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

By PulseAugur Editorial · [1 sources] ·

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

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 →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

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

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Tool
This is a product feature update that enhances existing tooling for developers.
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product, infra
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150 days old
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COVERAGE [1]

  1. AWS Machine Learning Blog TIER_1 English(EN) · 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.

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