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mcp-reasoner

by Jacck

mcp-reasoner

Perform advanced reasoning using strategies like Beam Search or Monte Carlo Tree Search. Manage thought sequences, evaluate paths, and determine next steps with customizable parameters for precise problem-solving.

Instructions

Advanced reasoning tool with multiple strategies including Beam Search and Monte Carlo Tree Search

Input Schema

NameRequiredDescriptionDefault
beamWidthNoNumber of top paths to maintain (n-sampling). Defaults to 3 if not specified
nextThoughtNeededYesWhether another step is needed
numSimulationsNoNumber of MCTS simulations to run. Defaults to 50 if not specified
strategyTypeNoReasoning strategy to use (beam_search or mcts)
thoughtYesCurrent reasoning step
thoughtNumberYesCurrent step number
totalThoughtsYesTotal expected steps

Input Schema (JSON Schema)

{ "properties": { "beamWidth": { "description": "Number of top paths to maintain (n-sampling). Defaults to 3 if not specified", "maximum": 10, "minimum": 1, "type": "integer" }, "nextThoughtNeeded": { "description": "Whether another step is needed", "type": "boolean" }, "numSimulations": { "description": "Number of MCTS simulations to run. Defaults to 50 if not specified", "maximum": 150, "minimum": 1, "type": "integer" }, "strategyType": { "description": "Reasoning strategy to use (beam_search or mcts)", "enum": [ "beam_search", "mcts", "mcts_002_alpha", "mcts_002_alt_alpha" ], "type": "string" }, "thought": { "description": "Current reasoning step", "type": "string" }, "thoughtNumber": { "description": "Current step number", "minimum": 1, "type": "integer" }, "totalThoughts": { "description": "Total expected steps", "minimum": 1, "type": "integer" } }, "required": [ "thought", "thoughtNumber", "totalThoughts", "nextThoughtNeeded" ], "type": "object" }
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