Bridging LLM Agents and Data Spaces: An Architectural Mediation Approach using the Model Context Protocol
arXiv:2609.30341v1 Announce Type: new 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 infrastructure…
Read the full story at arXiv cs.AI ↗
Timeline · 1 report
- 2026-09-28 04:00 · arXiv cs.AI
Bridging LLM Agents and Data Spaces: An Architectural Mediation Approach using the Model Context Protocol