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.

The Stability AI MCP Server is an MCP server that integrates the image processing functions of Stability AI, supporting various image operations such as generation, editing, and enlargement.

Trellis MCP is an interface service that connects AI assistants with Trellis 3D generation models, supporting rapid generation of 3D assets through natural language and importing them into Blender. This project is based on an open - source model and requires self - deployment of the API backend. It is fast and free, but there are stability risks.

This is an MCP server project that integrates Stability AI's image generation and editing functions. It实现 high - quality image generation, background removal, extended painting, object replacement, image enlargement and other functions through the API, and supports seamless docking with MCP clients such as Claude.