Prompt Cleaner

About

This Python-based Model Context Protocol (MCP) server is engineered to significantly elevate the quality of raw prompts. By harnessing the power of large language models, it intelligently refines prompts for greater clarity, specificity, and overall impact. The tool is versatile, offering both general text enhancement and specialized optimization for code-related prompts, ensuring users receive well-structured and actionable input for various AI models. It provides robust configuration options for seamless integration with both local and cloud-based LLMs, making it a flexible solution for prompt engineering.

Key Features

• AI-Powered Prompt Enhancement for clarity and specificity
• Context-Aware Processing to guide enhancement
• Mode-Specific Optimization for 'general' or 'code' use cases
• Quality Assessment with scores and detailed feedback
• Robust Two-Level Retry Strategy with Exponential Backoff
• 0 GitHub stars

Use Cases

• Improving the clarity and effectiveness of user prompts for AI models
• Optimizing code-related prompts to generate better AI-assisted code
• Preparing prompts with additional context for specific tasks or domains