Greg Isenberg · Video summary
WebMCP clearly explained (and how to make $$)
AI agents are about to become a new kind of visitor on the internet, and billions of dollars of wealth will change hands in the process. This article explores WebMCP, a new Google and Microsoft experimental feature that allows websites to expose cleaner actions for AI agents.
Watch on YouTube ↗Key takeaways
- 🤖AI agents are about to become a new kind of visitor on the internet, and billions of dollars of wealth will change hands in the process, but the current internet isn't designed for them.00:00
- 🛠️WebMCP (Web Machine Comprehensible Pages) is an experimental feature from Google and Microsoft that allows websites to expose clear, typed actions for AI agents, transforming a website from a maze into a toolbox.00:35
- 🎯The new conversion question for the agent-driven internet is: "Can an AI agent finish the job?" Websites optimized for WebMCP will gain a significant advantage.01:59
- 🔑WebMCP allows agents to inherit the browser session's authenticated state, enabling conditional tool availability (e.g., different actions for logged-in users) without complex token management.07:37
- 🤝WebMCP addresses the user desire to bring their own AI agents to products, fostering an open ecosystem where users control their AI tools and their accumulated context across different web services.09:12
- 📈WebMCP is particularly well-suited for compatibility-driven commerce (e.g., complex product configurations), config-heavy SaaS admin, and regulated industries where API keys are a non-starter.19:14
Chapters
- 0:00Introduction to AI Agents and WebMCP
- 2:29What WebMCP Does
- 3:19Why WebMCP Matters
- 3:47WebMCP in Action: Espresso Machine Demo
- 15:09The Evolution of Agent-App Interaction
- 30:40Where WebMCP Fits: Key Industries and Use Cases
- 35:03Startup Ideas: WebMCP Conversion Agency & Agent Mystery Shopper
- 43:30Getting Started with WebMCP
The digest
The internet as we know it is on the cusp of a major transformation. With millions of AI agents poised to browse and buy online, the current web infrastructure, not designed for such interactions, presents a significant challenge and a massive opportunity. This is where WebMCP comes in – a new, experimental feature from Google and Microsoft that aims to make websites "agent-ready."
The Problem: A Web Not Built for Bots
Currently, when an AI agent interacts with a website, it has to essentially "figure out" the page like a human would. This involves scanning the entire Document Object Model (DOM), interpreting visual cues, and guessing where to click or what actions to take. This process is inefficient, slow, and often fragile, leading to broken workflows and a suboptimal experience for AI agents. The core issue is that websites are designed for human interaction, not for programmatic access by intelligent agents. This creates a bottleneck in the burgeoning AI economy, where billions of dollars are expected to change hands through agent-driven transactions.
Keep reading in The Digest
The full 5-minute article, 6 more sections, and every new episode from Greg Isenberg and the creators you follow.
- WebMCP: The Toolbox Approach
- Why WebMCP Matters: The New Conversion Question
- The Advantages of WebMCP
- Where WebMCP Fits: Identifying Key Opportunities
- Startup Ideas for the Agent-Ready Web
- Conclusion: Embrace the Experimental
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