Bridging LLM Agents and Data Spaces: An Architectural Mediation Approach using the Model Context Protocol

arXiv:2609.30341 · cs.AI, cs.DB · Submitted 2026-09-24 · Read on arXiv

cs.AI, cs.DB

Submitted: 2026-09-24

Updated: 2026-09-24

Code: https://github.com/jaimealruiz/mcp-dsp

Terminology

• AI Agents — 9× in this paper · explained in 2 episodes
• Model Context Protocol — 7× in this paper
• Core — 3× in this paper · explained in 2 episodes
• International Data Spaces Association — 3× in this paper
• Verification — 3× in this paper · explained in 2 episodes
• Abstraction — 2× in this paper · explained in 1 episode
• Benchmark — 2× in this paper · explained in 2 episodes
• Model Context Protocol (MCP) — 2× in this paper · explained in 8 episodes
• Data Sovereignty — 1× in this paper · explained in 2 episodes
• LLM Integration — 1× in this paper · explained in 2 episodes
• Large Language Model (LLM) — 1× in this paper · explained in 3 episodes
• Model-Agnostic — 1× in this paper · explained in 2 episodes
• Modularity — 1× in this paper · explained in 9 episodes
• Multi-Agent System — 1× in this paper · explained in 6 episodes
• Self Sovereign Identity — 1× in this paper
• Semantic Gap — 1× in this paper · explained in 2 episodes
• Server-Sent Events — 1× in this paper

Sources

• Advancing Multi-Agent Systems Through Model Context Protocol: Architecture, Implementation, and Applications

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