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arXiv AI By Jaime Alonso Ruiz, Carlos Aparicio, Gabriel Huecas, Joaqu\'in Salvach\'ua, Andres Munoz-Arcentales

Bridging LLM Agents and Data Spaces: An Architectural Mediation Approach using the Model Context Protocol

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The paper introduces an architectural mediation approach that uses the Model Context Protocol (MCP) to bridge large language model (LLM) agents with data spaces. By implementing the Eunomia Agent, the mediation layer translates data space capabilities into structured, schema-driven tools that LLM agents can discover and invoke while respecting governance constraints. A prototype demonstrates end‑to‑end interaction across catalog discovery, metadata retrieval, and data service invocation without altering existing data space components, showing that protocol‑based mediation enables interoperable, standards‑aligned integration of AI agents into governed data‑sharing ecosystems.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv AI.

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