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PentestThinkingMCP

by LT7T

pentestthinkingMCP

Plan and optimize penetration testing attack paths using Beam Search and Monte Carlo Tree Search algorithms for step-by-step guidance, CTF solutions, and tool recommendations.

Instructions

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

Input Schema

NameRequiredDescriptionDefault
attackStepYesCurrent attack step or action in the penetration test
attackStepNumberYesCurrent step number in the attack chain
nextAttackStepNeededYesWhether another attack step is needed
strategyTypeNoAttack strategy to use (beam_search or mcts)
totalAttackStepsYesTotal expected steps in the attack chain

Input Schema (JSON Schema)

{ "properties": { "attackStep": { "description": "Current attack step or action in the penetration test", "type": "string" }, "attackStepNumber": { "description": "Current step number in the attack chain", "minimum": 1, "type": "integer" }, "nextAttackStepNeeded": { "description": "Whether another attack step is needed", "type": "boolean" }, "strategyType": { "description": "Attack strategy to use (beam_search or mcts)", "enum": [ "beam_search", "mcts" ], "type": "string" }, "totalAttackSteps": { "description": "Total expected steps in the attack chain", "minimum": 1, "type": "integer" } }, "required": [ "attackStep", "attackStepNumber", "totalAttackSteps", "nextAttackStepNeeded" ], "type": "object" }
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