MCP与技能：AI代理如何连接工具和现实世界系统

The debate between MCP and Skills has become a trending topic in the tech community as AI Agents evolve rapidly. Large language models are transitioning from mere conversational systems to task execution systems. Previously, these models primarily generated information and assisted in decision-making. However, there is a growing expectation for AI to directly operate systems, call tools, and complete real-world tasks. For instance, in data engineering scenarios, users want AI not only to explain data pipeline configurations but also to create data synchronization tasks and monitor job statuses. This shift indicates an enhancement in AI's capabilities in practical applications, driving the demand for more efficient tools and skills.