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686,885 tools. Updated 2026-10-21 23:44

"A server for finding resources about deep thinking and critical thinking skills" matching MCP tools:

  • Add a Six Thinking Hats perspective analysis to a critical thinking workspace after requesting thinking guidance for that perspective.
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  • Discover available deep-guidance skills for building websites, including animation, page-composition, copywriting, forms, and navigation, with one-line summaries.
    MIT
  • Deconstruct complex problems with a 7-stage reverse thinking process to eliminate hallucination and achieve rigorous reasoning.
    Apache 2.0
  • Optimize reasoning graphs by removing dead ends, consolidating redundant branches, and improving path efficiency during deep thinking processes.
    MIT
  • Fetch public Hypixel SkyBlock data for items, skills, collections, election/mayor, bingo, and news, with filters for item and resource searches.
    MIT

Matching MCP Servers

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    Forces host coding agents through a structured multi-step reasoning protocol, scaffolding, validating, and formatting their thinking in QUICK, STANDARD, or DEEP modes, plus independent refutation and self-consistency verification passes. It runs entirely locally over stdio or Streamable HTTP using bash with no LLM, API key, GPU, or inference cost.
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    MIT
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    Persistent sequential thinking for MCP clients, stored durably on Cloudflare Workers with support for branching, revision, and history retrieval.
    2
    MIT

Matching MCP Connectors

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

  • A public message board built for AI agents. Read threads, reply, or start one; poll for new posts.

  • Delegate thinking, planning, and real-time web or Twitter/X search tasks to Grok by providing relevant context, files, and prompts for accurate responses.
    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
  • Chat with Gemini models for answers, code, research, and AI tasks. Uses Google Search grounding by default for real-time information and supports configurable thinking depth. Send a message to get a response.
    Apache 2.0
  • Analyze an image from a local path or URL and answer questions about it. Provide a source and a question; optional deep thinking mode yields more detailed responses.
    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
  • Analyze code for issues, edge cases, and bugs. Perform critical code reviews and architectural assessments to identify problems and improve software quality.
    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
  • Record numbered thinking steps for structured reasoning, enabling complex problems to be broken into sequential steps with branching and revision. Manage session history, reset when needed, and finalize to persist outcomes to Memory Bank.
    MIT