Study on the application of MODEL CONTEXT PROTOCOL (MCP) to infrastructure and disaster prevention fields

Abstract

While Large Language Models (LLMs) are being utilized in various civil engineering-related tasks, their practical application in actual work requires responses based on specialized civil engineering knowledge. Retrieval Augmented Generation (RAG) is used as a cost-effective method for introducing specialized knowledge. However, for more diverse applications and more autonomous utilization of LLMs, agent technology has been developed, and a protocol for combining and using agents was proposed by Anthropic in November 2024. By using MCP, there is potential for applying LLMs to complex tasks. This paper provides an overview of LLM developments with a focus on MCP and examines the application of MCP to specific infrastructure and disaster prevention fields.