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"Methods to Improve or Enhance a Prompt" matching MCP servers:

  • methods-mcp

    webwebb56
    A
    license
    -
    quality
    D
    maintenance
    Provides MCP tool adapters for Bioconductor methods like limma, DESeq2, and fgsea, enabling statistical analysis of omics data through containerized R execution. It serves as a bridge between MCP clients and bioinformatics tools for reproducible research workflows.
    Apache 2.0

  • self-improve

    Feynman520
    A
    license
    -
    quality
    B
    maintenance
    Captures user corrections and improvements during interactions, logs them, finds recurring patterns, and prescribes preventive fixes like CLAUDE.md rules, skills, scripts, or MCP tools to avoid repeating mistakes.
    6
    MIT

  • or-info

    jmtrs
    A
    license
    -
    quality
    B
    maintenance
    Enables AI agents to query OpenRouter model information including prices, ELO rankings, context, and perform comparisons.
    445
    1
    MIT

  • or-pricer

    viperdriver2000
    F
    license
    -
    quality
    B
    maintenance
    MCP server that provides OpenRouter model pricing data, enabling price lookups, trending/cheapest lists, and model searches without an API key.
  • @pipeworx/or-dmv by pipeworx-io

    @pipeworx/or-dmvofficial

    pipeworx-io
    A
    license
    -
    quality
    C
    maintenance
    Provides live wait times and office details for all 60 Oregon DMV field offices by scraping the ODOT website, with no authentication required.
    20
    MIT

  • Refine Prompt

    FelippeFarias
    A
    license
    A
    quality
    D
    maintenance
    An MCP server that uses Claude 3.5 Sonnet to transform ordinary prompts into structured, professionally engineered instructions for any LLM. It enhances AI interactions by adding context, requirements, and structural clarity to raw user inputs.
    1
    3
    MIT

  • Prompt Ops MCP

    heyjustinai
    A
    license
    A
    quality
    D
    maintenance
    Optimizes prompts using meta-prompting techniques through a two-turn approach that first provides optimization guidelines and then refines the prompt for enhanced quality and effectiveness.
    1
    14
    4
    MIT

  • mcp-prompt-server

    marcmodin
    A
    license
    A
    quality
    C
    maintenance
    Enables dynamic prompt management by automatically discovering and serving markdown prompt files with YAML frontmatter via the Model Context Protocol.
    1
    1
    MIT

  • dev-prompt-mcp

    sayll
    A
    license
    B
    quality
    D
    maintenance
    An MCP server that registers customizable prompt templates as tools for natural language interaction. It supports hot-reloading and easy extension via YAML or JSON files to automate tasks like code review, refactoring, and content summarization.
    2
    11
    1
    MIT

  • MCP Prompt Optimizer

    grandinh
    A
    license
    B
    quality
    D
    maintenance
    Automatically analyzes and optimizes AI prompts by calculating clarity scores, detecting risks, asking clarifying questions, and adding domain-specific requirements to improve AI interaction quality.
    1
    MIT

  • RT-Prompt-MCP

    yuyao1999
    A
    license
    D
    quality
    D
    maintenance
    A Model Context Protocol server that provides specialized prompt suggestions for backend development, frontend development, and general tasks to help LLMs generate better content.
    6
    36
    1
    MIT