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"A tool for critical thinking and devil's advocate analysis of AI model plans" matching MCP tools:

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    Chain of Draft Server is a powerful AI-driven tool that helps developers make better decisions through systematic, iterative refinement of thoughts and designs. It integrates seamlessly with popular AI agents and provides a structured approach to reasoning, API design, architecture decisions, code r
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    MIT
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    Provides AI assistants with a standardized interface to interact with the Todo for AI task management system. It enables users to retrieve project tasks, create new entries, and submit completion feedback through natural language.
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    Apache 2.0

Matching MCP Connectors

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

  • Structured sequential thinking tool for biomedical research tasks. Use it before searches or analysis to ensure comprehensive understanding, optimal search strategies, and complete data synthesis in BioMCP workflows.
    MIT
  • Initiate comprehensive AI-powered research for complex queries by performing web searches, analyzing information, and synthesizing detailed reports with critical thinking.
  • Determine if your protected content was used to train a suspect AI model by running membership inference with watermark detection and statistical analysis methods.
    MIT
  • Extracts and structures git diff data, providing context and analysis instructions for AI models via the Model Context Protocol in Lucidity MCP.
    Apache 2.0
  • Monitor the health and configuration status of the thinking augmentation system to verify API availability and operational readiness.
    MIT
  • Retrieve aggregated leaderboard stats per model including win/loss/draw counts, win percentage, and average thinking time, sorted by win rate descending for quick performance comparison.
    Apache 2.0
  • Retrieve detailed information about a specific AI model by providing its saved name and version. Use this tool to access model configurations and metadata for red-teaming tasks and AI safety analysis.
    Apache 2.0
  • Analyze a query to determine if deeper thinking is required, assessing complexity and context for informed decision-making within the MCP Agile Flow server.
  • Change thinking processes between analytical, intuitive, creative, critical, or meta-cognitive modes to adapt reasoning approaches for different tasks.
    MIT
  • Manages structured thinking sessions by listing, searching, retrieving detailed analysis, or resuming previous sessions for complex problem-solving.
    MIT