├── Dockerfile
├── pyproject.toml
├── src/docx_mcp/
│   ├── server.py          # MCP tools (thin handlers)
│   ├── errors.py
│   ├── domain/            # DocumentModel, StyleProfile, blocks
│   ├── adapters/          # python-docx isolation
│   └── services/          # ReadService, WriteService
├── tests/
│   └── assets/            # plain.docx, format.docx fixtures
└── .agents/skills/docx-mcp/  # Agent skill for MCP workflow

Test fixtures for manual exploration:

  • tests/assets/plain.docx — sample content (draft)
  • tests/assets/format.docx — sample styles (template)

End-to-end pipeline test: tests/test_reformat_pipeline.py.

Roadmap

Subplan Topic
SP-08 Agent prompt examples and Cursor onboarding
SP-09 Document parse caching across batch calls
SP-10 Run-level formatting when named style exists
SP-11 Headers/footers extraction and write
SP-12 Images, text boxes, footnotes, numbering
SP-13 HTTP / streamable-http transport

License

See repository license file.

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured