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The Claude Prompt Optimizer is an open-source Model Context Protocol (MCP) server designed to significantly cut Claude API costs by 30-60%. It tackles common prompt engineering challenges such as vague instructions, inconsistent structuring, hidden token costs, context bloat, and lack of review gates. Acting as a co-pilot for the co-pilot, it performs deterministic analysis, context compression, and intelligent model routing without making any LLM calls itself, ensuring instant, free, and predictable optimization. The tool enforces structure, surfaces assumptions, identifies blocking questions, and provides a clear cost breakdown and model recommendation before a prompt is executed, making Claude interactions more efficient and effective for various task types, from code changes to writing and planning.
