Simple Prompt Optimizer

关于

This Model Context Protocol (MCP) server transforms ambiguous ideas into refined, effective prompts instantly. It leverages OpenRouter to access advanced language models, applying proven frameworks such as CO-STAR (Context, Objective, Style, Tone, Audience, Response) and Chain-of-Thought critique to meticulously analyze and rewrite inputs. Designed for speed and reliability, it ensures your prompts are optimized for clarity and accuracy, avoiding the common pitfalls of slower or less precise prompt improvement tools.

主要功能

• Utilizes OpenRouter to access top-tier LLM models for superior optimization.
• Implements proven frameworks like CO-STAR and Chain-of-Thought critique.
• Features a 'Critique & Refine' loop that analyzes prompt weaknesses before rewriting.
• Offers `instant_improve` for rapid, structured prompt enhancements for daily tasks.
• Provides `deep_optimize` for sophisticated prompt optimization ideal for complex architectures.
• 1 GitHub stars

使用案例

• Rapidly enhancing prompts for daily tasks and quick fixes.
• Optimizing complex prompts for critical implementations and debugging.
• Transforming vague ideas into perfectly structured and effective prompts.