Docxtpl
Generates and parses Word, PDF, and Excel documents from templates using the docxtpl library, compatible with the Model Context Protocol for AI model interaction.
About
Docxtpl is a powerful server built on the Model Context Protocol (MCP), enabling dynamic generation of Word documents leveraging the Python docxtpl library and Jinja2 templating engine. It supports advanced features like conditional rendering, loops, and custom filters, providing a robust solution for creating invoices, reports, contracts, and letters. Beyond generation, it offers comprehensive document parsing capabilities for DOCX, PDF, and Excel files, allowing extraction of text, tables, and structured content. Designed for easy integration with AI clients like Claude Desktop, Docxtpl streamlines document automation and content management workflows.
Key Features
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- Dynamic content generation for conditional rendering and loops
- Powerful template engine with full Jinja2 syntax support
- Model Context Protocol (MCP) compatibility for AI model interaction
- Rich collection of built-in templates (invoices, reports, contracts, letters)
- Document parsing for DOCX, PDF, and Excel to extract structured content
Use Cases
- Integrating with AI clients (e.g., Claude Desktop) to provide document generation and parsing capabilities as a service.
- Automating the creation of professional business documents like invoices, reports, and contracts through AI prompts.
- Extracting structured data including text and tables from DOCX, PDF, and Excel files for analysis or further processing.
