Building MCP Hub for DevOps and CI/CD Pipelines

Modern DevOps uses a wide range of tools, including Git repositories, CI/CD pipelines, monitoring platforms, cloud services, and security systems. These tools often work separately and are not fully connected. Because of this, engineers have to switch between multiple systems, repeat similar tasks, and rely on personal experience or undocumented knowledge to complete their work. This lack of integration creates inefficiencies, slows down deployments, and increases mental effort for engineering teams. The Model Context Protocol (MCP) solves the above challenges by providing a standardized communication layer between AI agents or assistants and development tools. This works as a universal embedding system that allows AI tools and systems to process the data from and execute actions across the ecosystem through a consistent interface.