用 MCP 桥接 LLM 智能体与数据空间：架构中介方法
原标题：Bridging LLM Agents and Data Spaces: An Architectural Mediation Approach using the Model Context Protocol
AI 摘要
该论文提出一种基于 Model Context Protocol (MCP) 的架构中介层，通过 Eunomia Agent 实现 LLM 智能体与数据空间服务之间的受控交互。中介层将数据空间能力转化为结构化、模式驱动的工具，供 AI 智能体发现和调用，同时保留治理约束。原型验证了目录发现、元数据检索和数据服务调用的端到端交互，且无需修改现有数据空间组件。
正文节选
Bridging LLM Agents and Data Spaces: An Architectural Mediation Approach using the Model Context ProtocolThanks: Corresponding author: Andres Munoz-Arcentales (email: joseandres.munoz@upm.es). Abstract Data Spaces enable sovereign and governed data sharing across organizational boundaries, but their integration with AI agents remains challenging due to mismatches between probabilistic language model interactions and policy-driven data infrastructures. This article presents an architectural media