Current frontier LLMs leverage vast training datasets with knowledge about a broad range of programming languages and frameworks, and can often solve tasks with minimal prompting. However, there are scenarios where remote LLMs are unsuitable, due to cost, privacy, security, or intellectual property concerns, and local...
Antonio García-Domínguez, Ionut Predoaia, T. Vu et al.· Proceedings of the 1st Inter...· 0 citations
Recent industry practice has seen the rapid emergence of agentic systems composed of heterogeneous, tool- and LLM-mediated agent components, raising practical questions about inter-agent coordination and protocol design. This paper presents an implementation-grounded comparison of the Model Context Protocol (MCP) and t...
Ionut Predoaia, T. Vu, Konstantinos Barmpis et al.· arXiv.org· 0 citations
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