A study found that integrating Model Context Protocol (MCP) servers and Agent Skills enhances the efficiency of AI agents like Amazon Q Developer Pro. MCP provides reliable, isolated capabilities, while skills offer intelligent decision-making based on domain knowledge. This architecture optimizes context usage, ensures portability across different environments, and simplifies maintenance by separating reusable technical functions from specific business logic.
Developers are advised to implement this pattern by identifying repetitive tasks that require either external tools (MCP) or decision logic (Skills), then building the simplest version that works before iterating based on feedback. This approach is being applied in real-world AWS infrastructure management, demonstrating its practical value beyond theoretical benefits.
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