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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.

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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 know
  1. Amazon Bedrock AgentCore Runtime supports serverless MCP proxy deployment

  2. Enables custom governance, controls, and observability layers

  3. Serverless architecture eliminates infrastructure management overhead

  4. Aligned with enterprise security policy requirements

  5. 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.
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