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Improving the Thinking Capabilities of My Gemini AI

  • Why this server?

    This server offers systematic reasoning capabilities designed for Claude Desktop, utilizing beam search and thought evaluation techniques to enhance AI problem-solving.

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    A systematic reasoning MCP server implementation for Claude Desktop with beam search and thought evaluation capabilities
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    143
    TypeScript
    MIT License
  • Why this server?

    This server helps break down complex problems into manageable steps and provides recommendations for which MCP tools would be most effective at each stage, guiding tool usage for improved problem-solving.

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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
    95
    TypeScript
    MIT License
  • Why this server?

    Enhances Claude's reasoning capabilities by integrating DeepSeek R1's advanced reasoning engine, allowing Claude to tackle complex multi-step reasoning tasks with greater precision.

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    Enhances Claude's reasoning capabilities by integrating DeepSeek R1's advanced reasoning engine, allowing Claude to tackle complex multi-step reasoning tasks with greater precision.
    Python
    MIT License
    • Apple
  • Why this server?

    An MCP server that implements the 'think' tool, providing Claude with a dedicated space for structured thinking during complex problem-solving tasks to improve reasoning capabilities.

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    An MCP server that implements the 'think' tool, providing Claude with a dedicated space for structured thinking during complex problem-solving tasks to improve reasoning capabilities.
    48
    Python
    MIT License
    • Linux
    • Apple
  • Why this server?

    Python-based toolkit that communicates with CheatEngine through MCP interface, allowing memory reading and assembly code analysis.

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    An MCP server that generates AI agent tools from Postman collections and requests. This server integrates with the Postman API to convert API endpoints into type-safe code that can be used with various AI frameworks.
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    7
    JavaScript
    MIT License
  • Why this server?

    Analyzes codebases using Repomix and LLMs to provide structured code reviews with specific issues and recommendations, supporting multiple LLM providers including OpenAI, Anthropic, and Gemini.

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    Analyzes codebases using Repomix and LLMs to provide structured code reviews with specific issues and recommendations, supporting multiple LLM providers including OpenAI, Anthropic, and Gemini.
    2
    JavaScript
  • Why this server?

    A server that enables AI assistants like Claude to safely run Python code and access websites, processing data for better AI understanding while providing helpful error messages.

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    A server that enables AI assistants like Claude to safely run Python code and access websites, processing data for better AI understanding while providing helpful error messages.
    2
    Python
    GPL 3.0
    • Linux
    • Apple
  • Why this server?

    SourceSage is an MCP (Model Context Protocol) server that efficiently memorizes key aspects of a codebase—logic, style, and standards—while allowing dynamic updates and fast retrieval. It's designed to be language-agnostic, leveraging the LLM's understanding of code across multiple languages.

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    SourceSage is an MCP (Model Context Protocol) server that efficiently memorizes key aspects of a codebase—logic, style, and standards—while allowing dynamic updates and fast retrieval. It's designed to be language-agnostic, leveraging the LLM's understanding of code across multiple languages.
    Python
    MIT License
  • Why this server?

    Enables storage and retrieval of knowledge in a graph database format, allowing users to create, update, search, and delete entities and relationships in a Neo4j-powered knowledge graph through natural language.

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    Enables storage and retrieval of knowledge in a graph database format, allowing users to create, update, search, and delete entities and relationships in a Neo4j-powered knowledge graph through natural language.
    Python
    • Linux
  • Why this server?

    A system that manages context for language model interactions, allowing the model to remember previous interactions across multiple independent sessions using Gemini API.

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    A system that manages context for language model interactions, allowing the model to remember previous interactions across multiple independent sessions using Gemini API.
    Python
    • Linux
    • Apple