MCP Reasoning Server provides advanced reasoning capabilities for Claude in Cursor AI through simulated reasoning algorithms including Monte Carlo Tree Search, Beam Search, R1 Transformer, and Hybrid Reasoning. Built by AzDeltaQQ (inspired by Jacck's mcp-reasoner), it implements auto-iterative reasoning that completes all steps in a single tool call, returning structured JSON responses with reasoning traces. The server is designed for complex problem-solving tasks in software development contexts like algorithm optimization, architecture design, and code refactoring.
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Highlight AIStarts a MCTS-based reasoning chain with the provided query. Example usage: '/reason-mcts How can I optimize the performance of this React component?'
Initiates beam search-based reasoning with the specified query. Example usage: '/reason-beam What architecture would be best for this microservice system?'
Executes single-step Transformer-based reasoning for the given query. Example usage: '/reason-r1 Analyze the complexity of this algorithm.'
Combines Transformer and MCTS reasoning for the provided query. Example usage: '/reason-hybrid How should we approach refactoring this legacy codebase?'
