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Bridging LLM Agents and Data Spaces: An Architectural Mediation Approach using the Model Context Protocol
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data integrationAI agentsgovernanceinteroperability
2609.30341
Builder Relevance
1h ago80%
Abstract
This paper presents an architectural mediation approach to integrate AI agents with data spaces using the Model Context Protocol.
Reality Card
Core Claim
The proposed mediation layer enables controlled interaction between LLM agents and data space services, facilitating interoperability without modifying existing data space components.
Method / Result
Prototype implementation validates end-to-end interaction across catalog discovery, metadata retrieval, and data service invocation.
Limitations
The paper does not specify the authors or provide detailed reproducibility metrics.
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