HWPX

About

The HWPX tool functions as a Model Context Protocol (MCP) STDIO server, enabling programmatic creation, editing, and management of HWPX documents. Leveraging the `python-hwpx` library, it offers core functionalities such as document creation, opening, saving, and metadata retrieval. Designed for secure local workspace interaction, it includes features like path validation, automatic backup file generation, and dedicated resources for file inventory and content previews. It supports streamlined one-line installation and client registration through Smithery, making it easy to integrate with AI platforms like Claude Desktop and Gemini CLI across Windows, macOS, and Linux environments.

Key Features

• Create, open, save, and retrieve metadata for HWPX documents.
• Insert paragraphs, tables, and images into documents with basic preview support.
• Perform workspace path validation and automatic `.bak` backup file generation.
• Access `hwpx:list` and `hwpx:preview(path)` resources for file inventory and content previews.
• Enable one-line installation and client registration via Smithery CLI for AI integration.
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Use Cases

• Automating the generation and modification of HWPX documents.
• Integrating HWPX document processing capabilities into AI agent workflows (e.g., Claude, Gemini).
• Programmatically managing and querying metadata for HWPX files within a local workspace.