Word MCP Server

Name: Word MCP Server
Author: cuongpham2107

@cuongpham2107

代码仓库

关于 Word MCP Server

暂无概览

#word-mcp-server #python #document-automation

基本信息

分类

其他

运行时

python

传输方式

stdio

发布者

cuongpham2107

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "word-mcp-server": {
      "command": "uv",
      "args": [
        "venv"
      ]
    }
  }
}

工具

未检测到工具

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Word MCP Server?

Word MCP Server is a Python application that creates and edits Microsoft Word (.docx) documents through an API. It uses FastMCP to expose tools for interacting with Word documents, primarily for integration with large language models (LLMs).

How to use Word MCP Server?

Install dependencies with uv pip install . in a Python 3.12+ virtual environment. Configure the server by editing a JSON file with the Python interpreter path and server script path, then launch it through an LLM client. The server exposes functions such as create_new_document(), add_heading(), add_paragraph(), add_run_to_paragraph(), add_picture(), add_table(), and save_document().

Key features of Word MCP Server

Create and open Word documents (.docx)
Add and format text with headings, paragraphs, and runs
Insert images from file paths or numpy arrays
Create tables with custom styles
Manage resources and prompts stored in directories
Integrate with LLMs via the MCP protocol

Use cases of Word MCP Server

Automatically generate formatted reports from LLM conversations
Create Word documents programmatically with structured content
Edit existing documents by adding images, tables, and styled text
Build document templates populated by AI prompts

FAQ from Word MCP Server

What does Word MCP Server do?

It provides tools for creating, editing, and formatting Microsoft Word documents (.docx) programmatically, with commands that can be triggered by large language models through the MCP protocol.

What are the dependencies and runtime requirements?

Python 3.12 or higher is required. Libraries include python-docx, opencv-python (cv2), numpy, and FastMCP. All dependencies are installed via uv pip install ..

How do I configure Word MCP Server with an LLM?

You create a JSON configuration specifying the Python interpreter path and the server script path under mcpServers.word-mcp-server. Once launched, the LLM can call the server's tools using natural language.

What image formats and colors are supported?

Images can be added from file paths or numpy arrays. For text formatting, supported color values include black, blue, green, red, yellow, pink, teal, violet, gray25, gray50, and several dark variants. Highlight values are similar.

Where does data live and what are the limits?

Documents, resources, and prompts are stored locally in files and directories (resources/ and prompts/). The server only works with .docx files; no authentication or remote storage is mentioned.