Researchers propose MCP-based mediation layer for LLM agents and data spaces
A paper on arXiv introduces an architectural mediation approach using the Model Context Protocol (MCP) to connect large language model agents with data space services. The authors implement the Eunomia Agent as a prototype that translates data space capabilities into structured, schema-driven tools. This allows AI agents to discover and invoke data services while preserving governance…
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Key points
- Proposes MCP-based mediation layer for LLM agents and data spaces
- Eunomia Agent prototype validates catalog discovery and data invocation
- Approach preserves governance without modifying data space components
Read the original at arXiv cs.AI · by Jaime Alonso Ruiz, Carlos Aparicio, Gabriel Huecas, Joaqu\'in Salvach\'ua, Andres Munoz-Arcentales primary sourceOpen source ↗
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