All news with #agentcore tag

Amazon Bedrock AgentCore Runtime Adds Code Upload Options

🧰 Amazon Bedrock AgentCore Runtime now supports two deployment methods: direct code-zip upload and container-based deployment. Developers can use drag-and-drop code-zip uploads for rapid prototyping or opt for container images when they need custom runtime configurations and dependencies. The serverless, model-agnostic runtime is designed to scale for production while maintaining enterprise security. This capability is available across nine AWS Regions with consumption-based pricing and no upfront costs.

AWS Marketplace: Flexible Pricing and Deployment for Agents

🤖 AWS Marketplace now offers flexible pricing and simplified deployment for AI agents and tools, including contract-based and usage-based options for Amazon Bedrock AgentCore Runtime containers. The update also streamlines OAuth credential management via Quick Launch for API-based agents and allows supported remote MCP servers procured through Marketplace to be used as MCP targets on AgentCore Gateway. These enhancements reduce deployment complexity and give partners more pricing flexibility while improving scalability for customers.

Amazon Bedrock AgentCore GA: Secure Agent Platform

🔐 Amazon Bedrock AgentCore is now generally available, offering an agentic platform to build, deploy, and operate agents securely at scale without infrastructure management. It adds VPC support, extended eight-hour runtimes, session isolation, and initial Agent-to-Agent (A2A) protocol support. Identity, Gateway, and Observability features provide secure authorization, tool discovery, and CloudWatch/OTEL monitoring.

Open-Source MCP Server for Amazon Bedrock AgentCore

🚀 The open-source Model Context Protocol (MCP) Server is now available for Amazon Bedrock AgentCore, providing a standardized interface that enables developers to analyze, transform, and deploy production-ready AI agents within their preferred development environments. The release includes one-click installation and integrates with agentic IDEs like Kiro and AI coding assistants such as Claude Code, Cursor, and the Amazon Q Developer CLI. Developers can use natural language to iteratively build agents, convert agent logic to the AgentCore SDK, and deploy into development accounts. Documentation and installation instructions are published in the MCP Server GitHub repository, with additional implementation guidance and pricing details available in the AgentCore documentation and pricing resources.