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An explanation or exploration of reasoning

  • Why this server?

    This server, focused on the Deepseek R1 model, is designed for reasoning tasks with a large context window, making it ideal for complex problem-solving.

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    A Node.js/TypeScript implementation of a Model Context Protocol server for the Deepseek R1 language model, optimized for reasoning tasks with a large context window and fully integrated with Claude Desktop.
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    40
    JavaScript
    MIT License
    • Apple
    • Linux
  • Why this server?

    The MCP Reasoner facilitates complex problem-solving and decision-making processes through Beam Search and Monte Carlo Tree Search.

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    A systematic reasoning MCP server for Claude Desktop, featuring Beam Search and Monte Carlo Tree Search to facilitate complex problem-solving and decision-making processes.
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    8
    TypeScript
    MIT License
  • Why this server?

    This server generates unconventional solutions, challenging conventional wisdom and creating branches of thinking in different directions.

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    This is a MCP server that implements an unreasonable thinking system. It helps generate unconventional solutions: Generating unreasonable thoughts that challenge conventional wisdom. Creating branches of thinking in different directions
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    10
    JavaScript
    MIT License
    • Apple
  • Why this server?

    This server enhances AI model capabilities with structured, retrieval-augmented thinking processes that enable dynamic thought chains and recursive refinement cycles.

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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.
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    4
    JavaScript
    MIT License
  • Why this server?

    Designed to guide tool usage in problem-solving, this server breaks down complex problems into manageable steps and provides tool recommendations.

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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.
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    245
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    TypeScript
    MIT License
  • Why this server?

    Facilitates executing system commands and retrieving web data using the Brave Search API by interpreting user intents via a Large Language Model (LLM).

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    Facilitates executing system commands and retrieving web data using the Brave Search API by interpreting user intents via a Large Language Model (LLM).
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    Python
  • Why this server?

    This server provides prompts that can be used as slash commands for clients, in order to add page contents as context to the AI assistant, aiding reasoning with relevant information.

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    A model context server that provides prompts that can be used as slash commands for clients like Zed Editor, in order to add page contents as context to the AI assistant.
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    TypeScript
    MIT License
  • Why this server?

    Enhances Claude's reasoning capabilities by integrating DeepSeek R1's advanced reasoning engine for intricate multi-step reasoning tasks with precision and efficiency.

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    Enhances Claude's reasoning capabilities by integrating DeepSeek R1's advanced reasoning engine for intricate multi-step reasoning tasks with precision and efficiency.
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    35
    Python
    MIT License
    • Apple
  • Why this server?

    Enables secure remote execution of Rails console commands over SSH for read-only operations, mutation planning, and executing approved changes in a deployed Rails environment, offering a structured approach to reasoning about Rails applications.

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    Enables secure remote execution of Rails console commands over SSH for read-only operations, mutation planning, and executing approved changes in a deployed Rails environment.
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    7
    TypeScript
    MIT License
  • Why this server?

    Facilitates two-stage reasoning processes using DeepSeek for detailed analysis, supporting multiple response models while maintaining conversation context.

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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.
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    101
    JavaScript
    MIT License