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Product Launch
Source:AWS ML Blog

How AgentCore Gateway Supports the MCP 2026-07-28 Spec

30s Read#MCP#HTTP#OAuth#OpenID Connect

AI Executive Summary

The Model Context Protocol has released its major 2026-07-28 specification, transitioning the framework to a stateless architecture that scales smoothly on standard HTTP infrastructure.

Concurrently, Amazon Bedrock AgentCore updated its Gateway to support this new protocol version via an explicit opt-in mechanism.

Why It Matters

Strategic Takeaway

Crucially, this shifts AI agent infrastructure away from session-pinned bottlenecks toward horizontal cloud-native scaling. As a result, deploying agentic tools no longer requires complex sticky load balancers.

Multi-Vector Implications

  • TECHNICALArchitecture must eliminate protocol-level sessions, specifically when scaling remote endpoints across standard HTTP infrastructure.
  • MARKETEnterprise SaaS tools gain competitive moats only if they integrate stateless MCP specifications seamlessly into managed gateways.
  • GOVERNANCECompliance frameworks require robust OAuth 2.0 and OpenID Connect adoption, specifically when managing governed extension lifecycles.

Strategic Outlook

12-18M Horizon

Over the next 12 months, enterprise AI infrastructure will fully deprecate legacy handshakes in favor of stateless agentic routing.

Referenced Coverage & Sources

Full Story Intelligence

Read the full coverage below for original reporting, technical benchmarks, and complete primary source details.

How AgentCore Gateway supports the MCP 2026-07-28 spec
AWS ML Blog•Jul 28, 2026
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Technical & Market Glossary Definitions
View Full Glossary →
AI ConceptAgentic Systems

Model Context Protocol

Model Context Protocol (MCP) is an open-source standard created by Anthropic that enables AI applications and agents to connect securely to local or remote data sources, developer tools, and API services via a standardized protocol.

Read Model Context Protocol Guide
AI ConceptAgentic Systems

Agentic AI

Agentic AI refers to artificial intelligence systems designed to act autonomously, make decisions, plan workflows, and execute tasks without constant human intervention. Unlike traditional models that only respond to queries, agentic systems use an agentic loop to perceive environments, reason over goals, use tools, and iterate to achieve outcomes.

Read Agentic AI Guide
Frequently Asked Questions & Summary Briefing
The Model Context Protocol (MCP) published its 2026-07-28 specification, the largest revision since launch: MCP is now stateless, with a governed extensions. Reported by AWS ML Blog, this update represents a key development in the Enterprise Product Launch category.
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