Replace outdated reasoning with updated thoughts. Preserves original in revision history for traceability. Use to correct or improve earlier thinking.
MIT
205,128 tools. Last updated 2026-06-15 06:12
"Understanding Claude AI's Reasoning and Thinking Ability" matching MCP tools:
- Infers thinking-time breakdown for recent turns by measuring gaps between tool calls. Returns per-turn and aggregate stats to analyze Claude Code's extended thinking.MIT
- Break down complex problems into structured reasoning steps to track thinking, expected outcomes, and next actions for systematic problem-solving.MIT
- Analyze complex problems through structured thinking that adapts and evolves as understanding deepens, enabling dynamic problem-solving with revision and multi-step reasoning.MIT
- Process queries using DeepSeek's R1 reasoning engine to generate structured analysis for Claude integration, handling complex multi-step reasoning tasks with precision.MIT
- Generate novel ideas by applying creative frameworks (SCAMPER, Design Thinking) with domain context, idea clustering, feasibility analysis, and iterative refinement. Supports Gemini, Codex, and Claude.MIT
Matching MCP Servers
- Alicense-qualityDmaintenanceMCP server for step-by-step mathematical reasoning and planning, enabling AI agents to execute calculations and perform GUI actions like opening PowerPoint.Last updated1Apache 2.0
- AlicenseAqualityDmaintenanceAn enhanced sequential thinking tool optimized for programming tasks that helps break down complex coding problems into structured, self-auditing thought steps with branching and revision capabilities.Last updated1208254MIT
Matching MCP Connectors
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AI Reasoning Cache & Consensus Layer with 11 MCP tools via Streamable HTTP.
- Fetch detailed ability kits for Marvel Rivals heroes to understand mechanics, cooldowns, and combat strategies. Use this tool to access primary fire, abilities, ultimates, and passive information for specific heroes.MIT
- Retrieve a complete summary of the current thinking session, including all analysis steps and reasoning paths.
- Analyze thinking process statistics to track cognitive patterns and reasoning performance within memory management systems.MIT
- Break down complex problems into manageable steps for structured analysis. Track reasoning progress, revise previous steps, and explore alternative paths to solve challenging problems systematically.
- Clarify unclear thinking by applying Socratic questioning to examine assumptions and understand concepts better.
- Generate detailed thinking process text using Gemini's experimental model to analyze CSV data and perform complex reasoning tasks.
- Generate sequential reasoning chains to structure complex thinking processes by breaking topics into logical steps for clearer analysis.MIT
- Apply a 9-step reasoning framework to systematically analyze complex problems, breaking them down with structured logical thinking and methodical approaches for clear solutions.MIT
- Generate structured reasoning chains to break down complex topics into sequential thinking steps for clearer problem-solving and analysis.MIT
- Analyze codebases and design user interfaces using Google Gemini's visual understanding and detective capabilities for rapid prototyping and comprehensive analysis.MIT
- Analyze complex problems using five reasoning engines: iterative bounded reasoning, multi-perspective analysis, chain compression, evolutionary search, or structured decomposition. Auto-selects or manually choose the optimal method.MIT
- 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
- Extract structured content from PDFs, images, and Office files while preserving original formatting and layout using Upstage AI's document digitization API.MIT
- Analyze complex, high-stakes decisions using deep reasoning. Returns structured conclusion, reasoning, and risk warnings.MIT