Docx Document Processing Service

Docx Document Processing Service
Featured

A powerful Word document processing service based on FastMCP, enabling AI assistants to create, edit, and manage docx files with full formatting support. Preserves original styles when editing content.

MeterLong

Digital Note Management
Programming Docs Access
Content Fetching
Visit Server

README

Docx MCP Service

English | 中文

smithery badge

A Docx document processing service based on the FastMCP library, supporting the creation, editing, and management of Word documents using AI assistants in Cursor.

Features

  • Complete Document Operations: Support for creating, opening, saving documents, as well as adding, editing, and deleting content
  • Formatting: Support for setting fonts, colors, sizes, alignment, and other formatting options
  • Table Processing: Support for creating, editing, merging, and splitting table cells
  • Image Insertion: Support for inserting images and setting their sizes
  • Layout Control: Support for setting page margins, adding page breaks, and other layout elements
  • Query Functions: Support for retrieving document information, paragraph content, and table data
  • Convenient Editing: Support for find and replace functionality
  • Section Editing: Support for replacing content in specific sections while preserving original formatting and styles

Installation Dependencies

Ensure Python 3.10+ is installed, then install the following dependencies:

pip3 install python-docx mcp

Usage

Using as an MCP Service in Cursor

  1. Open Cursor and go to Settings
  2. Find the Features > MCP Servers section
  3. Click Add new MCP server
  4. Fill in the following information:
    • Name: MCP_DOCX
    • Type: Command
    • Command: python3 /path/to/MCP_dox/server.py (replace with the actual path to your server.py)
  5. Click Add to add the service

After adding, you can use natural language to operate Word documents in Cursor's AI assistant, for example:

  • "Create a new Word document and save it to the desktop"
  • "Add a level 3 heading"
  • "Insert a 3x4 table and fill it with data"
  • "Set the second paragraph to bold and center-aligned"

Supported Operations

The service supports the following operations:

  • Document Management: create_document, open_document, save_document
  • Content Addition: add_paragraph, add_heading, add_table, add_picture
  • Content Editing: edit_paragraph, delete_paragraph, delete_text
  • Table Operations: add_table_row, delete_table_row, edit_table_cell, merge_table_cells, split_table
  • Layout Control: add_page_break, set_page_margins
  • Query Functions: get_document_info, get_paragraphs, get_tables, search_text
  • File Operations: create_document, open_document, save_document, save_as_document, create_document_copy
  • Section Editing: replace_section, edit_section_by_keyword
  • Other Functions: find_and_replace, search_and_replace (with preview functionality)

How It Works

  1. The service uses the Python-docx library to process Word documents
  2. It implements the MCP protocol through the FastMCP library to communicate with AI assistants
  3. It processes requests and returns formatted responses
  4. It supports complete error handling and status reporting

Typography Capabilities

The service has good typography understanding capabilities:

  • Text Hierarchy: Support for heading levels (1-9) and paragraph organization
  • Page Layout: Support for page margin settings
  • Visual Elements: Support for font styles (bold, italic, underline, color) and alignment
  • Table Layout: Support for creating tables, merging cells, splitting tables, and setting table formats
  • Pagination Control: Support for adding page breaks

Development Notes

  • server.py - Core implementation of the MCP service using the FastMCP library

Troubleshooting

If you encounter problems in Cursor, try the following steps:

  1. Ensure Python 3.10+ is correctly installed
  2. Ensure the python-docx and mcp libraries are correctly installed
  3. Check if the server path is correct
  4. Restart the Cursor application

Notes

  • Ensure the python-docx and mcp libraries are correctly installed
  • Ensure Chinese characters in paths can be correctly processed
  • Using absolute paths can avoid path parsing issues

License

MIT License

Recommended Servers

E2B

E2B

Using MCP to run code via e2b.

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
Mult Fetch MCP Server

Mult Fetch MCP Server

A versatile MCP-compliant web content fetching tool that supports multiple modes (browser/node), formats (HTML/JSON/Markdown/Text), and intelligent proxy detection, with bilingual interface (English/Chinese).

Featured
Local
Persistent Knowledge Graph

Persistent Knowledge Graph

An implementation of persistent memory for Claude using a local knowledge graph, allowing the AI to remember information about users across conversations with customizable storage location.

Featured
Local
Hyperbrowser MCP Server

Hyperbrowser MCP Server

Welcome to Hyperbrowser, the Internet for AI. Hyperbrowser is the next-generation platform empowering AI agents and enabling effortless, scalable browser automation. Built specifically for AI developers, it eliminates the headaches of local infrastructure and performance bottlenecks, allowing you to

Featured
Local
Exa MCP

Exa MCP

A Model Context Protocol server that enables AI assistants like Claude to perform real-time web searches using the Exa AI Search API in a safe and controlled manner.

Featured
Perplexity Chat MCP Server

Perplexity Chat MCP Server

MCP Server for the Perplexity API.

Featured
Web Research Server

Web Research Server

A Model Context Protocol server that enables Claude to perform web research by integrating Google search, extracting webpage content, and capturing screenshots.

Featured
Youtube Translate

Youtube Translate

A Model Context Protocol server that enables access to YouTube video content through transcripts, translations, summaries, and subtitle generation in various languages.

Featured
PubMedSearch

PubMedSearch

A Model Content Protocol server that provides tools to search and retrieve academic papers from PubMed database.

Featured