MCPEngine is a production-grade implementation of the Model Context Protocol (MCP), providing standardized interfaces for large language models (LLMs). It supports functions such as OAuth authentication, resource management, and tool invocation, aiming to become the 'REST of the LLM world' framework.

The ShotGrid MCP Rust client provides a complete implementation of the ShotGrid/Flow Production Tracking REST API and integrates the Model Context Protocol server, enabling large - language models to directly interact with ShotGrid.

An AI-driven MCP server for chart and prototype drawing, integrating multiple large language models and supporting the intelligent generation of draw.io format charts and HTML interactive product prototypes in multiple styles based on natural language descriptions.

A tool project designed for Amazon operations, which reads and analyzes Amazon product data through large models and supports functions for obtaining product information and reviews.