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270,976 tools. Last updated 2026-07-07 23:35

"Slow thinking, distributed thinking, and reasoning abilities research" matching MCP tools:

  • Generate sequential reasoning chains to structure complex thinking processes by breaking topics into logical steps for clearer analysis.
    MIT
  • Generate structured reasoning chains to break down complex topics into sequential thinking steps for clearer problem-solving and analysis.
    MIT
  • Analyze complex, high-stakes decisions using deep reasoning. Returns structured conclusion, reasoning, and risk warnings.
    MIT
  • Trace how research beliefs changed over time. View claims ordered by date, with options to show superseded claims for complete reasoning chain.
    AGPL 3.0
  • Recomputes connections, idea sources, and agent feedback from the last 90 days to update the thinking profile.
    AGPL 3.0
  • Erase all recorded preference signals and reset the thinking profile to its default configuration, removing all personalized adjustments.
    AGPL 3.0

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

  • AI Reasoning Cache & Consensus Layer with 11 MCP tools via Streamable HTTP.

  • Initiate comprehensive AI-powered research for complex queries by performing web searches, analyzing information, and synthesizing detailed reports with critical thinking.
    MIT
  • Retrieve the current thinking profile from the system configuration, falling back to a default structure if the file is missing.
    AGPL 3.0
  • Generate ASCII art of a thinking cow with custom messages. Use various characters like dragons, penguins, or skeletons to create fun text-based art for documentation or entertainment.
    MIT
  • Clear the in-memory thinking state to start a fresh session while preserving all previous data in SQLite. Requires confirmation to prevent accidental clearing.
    MIT
  • Scan Obsidian notes for open questions and deferred thinking markers. Returns each hit with source, heading, line number, and age, sorted oldest-first to surface aging items.
    MIT
  • Analyze complex problems through sequential thinking, track assumptions, and manage multi-step reasoning with confidence scoring and session-based context.
    MIT
  • Replace a previous thought with updated reasoning, preserving the original in revision history. Corrects incomplete or wrong thinking.
    MIT
  • Generate a diagram of a thinking chain, displaying thoughts, branch points, and revisions in Mermaid or ASCII format for sharing or navigating reasoning structures.
    MIT
  • Assign a human-readable name and optional description to the current thinking session. Without this, sessions use auto-generated timestamp names, making them harder to find later.
    MIT
  • Clear the current thinking session to start fresh with a new problem when previous reasoning becomes irrelevant.
    MIT