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This video shows you how to build an MCP server for Retrieval Augmented Generation (RAG) Knowledge Base, and use the MCP server in your AI Agent. In this this video you will write functions to perform Bedrock Knowledge Base retrieval (semantic retrieval) and re-ranking. Then you will encapsulate them as tools in an MCP server that you will use in an AI Agent. Building MCP servers helps you encapsulate specific capabilities that other AI Agent builders can discover and use the tools exposed by your MCP server to accelerate and their agentic AI applications rapidly with high quality. Download the code from: http://go.aws/46FzaFS Subscribe to AWS: https://go.aws/subscribe Sign up for AWS: https://go.aws/signup AWS free tier: https://go.aws/free Explore more: https://go.aws/more Contact AWS: https://go.aws/contact Next steps: Explore on AWS in Analyst Research: https://go.aws/reports Discover, deploy, and manage software that runs on AWS: https://go.aws/marketplace Join the AWS Partner Network: https://go.aws/partners Learn more on how Amazon builds and operates software: https://go.aws/library Do you have technical AWS questions? Ask the community of experts on AWS re:Post: https://go.aws/3lPaoPb Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—use AWS to be more agile, lower costs, and innovate faster. #Bedrock #AI Agent #MCP #Strands #AWS #AmazonWebServices #CloudComputing