Methods to Improve or Enhance a Prompt MCP servers

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

• Yes or No MCP

  a-polishchuk

  A

  security

  F

  license

  A

  quality

  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 8 months ago

  1

  2

• MCP Prompt Enhancer

  soniankur948

  -

  security

  F

  license

  -

  quality

  Intelligently analyzes codebases to enhance LLM prompts with relevant context, featuring adaptive context management and task detection to produce higher quality AI responses.

  Last updated 7 months ago

  1

• Just Prompt

  disler

  A

  security

  F

  license

  A

  quality

  A lightweight MCP server that provides a unified interface to various LLM providers including OpenAI, Anthropic, Google Gemini, Groq, DeepSeek, and Ollama.

  Last updated 6 months ago

  6

  707

• Refine Prompt

  FelippeFarias

  A

  security

  A

  license

  A

  quality

  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.

  Last updated 10 months ago

  1

  3

  MIT

• MCP Prompt Optimizer

  Bubobot-Team

  -

  security

  A

  license

  -

  quality

  This MCP server provides research-backed prompt optimization tools and professional domain templates designed to improve AI performance through strategies like Tree of Thoughts and Medprompt. It enables users to analyze, auto-optimize, and refine prompts using advanced reasoning patterns and safety-critical alignment techniques.

  Last updated 8 months ago

  20

  MIT

• dev-prompt-mcp

  sayll

  -

  security

  A

  license

  -

  quality

  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.

  Last updated 2 months ago

  5

  MIT