Sarcouncil Journal of Multidisciplinary

Abstract: Model Context Protocol (MCP) represents a transformative framework for enhancing build and continuous integration analytics across software engineering organizations. Traditional logging approaches have proven inadequate for capturing the contextual information necessary to efficiently troubleshoot failures in increasingly complex software systems. MCP addresses these limitations by establishing a standardized metadata management framework that systematically captures build and test process information across modern software development ecosystems. By enabling detailed metadata association with build events, MCP transforms fragmented logs into structured data amenable to sophisticated analysis. The protocol delivers substantial benefits across multiple domains: accelerating root cause analysis, enabling predictive capabilities for failure prevention, providing comprehensive visualization systems, and supporting automated triaging workflows. Despite clear advantages, MCP adoption presents challenges, including performance overhead concerns, data volume management issues, privacy considerations, and organizational adaptation requirements. Future directions point toward enhanced cross-language support, federated metadata models, and integration with emerging AI observability frameworks, suggesting evolution toward AI-augmented engineering assistance capabilities.