Optimizes and scores Large Language Model (LLM) prompts using deterministic heuristics via a Model Context Protocol (MCP) server.
The Prompt Optimizer is an intelligent Model Context Protocol (MCP) server designed to enhance prompt engineering workflows for Large Language Models (LLMs). It offers two primary tools: `optimize_prompt` for generating diverse, optimized prompt variants (creative, precise, fast styles) and `score_prompt` for evaluating the effectiveness of improved prompts based on length, keyword preservation, and clarity. This tool is ideal for developers, content creators, and AI practitioners seeking to refine their LLM interactions.