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Data Spaces

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RESEARCH · 1 SOURCE · arXiv cs.AI

Model Context Protocol and Eunomia Agent propose mediation layer to connect LLM agents with Data Spaces (arXiv:2609.30341v1)

The paper proposes an architectural mediation approach using the Model Context Protocol (MCP), implemented in the Eunomia Agent, to translate data space capabilities into schema-driven tools LLM agents can discover and invoke. A prototype demonstrates end-to-end interactions for catalog discovery, metadata retrieval, and data service invocation without modifying existing data space components, aiming to preserve governance and interoperability.

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