Artificial Intelligence (AI) will play an essential role in 6G. It will fundamentally reshape the network architecture itself and drive major changes in the design of network entities, interfaces, and procedures. The adoption of agentic AI in next-generation networks is expected to enhance network intelligence and autonomy through agents capable of planning, reasoning, and acting, while also opening up new business opportunities. Under this vision, existing network functions are expected to evolve into AI-enabled agents and tools that deliver both connectivity and beyond-connectivity services. As an initial attempt to move toward this vision, this paper presents a tool-based interface design and an experimental prototype that are based on agentic AI for the mobile core network, with the Model Context Protocol (MCP) and the Agent2Agent (A2A) protocol as foundational protocols. MCP is selected to design the interface between the agent and network tools, and the A2A protocol is used for message exchange between AI agents. In such an experimental setup, we analyze packet-level message flows between the agents, tools, and network functions and break down the latency of end-to-end operations, starting from the prompt injection until the completion of the input task. This work demonstrates how an AI agent-based core network combined with network-specific tools can be utilized in next generation mobile systems to execute intent-based tasks.

翻译：人工智能（AI）将在6G中发挥关键作用。它将从根本上重塑网络架构本身，并推动网络实体、接口和流程设计的重大变革。在下一代网络中采用智能体AI，有望通过具备规划、推理和行动能力的智能体进一步增强网络智能与自主性，同时开辟新的商业机遇。在这一愿景下，现有网络功能将演变为支持连接及超越连接服务的AI赋能智能体与工具。作为迈向这一愿景的初步尝试，本文提出了一种基于智能体AI的移动核心网络工具接口设计与实验原型，以模型上下文协议（Model Context Protocol, MCP）和智能体间协议（Agent2Agent, A2A）为基础协议。其中，MCP被选用于设计智能体与网络工具之间的接口，而A2A协议则用于AI智能体间的消息交换。在此实验设置中，我们分析了智能体、工具及网络功能间的数据包级消息流，并分解了从提示注入到输入任务完成的全过程端到端操作延迟。本工作展示了如何将基于AI智能体的核心网络与网络专用工具相结合，在下一代移动系统中执行基于意图的任务。