RAT (Retrieval Augmented Thinking)

This RAT (Retrieval Augmented Thinking) MCP server, developed by Skirano, implements a two-stage reasoning process combining DeepSeek's analysis capabilities with various response models. Built with TypeScript and leveraging the Model Context Protocol SDK, it offers flexible model selection, persistent conversation context, and customizable reasoning visibility. The implementation focuses on enhancing AI responses through structured reasoning, with features like context management and multi-model support. It's particularly useful for developers and researchers working on improving AI conversation quality, enabling use cases such as more thoughtful chatbots, enhanced question-answering systems, and AI-assisted analysis tasks without directly dealing with individual API complexities.