The Future of Agentic AI: Why MCP Moved to the Linux Foundation

This panel marks a turning point for agentic AI.

As AI systems move beyond single prompts and models toward long-running agents, the hardest problem is no longer intelligence — it’s connection.

How do agents safely access real systems?
How do they communicate across tools, vendors, and models?
How do you govern that at enterprise scale?

That’s the problem Model Context Protocol (MCP) was designed to solve.

In this conversation, leaders from Anthropic, OpenAI, Block, and the Linux Foundation explain why MCP is moving to a neutral home — and why open standards are essential for the next phase of AI adoption.

This isn’t about shipping another framework.
It’s about creating shared infrastructure for agentic systems — infrastructure that must be:
• vendor-neutral
• secure by design
• governed in the open
• capable of evolving as real usage emerges

The panel draws clear parallels to earlier technology shifts:
• Linux as the foundation for operating systems
• Kubernetes as the foundation for cloud-native computing
• MCP as a foundational layer for agent-to-system and agent-to-agent communication

You’ll hear why:
• Agentic AI is the “last mile” of AI adoption
• Protocols must be pre-competitive to unlock real markets
• Reference implementations (like Goose) matter for proving standards in practice
• Enterprise realities like authentication, security, and governance can’t be hand-waved away

If you’re evaluating MCP, building agentic systems, or thinking about how AI actually ships inside real organizations, this conversation is essential context.