mcp-reasoner

Enhance complex problem-solving with advanced reasoning strategies like Beam Search and Monte Carlo Tree Search. Streamline decision-making by iteratively evaluating steps and determining the next thought needed.

Instructions

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

Input Schema

Name	Required	Description
`nextThoughtNeeded`	Yes	Whether another step is needed
`strategyType`	No	Reasoning strategy to use (beam_search or mcts)
`thought`	Yes	Current reasoning step
`thoughtNumber`	Yes	Current step number
`totalThoughts`	Yes	Total expected steps

Input Schema (JSON Schema)

{
  "properties": {
    "nextThoughtNeeded": {
      "description": "Whether another step is needed",
      "type": "boolean"
    },
    "strategyType": {
      "description": "Reasoning strategy to use (beam_search or mcts)",
      "enum": [
        "beam_search",
        "mcts"
      ],
      "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"
}

MCP Reasoner

mcp-reasoner

Instructions

Input Schema

Input Schema (JSON Schema)

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