MCP CLI Loop: A Lean Solution for AI Agent Context Bloat

AI agents often suffer from context bloat, loading dozens of tools and thousands of tokens from startup, which leads to high costs and slow performance. A new approach called the MCP CLI Loop tackles this by starting with no tools loaded and a minimal 400-token system prompt. It dynamically discovers and loads only the tools needed for each task, reducing memory footprint and boosting response times. This method promises significant cost savings and efficiency improvements for AI projects.