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AWS Bedrock AgentCore Runtime enables serverless custom MCP proxies for AI agents

Amazon Bedrock AgentCore Runtime now supports serverless custom MCP proxies, allowing organizations to integrate existing compliance and control logic. This feature enables the deployment of custom logic as a standalone MCP server on AgentCore Runtime, offering greater portability than Lambda interceptors. The solution provides a programmable layer for sanitizing tool inputs, generating audit trails, and redacting sensitive data before requests reach backend systems. AI

Summary written by gemini-2.5-flash-lite from 1 source. How we write summaries →

IMPACT Enables organizations to integrate custom compliance and control logic into AI agent tool interactions without refactoring.

RANK_REASON This is a product feature update that enhances existing tooling for developers.

Read on AWS Machine Learning Blog →

AWS Bedrock AgentCore Runtime enables serverless custom MCP proxies for AI agents

COVERAGE [1]

  1. AWS Machine Learning Blog TIER_1 · Nizar Kheir ·

    Run custom MCP proxies serverless on Amazon Bedrock AgentCore Runtime

    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.