This project is a Python server based on the MCP protocol, providing functions for querying and calculating soil and water conservation technical specifications, including engineering calculations such as Manning's coefficient, earth pressure coefficient, drainage ditch flow velocity, and slope stability, as well as the conversion between latitude and longitude and UTM/TWD97 coordinates in Taiwan region. It is suitable for AI application integration.

WaterCrawl MCP is a model context protocol server provided for the WaterCrawl platform, which provides web crawling, content scraping, and search functions for AI systems through a standardized interface.

The Nutrient DWS MCP Server is a model context protocol server integrated with the Nutrient Document Web Service processor API, providing powerful PDF processing functions for AI assistants, including digital signatures, document generation, editing, OCR, watermarking, redaction, and other operations.

An MCP server for image generation and editing based on Google Gemini AI, supporting multiple aspect ratios, watermark overlay, and context image guidance, specially optimized for social media images.

The Douyin and Xiaohongshu Content Extraction MCP Server supports extracting video, image, and text content from Douyin and Xiaohongshu sharing links, providing functions such as watermark-free video acquisition, AI speech recognition, and text extraction.