---
title: "Google OKF + MCP : Explained The New \"AI Context Stack\""
source_url: https://youtu.be/bwQ70NMd57k
captured_at: 2026-06-30
author: "Cloud Codes"
contributor: "ชิดชนก"
platform: youtube
---
# Google OKF + MCP : Explained The New "AI Context Stack"

youtube video by **Cloud Codes**, 8m31s, uploaded 2026-06-26. URL: https://youtu.be/bwQ70NMd57k
Tags: model context protocol, open knowledge format, mcp anthropic, okf google cloud, ai context stack, what is mcp ai, ai agents system design, how to build ai agents, tool calling ai, llm memory, rag alternative, vector database vs mcp, claude mcp tutorial, cloud codes tech, sf, silicon valley, mcp server, mcp, okf, rag, vectorDB, open ai, google, mcp server tutorial, mcp ai, agentic ai, cursor mcp, c

## Shared in LINE Note+
- 2026-06-30 07:46 by ชิดชนก

## Description
Why do frontier AI models fail at internal company tasks? Because they lack the "AI Context Stack"—a combination of Google's Open Knowledge Format (OKF) and Anthropic's Model Context Protocol (MCP).

In this video, Cloud Codes breaks down the system design of modern AI agents. We explore the two major hurdles AI faces: the Knowledge Gap and the Access Gap. You will learn how Google's OKF solves AI memory by turning durable company knowledge into standardized Markdown graphs, and how Anthropic's MCP acts as a universal "USB-C port" that allows AI to securely pull live data and trigger actions. Finally, we show you exactly how OKF and MCP work together to replace brittle API integrations and traditional RAG pipelines.

If this helped you understand complex AI system design, subscribe to Cloud Codes for a new infrastructure breakdown every single week! Build, solve, deploy.

⏱️ Video Chapters 
00:00 - The Problem: AI models are smart but lack your company's institutional knowledge.
00:11 - The Solution: Context is two things - Knowledge and Access
00:23 - The two open standards solving this: OKF and MCP.
00:30 - Deep dive into OKF (Open Knowledge Format) for durable knowledge.
03:22 -