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.
Word MCP Server
@cuongpham2107
基本情報
Word MCP Server について
概要はまだありません
Word MCP Server の設定
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"word-mcp-server": {
"command": "uv",
"args": [
"venv"
]
}
}
}Word MCP Server のツール
ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
概要
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
よくある質問
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.
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