Retrieval-Augmented Thinking MCP Server

Model Context Protocol server enabling Claude Desktop to access Google's Gemini-2.0-flash-thinking model for advanced mathematical reasoning, logical deduction, and step-by-step analytical problem solving with fast, high-quality responses.

Provides dynamic, reflective problem-solving through structured, step-by-step thinking processes that enable breaking down complex issues, revising thoughts, branching reasoning paths, and generating verified solution hypotheses within the Model Context Protocol framework.

Retrieval-Augmented Generation (RAG) server enabling efficient extraction of contextual information from AWS Knowledge Bases with customizable results, supporting IAM and AWS SSO credentials for seamless integration within Model Context Protocol workflows.

Implements an efficient Model Context Protocol solution enabling large language models to generate minimalistic, accurate intermediate reasoning steps with reduced token usage, faster response times, adaptive complexity control, performance analytics, and seamless OpenAI API integration for diverse reasoning tasks.

TypeScript-based Model Context Protocol server enabling bold, unconventional problem-solving by generating, branching, and organizing unreasonable thoughts to challenge conventional wisdom and explore diverse solution pathways.