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"An explanation or exploration of reasoning" matching MCP servers:

  • Chain of Draft Thinking

    bsmi021
    A
    license
    A
    quality
    D
    maintenance
    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
    25
    24
    MIT

  • MCP of MCPs

    eliavamar
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    license
    -
    quality
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    maintenance
    A meta-server that aggregates multiple MCP servers into a single interface, reducing token usage by 98%+ through progressive tool discovery and direct code execution that processes data between tools without consuming context window space.
    Last updated
    16
    10
    Apache 2.0

  • Yes or No MCP

    a-polishchuk
    F
    license
    D
    quality
    D
    maintenance
    A simple MCP server implementation in TypeScript that communicates over stdio, allowing users to ask questions that end with 'yes or no' to trigger the MCP tool in Cursor.
    Last updated
    1
    6

  • Google OR-Tools server

    Jacck
    A
    license
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    quality
    D
    maintenance
    MCP-ORTools integrates Google's OR-Tools constraint programming solver with Large Language Models through the MCP, enabling AI models to: Submit and validate constraint models Set model parameters Solve constraint satisfaction and optimization problems Retrieve and analyze solution
    Last updated
    21
    MIT

  • MCP Reasoning Engine

    arslanmanzoorr
    F
    license
    -
    quality
    D
    maintenance
    A production-ready reasoning engine that integrates Claude AI with specialized MCP tools for knowledge retrieval, schema validation, and domain-specific rubric evaluation. It enables structured RAG-based analysis across legal, health, and science domains via a RESTful API.
    Last updated

  • MCP Server Boilerplate

    ricleedo
    F
    license
    C
    quality
    D
    maintenance
    A starter template for building MCP (Model Context Protocol) servers that integrate with Claude, Cursor, or other MCP-compatible AI assistants. Provides a clean foundation with TypeScript support, example tool implementation, and installation scripts for quick customization.
    Last updated
    2

  • Context Mode

    mksglu
    A
    license
    A
    quality
    A
    maintenance
    An MCP server that preserves LLM context by intercepting large data outputs and returning only concise summaries or relevant sections. It enables efficient sandboxed code execution, file processing, and documentation indexing across multiple programming languages and authenticated CLIs.
    Last updated
    11
    13,202
    19,191
    Elastic 2.0

  • CodeBrain

    Tschonsen
    A
    license
    A
    quality
    D
    maintenance
    An MCP server that offloads bulk coding tasks to local LLMs, allowing Claude Code to delegate repetitive work like boilerplate generation and code polishing while preserving its context for complex reasoning.
    Last updated
    10
    1
    MIT

  • MCP Odoo Shell

    seletz
    A
    license
    A
    quality
    F
    maintenance
    A bridge server that provides access to an Odoo shell environment, allowing execution of Python code within an Odoo database context for model introspection and database operations.
    Last updated
    4
    MIT

  • MCP Sage

    jalehman
    F
    license
    A
    quality
    D
    maintenance
    An MCP server that provides tools for getting second opinions or detailed code reviews from Gemini 2.5 Pro by embedding file contents in prompts, allowing it to handle large codebases with extensive context.
    Last updated
    3
    10

  • Massive Context MCP

    egoughnour
    A
    license
    A
    quality
    C
    maintenance
    An MCP server that enables processing of massive datasets up to 10M+ tokens using a recursive language model pattern for strategic chunking and analysis. It automates sub-queries and result aggregation using free local inference via Ollama or the Claude API to handle context beyond standard prompt limits.
    Last updated
    17
    1
    MIT