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Servers for General Metacognitive MCP for Complex Problem Solving

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  • Why this server?

    This server is designed for systematic reasoning, which aligns directly with the user's request for metacognitive servers to aid in complex problem-solving. Its beam search and thought evaluation capabilities are beneficial for models needing structured reasoning.

    mcp-reasoner

    Jacck
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    A systematic reasoning MCP server implementation for Claude Desktop with beam search and thought evaluation capabilities
    Last updated -
    1
    143
    TypeScript
    MIT License

  • Why this server?

    This server breaks down complex issues into sequential steps, aligning with the need for metacognitive support in problem-solving. The ability to revise steps and explore multiple solution paths makes it useful for complex tasks.

    Sequential Thinking MCP Server

    arben-adm
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    This server facilitates structured problem-solving by breaking down complex issues into sequential steps, supporting revisions, and enabling multiple solution paths through full MCP integration.
    Last updated -
    3
    90
    Python
    MIT License
    • Apple

  • Why this server?

    Guides tool usage in problem-solving by breaking down complex problems into manageable steps and recommending MCP tools, which can help models with complex problem solving by giving direction.

    mcp-sequentialthinking-tools

    spences10
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    An adaptation of the MCP Sequential Thinking Server designed to guide tool usage in problem-solving. This server helps break down complex problems into manageable steps and provides recommendations for which MCP tools would be most effective at each stage.
    Last updated -
    1
    360
    125
    TypeScript
    MIT License

  • Why this server?

    Provides hierarchical task management capabilities to LLMs, providing structure and context needed to manage complex tasks and dependencies. This helps with metacognition by helping organize the models workflow.

    atlas-mcp-server

    cyanheads
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    ATLAS (Adaptive Task & Logic Automation System) is a Model Context Protocol server that provides hierarchical task management capabilities to Large Language Models. This tool provides LLMs with the structure and context needed to manage complex tasks and dependencies.
    Last updated -
    22
    79
    129
    TypeScript
    Apache 2.0
    • Linux
    • Apple

  • Why this server?

    Enables AI agents to break down complex tasks into manageable pieces. This relates to meta cognition by helping the agent work through a tough problem.

    Divide and Conquer MCP Server

    landicefu
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    security
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    Enables AI agents to break down complex tasks into manageable pieces using a structured JSON format with task tracking, context preservation, and progress monitoring capabilities.
    Last updated -
    12
    2
    JavaScript
    MIT License
    • Apple
    • Linux

  • Why this server?

    Enhances AI model capabilities with structured, retrieval-augmented thinking processes. Supports dynamic thought chains, parallel exploration paths, and recursive refinement cycles.

    Retrieval-Augmented Thinking MCP Server

    stat-guy
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    Enhances AI model capabilities with structured, retrieval-augmented thinking processes that enable dynamic thought chains, parallel exploration paths, and recursive refinement cycles for improved reasoning.
    Last updated -
    1
    4
    JavaScript
    MIT License

  • Why this server?

    This server facilitates two-stage reasoning processes using DeepSeek for detailed analysis. This is applicable because two stage reasoning involves metacognition, and can help with complex problem solving.

    RAT MCP Server

    newideas99
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    Facilitates two-stage reasoning processes using DeepSeek for detailed analysis and supports multiple response models such as Claude 3.5 Sonnet and OpenRouter, maintaining conversation context and enhancing AI-driven interactions.
    Last updated -
    2
    101
    JavaScript
    MIT License

  • Why this server?

    Helps developers make better decisions through systematic, iterative refinement of thoughts and designs, which can help meta cognition.

    Chain of Draft Thinking

    bsmi021
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    security
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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
    Last updated -
    1
    6
    7
    TypeScript
    MIT License