Originally published at arXiv CS.AI
· 2026-09-28
arXiv:2609.30341 (cs)
[Submitted on 24 Sep 2026]
Authors:Jaime Alonso Ruiz, Carlos Aparicio, Gabriel Huecas, Joaquín Salvachúa, Andres Munoz-Arcentales
View a PDF of the paper titled Bridging LLM Agents and Data Spaces: An Architectural Mediation Approach using the Model Context Protocol, by Jaime Alonso Ruiz and 4 other authors
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 mediation approach based on the Model Context Protocol (MCP), implemented through the Eunomia Agent, to enable controlled interaction between large language model (LLM) agents and data space services. The proposed mediation layer translates data space capabilities into structured, schema-driven tools that AI agents can discover and invoke while preserving governance constraints. A prototype implementation validates end-to-end interaction across catalog discovery, metadata retrieval, and data service invocation without modifying existing data space components. Results demonstrate that protocol-based mediation enables interoperable and standards-aligned integration of AI agents into data space ecosystems. The approach provides practical guidance for organizations seeking to introduce AI-driven automation into governed data-sharing environments while maintaining compliance, interoperability, and architectural separation of concerns.
| Subjects: | Artificial Intelligence (cs.AI); Databases (cs.DB) |
|---|---|
| Cite as: | arXiv:2609.30341 [cs.AI] |
| (or arXiv:2609.30341v1 [cs.AI] for this version) | |
| https://doi.org/10.48550/arXiv.2609.30341 arXiv-issued DOI via DataCite (pending registration) |
From: Andres Munoz-Arcentales Ph. D. [view email]
[v1] Thu, 24 Sep 2026 11:42:36 UTC (13 KB)
Full-text links:
View a PDF of the paper titled Bridging LLM Agents and Data Spaces: An Architectural Mediation Approach using the Model Context Protocol, by Jaime Alonso Ruiz and 4 other authors
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