Civil Engineer Builds AI-Queryable Portfolio Using MCP Server Without Writing Code

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Mikhail, a civil engineer with no coding background, has built a portfolio that functions as a Model Context Protocol (MCP) server, allowing AI tools like Claude and GPT to directly query his skills and project history. Rather than a static document, the portfolio responds to live questions such as skill-to-job-description matching and commit history lookups. The system is built on a single data source that powers three interfaces: a public website, an AI-accessible server, and a local development version. A live architecture simulator lets visitors stress-test real project models under failure scenarios, with measurable latency changes displayed in real time. The portfolio also includes a documented log of past mistakes, offering verifiable evidence of lessons learned rather than polished self-promotion.

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