In this video, we'll demonstrate how developer using AI-powered development tools such as Amazon's Q Developer can use NetApp's MCP server for knowledge bases to accelerate software development. Let's start with creating a knowledge base that provides insights from private development repositories containing architectural designs and documents, API specifications, etc. Now let's set up the NetApp MCP server that developer installed on their local machine. Let's switch to the Amazon Q Developer extension in BS code and configure the MCP server settings. The MCP server is now ready to use and can help the developer with insights from our knowledge base. For example, the developer asks about NetApp's Workload Factory rest API endpoints and what functions it provides. The MCP server uses the connected knowledge base to search for the API documentation and explains the API URL structure and available operations. This saves the developer valuable time to find and read through the internal API specification documentation. The natural language interface provides an easy and efficient virtual assistant to help the developer ask follow-up questions and even write code. Now let's ask Amazon Q Developer to write Python code to create a new knowledge base and add data source to it. Within minutes, the developer has the needed code sample to get started. What typically days hours and perhaps days can now be accomplished in minutes. As we saw in this demo, with NetApp's MCP server for knowledge bases, you can now arm your developers with deep insights from your private knowledge repositories to boost development velocity and developer productivity.