Letting AI Interface with your App with MCP — Kent C Dodds (AI column)
I saw something interesting. speech World's Fair AI conference from Kent C. Dodds, a Utah-based web developer, educator and entrepreneur. He is the creator of several educational platforms: EpicWeb.dev, EpicAI.pro, EpicReact.dev and TestingJavaScript.com. He is actively involved in the development community as the author of hundreds of popular open source npm packages, instructor on egghead.io and Frontend Masters platforms, Microsoft MVP and speaker at numerous conferences. Previously, he worked for large companies, including PayPal, where he represented the company on the TC-committee.39Responsible for standardizing JavaScript.
Below are the key ideas of the speech 1. Evolution of user interaction Kent begins with the thesis that we are entering a new era of user interaction, where everyone will have their own “Jarvis” – an AI assistant capable of performing real-world tasks. He shows an excerpt from Iron Man, where Tony Stark interacts with Jarvis, analyzing the capabilities of this AI assistant: compiling databases, generating a user interface, accessing public records, analyzing data and creating action plans.
2. Three phases of AI assistant development Kent identifies three stages in the evolution of AI technology: - Phase. 1 - It started about. 3 Years ago, ChatGPT was introduced with the ability to answer questions, but requiring manual context entry and copying of results. - Phase. 2 Then host applications began to give AI access to additional context through integration. (Search engines, calendars, Slack, etc.)But these integrations remained limited to the capabilities of large companies.
- Phase. 3 It started with the Model Context Protocol. (MCP)A standard protocol that allows AI assistants to interact with any system or service.
3. Model Context Protocol MCP It is an open standard developed by Anthropic in November. 2024 years. The protocol solves a fundamental problem of integrations: instead of having to create separate connectors for each combination of an AI application and a data source, MCP provides a universal interface. The MCP architecture includes three components:
4. Assistant demo Kent demonstrates how MCP works by creating a Claude Desktop log entry using three MCP servers: Locationator - to determine the current location Weather server – to obtain current weather conditions EpicMe - for authentication and work with the journal Demonstration shows how AI can dynamically use different services, authenticate through OAuth 2.1Create and manage data, and format responses in a user-friendly way.
To summarize, Kent believes that MCP represents a fundamental shift in how users interact with technology. Users will no longer be limited to the browser interface and complex search queries – they will be able to naturally formulate tasks, and AI will not only understand intentions, but also perform specific actions. This transformation means a shift from the “information search” paradigm to the “task execution” paradigm. Instead of teaching users to formulate the right search queries, the technology adapts to the natural way human communication works. According to the author, we are only one quality user interface from the realization of the dream of a personal Jarvis for each user.
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