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Prompt Refinery MCP Server

by farukalpay

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    • A
      license
      A
      quality
      B
      maintenance
      Enables refining prompt intent, structure, constraints, and output instructions before prompts reach an LLM, with tools for schema retrieval, brief validation, and prompt variant generation.
      3
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Refines and optimizes prompts for LLMs through adaptive questioning and intelligent clarification workflows. Supports multiple AI providers (Google, OpenAI, Anthropic, Groq, Qwen) with interactive prompt enhancement and targeted modifications.
      22 PyPI
      17
      MIT
    • F
      license
      A
      quality
      C
      maintenance
      Refines and improves AI prompts using workspace-aware context from your project's tech stack, structure, and dependencies. Includes tools to analyze prompt quality and generate well-structured prompts from raw ideas.
      4
      209 npm
      5
      -
    • A
      license
      B
      quality
      C
      maintenance
      Enables users to enhance rough prompts into more detailed, clear, and effective versions using multiple AI providers like Anthropic, OpenAI, and Gemini. Supports custom templates and integrates with any MCP-compatible client.
      1
      20 npm
      Apache 2.0
    • F
      license
      Not graded
      quality
      C
      maintenance
      Enables self-reflective retrieval-augmented generation with LLM-driven retrieval decisions, document relevance grading, answer grounding verification, and automatic retries, exposed through MCP tools over SSE.
      -
    • A
      license
      Not graded
      quality
      B
      maintenance
      Exposes a deterministic AI-slop scanner and RAG grounding grader as MCP Tools, Resource, and Prompt, enabling any MCP client to evaluate text quality and context faithfulness.
      MIT