Generate structured reasoning chains to break down complex topics into sequential thinking steps for clearer problem-solving and analysis.
MIT
602,311 tools. Updated 2026-09-23 07:42
"Improved thinking frameworks and methodologies beyond sequential thinking" matching MCP tools:
- Deconstruct complex problems with a 7-stage reverse thinking process to eliminate hallucination and achieve rigorous reasoning.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
- View or change the Cassette model and thinking level for a session. Pass a session ID to see current settings and options, or provide model/thinking level to update them.MIT
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- Update the AI Coach mascot with your current activity state to trigger animations and speech bubbles for thinking, working, waiting, succeeded, or failed.MIT
- Break down complex problems into manageable steps with support for revision and branching, enabling dynamic and reflective problem-solving through a structured thinking process.MIT
- Break down complex problems into manageable steps with dynamic thinking that supports revision, branching, and hypothesis verification for adaptive problem-solving.-
- 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
- Break down complex problems into sequential steps, revise and branch as needed, and verify solutions through iterative thinking.MIT
- Analyze public PDF or text files via URL and get answers to your questions. Returns structured JSON, with optional deep thinking for detailed analysis.MIT
- Query Perplexity AI with explicit model selection, extended thinking, and source focus to get tailored answers for research or analysis.MIT
- Start a named thinking chain to guide multi-step reasoning, routing to master when no custom chain matches. Use default or custom chains for freeform or checklist-based problem-solving.MIT
- Generate alternative thinking approaches using lateral thinking personas when stuck on a problem. Dispatch multiple personas in parallel to get fresh perspectives.MIT
- Show or hide a thinking indicator in the trader's panel. Activate it before long lookups so the user knows you're working; it clears automatically when the reply is sent.MIT
- Lists models pi can reach now, from live catalog, showing provider, model ID, context window, max output, thinking and image support. Helps pick model and thinking values before requests.MIT
- Discover all thinking chains across built-in, global, pack, and project levels, with shadowing and validation errors. Diagnose missing packs, conflicts, and invalid files.MIT
- Summon a legendary founder or investor persona to get advice, have a conversation, or apply their thinking framework to your problem.MIT
- Reads and returns the current thinking profile from the system configuration, automatically falling back to default values if the file is missing.AGPL 3.0