mcts-mcp-server
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A Model Context Protocol (MCP) server that exposes an Advanced Bayesian Monte Carlo Tree Search (MCTS) engine for AI-assisted analysis and reasoning.
The MCTS MCP Server enables Claude to use Monte Carlo Tree Search (MCTS) algorithms for deep, explorative analysis of topics, questions, or text inputs. The MCTS algorithm uses a Bayesian approach to systematically explore different angles and interpretations, producing insightful analyses that evolve through multiple iterations. This server supports multi-iteration analysis, state persistence, and intent classification, making it a robust tool for AI-assisted reasoning. It is compatible with multiple LLMs, including Ollama, OpenAI, Anthropic, and Google Gemini models, and offers features like surprise detection and approach taxonomy. The server is designed to be integrated with Claude Desktop, providing a seamless experience for users looking to leverage advanced AI analysis capabilities.
Features
- Bayesian MCTS: Uses a probabilistic approach to balance exploration vs. exploitation during analysis.
- Multi-iteration Analysis: Supports multiple iterations of thinking with multiple simulations per iteration.
- State Persistence: Remembers key results, unfit approaches, and priors between turns in the same chat.
- Approach Taxonomy: Classifies generated thoughts into different philosophical approaches and families.
- Multi-LLM Support: Supports Ollama, OpenAI, Anthropic, and Google Gemini models.
