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The Agentic AI Foundation updates MCP with a fully stateless architecture, a hardened authentication model, a formal 12-month deprecation policy, and more

The Model Context Protocol, the open standard that has quietly become the connective tissue between AI agents and the world's software …

VentureBeat Michael Nuñez

Context & Ripple Effects

MCP began as Anthropic’s open-source way to connect AI assistants with data sources, then moved toward broad platform adoption as Microsoft added MCP support to Windows and OpenAI added remote MCP server support.

The protocol’s stewardship also shifted from a small Anthropic-led project toward an industry-standard effort under the Linux Foundation, alongside the formation of the Agentic AI Foundation for open agent standards. This update tests whether that governance can make interoperability dependable enough for production use.

First-order effects

  • MCP implementers gain a stateless design and a clearer security baseline through hardened authentication, changing how they build and operate compatible agent-to-software connections.
  • The formal 12-month deprecation policy gives tool, client, and server maintainers a defined window to plan migrations as the protocol evolves.

Second-order effects

  • Platforms that expose MCP servers will need to track compatibility and authentication changes more deliberately, while developers can weigh MCP integrations against a more predictable upgrade path.
  • Security and lifecycle management become more important differentiators for agent tooling, not just support for the protocol itself.

Third-order effects

  • If widely adopted, foundation-led versioning and security rules could turn MCP from a connection format into shared operational infrastructure for multi-vendor agents.
  • The pattern points toward agent ecosystems competing above common protocols—on controls, tooling, and application value—while governance bodies set the interoperability floor.

The trend: Agentic AI is moving from early integration experiments toward shared, governed infrastructure with explicit security and compatibility guarantees.

Discussion

  • @claudedevs @claudedevs on x
    Before, running a remote MCP server meant managing session state, which limited where you could run it. Now that MCP is stateless, you can deploy on serverless and edge infrastructure, or scale horizontally behind any load balancer. [video]
  • @claudedevs @claudedevs on x
    MCP 2026-07-28 is live and it's the largest update to the protocol since launch. MCP is now stateless, making it easier to deploy and scale remote servers. https://claude.com/...
  • @mattzcarey Matt Carey on x
    Happy MCP spec day!!! 2026-07-28 brings stateless by default, multi-round trip elicitations, cimd auth by default and a bunch more cool stuff. I made a benchmark to track how much of the spec is in the weights :) https://mcpbench.mattzcarey.com/ ...
  • @rseroter Richard Seroter on x
    Did you catch that big update to the MCP specification? The “headline change” is that MCP is now stateless. No handshake, no session ID. https://blog.modelcontextprotocol.io/ ... News: https://www.infoworld.com/... https://thenewstack.io/... https://venturebeat.com/...
  • @cheatyyyy @cheatyyyy on x
    stateless mcps hmm
  • @omarsar0 Elvis on x
    Great updates to MCP. It's maturing fast! With MCP now being stateless, it's going to make it even easier to adopt across applications. It should also be easier to manage and deploy MCP servers. Cool stuff!
  • @rohiththakurwar Rohith on x
    so anthropic is trying to revive dead mcp while heavily pushing skills. major bottlenecks of mcp's is the massive LLM context hogging which severely deteriorate the Agents Capbalilities. skills are dynamic and context can be loaded on-demand without degrading performance.