This new standardized interface allows developers to analyze, transform, and deploy production-ready AI agents directly in their preferred development environment.
Get started with AgentCore faster and more easily with one-click installation that integrates Agentic IDEs like Kiro and AI coding assistants (Claude Code, Cursor, and Amazon Q Developer CLI). Use natural language to iteratively develop your agent, including transforming agent logic to work with the AgentCore SDK and deploying your agent into development accounts.
The open-source MCP server is available globally via GitHub.
To get started, visit the AgentCore MCP Server GitHub repository for documentation and installation instructions. You can also learn more about this launch in our blog. For more information about Amazon Bedrock AgentCore and it’s services visit the News Blog and explore in-depth implementation details in the AgentCore documentation. For pricing information, visit the Amazon Bedrock AgentCore Pricing.
Categories: marketing:marchitecture/artificial-intelligence,general:products/amazon-bedrock
Source: Amazon Web Services
