How to Build Mini-Apps for ChatGPT with MCP

In this lecture, Anton Saburov, co-founder of Kone VC, introduces the vision behind mini-apps and the MCP framework inside the modern LLM ecosystem. You’ll learn how official ChatGPT mini-apps are created, how distribution works across multiple apps and audiences, and why this new interface represents the next generation of the internet. Anton also explains the two main directions of the industry—developer tools and integrations—and how creators, companies, and API providers can use mini-apps to reach users, automate workflows, and unlock new opportunities.

This lecture explains how different types of businesses and creators can benefit from mini-apps built on top of the MCP framework. Anton Saburov describes how data providers can monetize their content, how API companies can integrate their services directly into mini-apps, and how SaaS and B2B products can deliver new functionality to their customers inside the ChatGPT ecosystem. The session also highlights why creators are a key focus, thanks to their built-in audiences and traffic, and how official mini-apps become a powerful distribution channel for them.

In this lecture, Anton Saburov walks through the evolution of the internet to explain why mini-apps and LLMs are emerging as the next major shift. He revisits the early web of static pages and simple portals, the rise of Web 2.0 with social media and user-generated content, and the brief blockchain-driven phase of Web 3.0. This historical overview leads into the current transformation—the LLM era—where AI systems redefine how people search, consume content, and interact with digital products. This context sets the stage for understanding why mini-apps matter today.

This lecture introduces the concept of “context media,” a new type of digital experience that lives directly inside LLMs such as ChatGPT, Gemini, and Claude. Anton Saburov explains how the shift to an AI-first interface changes how people search, consume content, and interact with creators and products. With hundreds of millions of daily users and billions of queries, LLMs have become one of the largest attention hubs online.

Anton highlights how mini-apps unlock a richer experience compared to traditional platforms like YouTube: instead of manually searching and jumping between videos, users can receive structured answers, time-coded video segments, supporting text, and links—all inside a single chat. This new interaction model makes information easier to access and creates powerful opportunities for creators, businesses, and developers who want to reach this massive audience.

This lecture breaks down the technical workflow behind mini-apps and explains how user queries are transformed into precise, context-aware answers. Anton Saburov shows how the MCP server stores videos, subtitles, logic, and other data, and how the LLM uses this content to generate structured responses.

You’ll see how mini-apps match user intent with the right pieces of information—videos, time-coded segments, text summaries, links, podcasts, and more. Anton also demonstrates how long-form content such as podcasts can be indexed so the app can deliver the exact moment users are searching for.

The lecture concludes with practical examples of dynamic content delivery, including personalized affiliate links, relevant tool recommendations, and API-powered responses, all integrated seamlessly into the LLM interface.

This lecture focuses on the practical advantages mini-apps provide for developers and product teams. Anton Saburov explains how building inside an LLM interface removes the need for separate websites, apps, logins, or authentication systems—users already exist inside ChatGPT, Claude, Grok, and other models.

You’ll learn why mini-apps don’t require your own AI engine or token spending, since the LLM handles all computation using the user’s account. Anton also shows how a single API connection is enough to create a complete product experience, fully integrated with MCP and the CodeNVC ecosystem. The lecture ends with a simple diagram illustrating how your API connects to the mini-app network and how this setup can generate real revenue through built-in distribution and audience reach.

In this lecture, Anton Saburov explains what partners gain by joining the KoneVC ecosystem. He shows how your API or product connects into the mini-apps network and how this integration turns into real revenue thanks to the existing user base. You’ll learn why official ChatGPT mini-apps become powerful distribution tools as LLM platforms expand across 2025–2026, including future support for Claude and other providers.

Anton also highlights the advantages of tapping into KoneVC’s audience network, insights, and UX expertise, as well as the broader shift away from traditional social media toward LLM-native experiences. With payments, e-commerce, media, and interactions happening directly inside ChatGPT, mini-apps open a new channel for growth, monetization, and visibility in the emerging AI-first internet.

This lecture walks through a live demonstration of an official mini-app in action. Anton Saburov shows how a user query—such as asking for resources on affiliate marketing, business books, or branding—instantly returns structured results inside ChatGPT. The mini-app provides time-coded video segments, text summaries, and additional links, all pulled from the indexed content library.

Anton also explains how the app adapts the response based on context, delivering exactly the right video moment or topic segment instead of full videos the user has to search manually. This demo highlights the core value of context media: fast, precise, and interactive content delivery directly within the LLM interface.

In this lecture, Anton Saburov explains why building a mini-app is only half the story—the real question is how to distribute it. He shows how CodeNVC works with large influencers and creators, reaching audiences in the millions. These creators promote mini-apps directly in their content, turning visibility into real traffic and user growth.

Anton also describes how mini-apps seamlessly support affiliate links, cross-app linking, API referrals, and contextual recommendations. Each response inside the mini-app becomes a distribution opportunity, helping partners grow their audience, attract new clients, and strengthen partnerships. This lecture demonstrates how marketing, context, and LLM-native placement come together to form a powerful promotional engine.

This lecture covers practical examples of how different businesses can use mini-apps to drive revenue and deliver value. Anton Saburov shows how B2B SaaS products benefit from contextual sales: when a user asks how to create a beautiful presentation, the mini-app can instantly recommend the client’s tool.

He then explains how API providers can integrate their services directly into the mini-app ecosystem. The system matches user queries with the right API actions, helping users complete tasks while generating paying customers through token usage.

The lecture also highlights a third scenario—AI SaaS companies—where KoneVC builds official mini-apps, distributes them through its network, and delivers both users and revenue. These examples illustrate how mini-apps act as a dynamic channel for discovery, activation, and monetization.