作者认为MCP(模型上下文协议)对AI智能体的未来至关重要,其核心价值不仅在于工具连接,更在于它所启用的抽象能力。作者以自身构建的自我改进系统为例,该系统完全通过MCP驱动,展示了MCP如何赋能智能体间交互、实现复杂协调、版本控制、评估工作流及工具集成等关键功能。作者强调,尽管新事物可能不断涌现,但MCP协议本身对于未来所有进展将是必要且关键的基础。
In a few months, people will start to realize how fundamentally important MCP for agents is.
It's not even about connecting tools. There are many ways to do that.
It's about the types of abstraction it already enables. My new self-improving system, enabled through agent-to-agent interaction, is all powered by MCPs.
This was not an accident. I ran my entire orchestrator through a self-improving loop with clear criteria/goal, and it came up with all kinds of interesting ways (mostly powered by MCP tools) on how to enable complex interactions, versioning, eval workflows, communications, tools, etc.
Something new could always emerge, but I think the protocol itself will be crucial and necessary for all the advancements ahead.