AI and ML
Now happy to run on K8s and conventional networks, with an easier-to-live-with lifecycle
The Agentic AI Foundation, part of the Linux Foundation, has released an update to the Model Context Protocol (MCP) that aims to help enterprises adopt AI-based automation.Open-sourced by Anthropic in November 2024, MCP provides a way for AI applications (agents) based on models like GPT-5.6 Sol or Claude Opus 5 to connect to existing data sources, tools, or other applications. It defines how content is exchanged in a client-server architecture."The new release is MCP’s most important since remote MCP first launched over a year ago," wrote David Soria Parra, a member of technical staff at Anthropic and co-inventor of MCP, in a blog post. "It is a leap in serving scalable MCP servers and takes all the lessons learned over the last 18 months to provide a robust foundation for MCP’s future."
The latest version of the specification does away with the legacy stateful architecture, making it more like HTTP services where network requests do not need to retain the state of the session.
"Historically, running MCP at scale required sticky routing or shared state to maintain continuity across sessions," explained Caitie McCaffrey, a Microsoft software engineer and core MCP maintainer, in a blog post. "This made large-scale production deployments complex to implement and operate even when the capabilities being exposed were stateless."The revised protocol changes the underlying architecture to eliminate the overhead of managing session state, which allows organizations to run MCP servers behind standard load balancers on existing Kubernetes and DevOps tooling.The version 2026-07-28 release also includes a Specification Feature Lifecycle and Deprecation Policy, because large companies want clear roadmaps and timelines when it comes to software changes.
