MCP Reasoner

Advanced reasoning implementation for Claude Desktop using Beam Search and Monte Carlo Tree Search with experimental policy simulation layers, enabling complex problem-solving and detailed analysis of reasoning paths under the Model Context Protocol.

Provides advanced Model Context Protocol reasoning capabilities including Monte Carlo Tree Search, Beam Search, Transformer-based analysis, and hybrid methods for enhanced multi-step problem-solving in AI applications.

Collection of MCP (Model Context Protocol) servers offering advanced capabilities including web search, YouTube video summarization, GitHub repository analysis, logical reasoning, code generation and execution, web crawling, and dynamic MCP server creation for seamless AI-driven data processing and automation.

Advanced Bayesian Monte Carlo Tree Search engine for AI-assisted deep analysis and reasoning, offering multi-iteration exploration, state persistence, intent classification, and surprise detection via the Model Context Protocol.

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.