JFrog has introduced the MCP Server, a new feature of its Software Supply Chain Platform, which facilitates the integration of large language models (LLMs) with JFrog's tools, thus eliminating the need for developers to be DevOps or JFrog experts. This integration is enabled by the Model Context Protocol (MCP), a framework that connects AI systems with external tools through a lightweight interface, enhancing interoperability and accessibility. The MCP Server supports essential tools for creating and managing projects, repositories, and provides detailed security information without context-switching, all while being remotely delivered to ensure it remains up-to-date. By leveraging MCP, developers can easily automate complex set-ups, such as project creation and repository configuration, via simple AI-driven commands, streamlining workflows and reducing the risk of errors. The JFrog Remote MCP Server is available in open beta for all JFrog SaaS customers, offering a simplified and AI-enhanced development process.