One Year of MCP — with David Soria Parra and AAIF leads from OpenAI, Goose, Linux Foundation

December 27, 2025

AI Summary

5 min read

🎙️ The Voices & The Context

The Format: This in-studio podcast episode blends casual host banter with a deep technical interview on the MCP protocol's evolution, transitioning into a panel discussion on the new Agentic AI Foundation (AAIF) launch, delivering an enthusiastic, collaborative energy focused on AI agent standards. This is primarily an interview with host discussion elements.
The Key Players:
- Halassio (host, founder of Kernel Labs): Drives the conversation with probing questions on MCP development and future visions.
- Swix (editor of Laden Space): Provides light commentary and transitions.
- David Soria Para (Anthropic, MCP co-creator and lead): Central guest, sharing technical deep dives; later joins panel.
- Panel Guests: Jim Zemlin (Linux Foundation CEO, facilitator), Nick Cooper (OpenAI, protocols head), Brad (Block principal engineer, Goose author).

🗝️ Key Themes & Topics

The episode recaps MCP's explosive growth, technical iterations, and shift to neutral governance under AAIF, emphasizing open standards for AI agents amid rapid industry evolution.

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What you'll learn

1 **(00:00) 🎙️ Introduction: David Soria Para (Anthropic, MCP Co-Creator & Lead Maintainer)**
2 **(01:15) MCP One-Year Growth & Adoption Recap**
3 **(02:02) Protocol Evolution: Remote Servers & Authentication**
4 **(03:35) Agentic AI Foundation Formation**
5 **(06:42) MCP Spec Releases Deep Dive**
6 **(10:43) Agent Authentication & Transport Learnings**
7 **(15:37) Protocol Governance & Collaboration**

+ Full timestamped outline available in the app

Show Notes

One year ago, Anthropic launched the Model Context Protocol (MCP)—a simple, open standard to connect AI applications to the data and tools they need. Today, MCP has exploded from a local-only experiment into the de facto protocol for agentic systems, adopted by OpenAI, Microsoft, Google, Block, and hundreds of enterprises building internal agents at scale. And now, MCP is joining the newly formed Agentic AI Foundation (AAIF) under the Linux Foundation, alongside Block's Goose coding agent, with founding members spanning the biggest names in AI and cloud infrastructure.

We sat down with David Soria Parra (MCP lead, Anthropic), Nick Cooper (OpenAI), Brad Howes (Block / Goose), and Jim Zemlin (Linux Foundation CEO) to dig into the one-year journey of MCP—from Thanksgiving hacking sessions and the first remote authentication spec to long-running tasks, MCP Apps, and the rise of agent-to-agent communication—and the behind-the-scenes story of how three competitive AI labs came together to donate their protocols and agents to a neutral foundation, why enterprises are deploying MCP servers faster than anyone expected (most of it invisible, internal, and at massive scale), what it takes to design a protocol that works for both simple tool calls and complex multi-agent orchestration, how the foundation will balance taste-making (curating meaningful projects) with openness (avoiding vendor lock-in), and the 2025 vision: MCP as the communication layer for asynchronous, long-running agents that work while you sleep, discover and install their own tools, and unlock the next order of magnitude in AI productivity.

We discuss:

The one-year MCP journey: from local stdio servers to remote HTTP streaming, OAuth 2.1 authentication (and the enterprise lessons learned), long-running tasks, and MCP Apps (iframes for richer UI)
Why MCP adoption is exploding internally at enterprises: invisible, internal servers connecting agents to Slack, Linear, proprietary data, and compliance-heavy workflows (financial services, healthcare)
The authentication evolution: separating resource servers from identity providers, dynamic client registration, and why the March spec wasn't enterprise-ready (and how June fixed it)
How Anthropic dogfoods MCP: internal gateway, custom servers for Slack summaries and employee surveys, and why MCP was born from "how do I scale dev tooling faster than the company grows?"
Tasks: the