Run custom MCP proxies serverless on Amazon Bedrock AgentCore Runtime
AWS just made it easier to deploy AI agents with built-in governance—no infrastructure headaches.

Why it matters
AWS Bedrock's AgentCore Runtime now supports serverless MCP proxies, enabling enterprises to run custom AI agents with governance controls and observability without managing underlying infrastructure. This lowers the barrier for deploying production agent workloads at scale.
The key facts
5 to knowAmazon Bedrock AgentCore Runtime supports serverless MCP proxy deployment
Enables custom governance, controls, and observability layers
Serverless architecture eliminates infrastructure management overhead
Aligned with enterprise security policy requirements
Published April 29, 2026
Go to the source
AWS Machine Learning Blogaws.amazon.com
Publisher excerpt: This post shows you how to deploy a serverless MCP proxy on Amazon Bedrock AgentCore Runtime that gives you a programmable layer to implement proper governance, controls, and observability aligned with an organization's security policies.