Prompt Optimizer

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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.

Características Principales

• Extensible architecture allows for easy addition of new optimization styles and scoring metrics.
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• Evaluates prompt effectiveness with an intelligent scoring algorithm based on length, keyword preservation, and clarity.
• Operates as a stateless and deterministic server, ensuring consistent outputs.
• Supports dual transport via STDIO (for MCP clients) and HTTP (for web deployment).
• Generates 3 optimized LLM prompt variants in creative, precise, or fast styles.

Casos de Uso

• Evaluating and scoring the effectiveness of improved LLM prompts relative to originals.
• Generating diverse and optimized variants of LLM prompts.
• Improving prompt engineering workflows for Large Language Models.