Organizations need solutions for people and AI agents to securely collaborate through a single interface to the organization’s data and take actions across enterprise applications to improve productivity. The ability of an AI agent to securely and seamlessly connect with organizational knowledge bases, enterprise applications, and other AI agents isContinue Reading
Today, we’re excited to announce the Amazon Bedrock AgentCore Model Context Protocol (MCP) Server. With built-in support for runtime, gateway integration, identity management, and agent memory, the AgentCore MCP Server is purpose-built to speed up creation of components compatible with Bedrock AgentCore. You can use the AgentCore MCP server forContinue Reading
Machine learning (ML) has evolved from an experimental phase to becoming an integral part of business operations. Organizations now actively deploy ML models for precise sales forecasting, customer segmentation, and churn prediction. While traditional ML continues to transform business processes, generative AI has emerged as a revolutionary force, introducing powerfulContinue Reading
Organizations can optimize their migration and modernization projects by streamlining the containerization process for legacy applications. With the right tools and approaches, teams can transform traditional applications into containerized solutions efficiently, reducing the time spent on manual coding, testing, and debugging while enhancing developer productivity and accelerating time-to-market. During containerizationContinue Reading
IT teams face mounting challenges as they manage increasingly complex infrastructure and applications, often spending countless hours manually identifying operational issues, troubleshooting problems, and performing repetitive maintenance tasks. This operational burden diverts valuable technical resources from innovation and strategic initiatives. Artificial intelligence for IT operations (AIOps) presents a transformative solution,Continue Reading
Customers are increasingly looking to use the power of large language models (LLMs) to solve real-world problems. However, bridging the gap between these LLMs and practical applications has been a challenge. AI agents have appeared as an innovative technology that bridges this gap. The foundation models (FMs) available through AmazonContinue Reading
To verify that everything is working correctly, generate a simple serverless function. Start the Amazon Q CLI chat interface and verify the output shows MCP servers being loaded and initialized: The message in the preceding screenshot might not match what you see for your use case, especially when your MCPContinue Reading
Data science teams working with artificial intelligence and machine learning (AI/ML) face a growing challenge as models become more complex. While Amazon Deep Learning Containers (DLCs) offer robust baseline environments out-of-the-box, customizing them for specific projects often requires significant time and expertise. In this post, we explore how to useContinue Reading
This post is cowritten with Siddhant Waghjale and Samuel Barry from Mistral AI. Model Context Protocol (MCP) is a standard that has been gaining significant traction in recent months. At a high level, it consists of a standardized interface designed to streamline and enhance how AI models interact with externalContinue Reading
Generative AI has been moving at a rapid pace, with new tools, offerings, and models released frequently. According to Gartner, agentic AI is one of the top technology trends of 2025, and organizations are performing prototypes on how to use agents in their enterprise environment. Agents depend on tools, andContinue Reading
