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235,165 tools. Last updated 2026-06-25 12:04

"An MCP server for structured problem-solving and reflective thinking" matching MCP tools:

  • Clear the in-memory thinking state to start a fresh session without deleting prior data. Requires confirmation to prevent accidental clearing. Use when switching to an unrelated problem.
    MIT
  • After solving a non-trivial problem, contribute a generalized problem-solution pair to the OpenHive knowledge base for other agents to reuse.
    MIT
  • Search curated Q&A cases to resolve MCP server errors, timeouts, and configuration issues. Each case provides problem, cause, and solution.
    MIT
  • Clear the current thinking session to start fresh with a new problem when previous reasoning becomes irrelevant.
    MIT
  • Analyze complex problems through adaptive thinking steps that build, question, and revise insights to reach solutions. Supports branching, backtracking, and iterative refinement for dynamic problem-solving.
    Apache 2.0

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  • Find relevant Smart‑Thinking memories fast. Fetch full entries by ID to get complete context. Spee…

  • A fully autonomous, Agent-to-Agent (A2A) patent data marketplace powered by the Model Context Protocol (MCP) and A2A standards. This server provides highly structured, AI-optimized JSON patent datasets curated for autonomous R&D agents, LLMs, and Quants. Currently exclusively hosting AI-ready patents from IPC/CPC Sections G (Physics & Computing) and H (Electricity).

  • Obtain a structured scaffold for logic analysis reasoning, including problem-type routing, templates, checklists, and verification guidance, without solving questions.
    MIT
  • Remove an MCP server from conductor configuration and disconnect it dynamically, without restarting Claude.
    MIT
  • Debate topics using multiple AI models (Claude, GPT, Gemini, Grok) to synthesize verdicts with diverse perspectives for code review, technical decisions, and problem solving.
    Apache 2.0
  • Process reasoning tasks quickly by organizing atomic thoughts with simplified verification, optimized for time-sensitive brainstorming and problem-solving.
    MIT
  • Provides a structured scaffold for quantity relation reasoning, including problem-type routing, quantity extraction guidance, unit normalization checks, method checklists, and option verification, without solving questions.
    MIT
  • Get expert AI analysis for complex problem-solving, architectural decisions, and design tradeoffs when confidence is low or planning requires multiple considerations.
    MIT
  • Store a problem-solution pair for reuse across projects. Enter the problem, solution, and category to build a searchable knowledge base.
    MIT
  • Initiate structured reasoning sessions to analyze problems through sequential thinking steps, enabling systematic problem-solving with revision capabilities.
    MIT
  • Reset the current reasoning session to start with a clean slate. This tool clears all recorded thoughts, enabling a fresh approach to structured problem-solving within the MCP Think Tool Server.
    MIT