How I Integrated WebMCP into My Developer Portfolio (And Turned It into an AI-Callable Agent)
Most developer portfolios are still static digital brochures. With the web is increasingly being explored by something else: AI agents . Browser agents, LLM-powered tools, and desktop AI assistants are starting to navigate websites on behalf of users. When one of these agents encounters a traditional developer portfolio, however, it has very little to work with beyond what a human sees. It may…
In recent years, the landscape of developer portfolios has shifted from static digital brochures to AI-driven agents. Traditional portfolios struggle to provide meaningful information to AI agents, which often have to scrape the DOM, infer meaning from CSS selectors, or interpret screenshots to answer simple questions about a developer's experience. To address this issue, the author decided to experiment with building an AI-ready portfolio using Angular 22 and the emerging WebMCP (Web Model Context Protocol) standard.
The result is an interactive web application that exposes structured information about the author's skills and projects, allowing AI agents or developers with just browser DevTools to discover the capabilities of the portfolio and interact with it in real-time. This article outlines the process of building such a portfolio using WebMCP and explores how it changes the way we think about developer portfolios.
To demonstrate the functionality of the AI-integrated portfolio, the author provides a code snippet that can be executed in Chrome/Firefox DevTools to search for specific technical competencies or ask natural language questions about the developer's experience. By adopting standards like the Model Context Protocol, portfolios can become more agent-readable, resilient, and adaptable to future AI-driven research methods.
Written by urgent.news from Dev.to's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
