Building an AI Agent Honeypot & Lead Engine with Model Context Protocol (MCP) & FastAPI

The way people discover and buy products online is undergoing a massive paradigm shift. Instead of humans manually browsing e-commerce websites and filling out lead forms, autonomous AI agents (such as ChatGPT Shopping, Google Gemini, Perplexity Shopping, and Claude) are now researching, comparing prices, and reserving deals on behalf of users.

To tap into this agentic economy, we built MCP Collector: an open-standard gateway powered by FastAPI, FastMCP 2.x, and Google Cloud Run that lets autonomous AI agents discover catalogs, invoke structured tools over HTTP/SSE, and stream qualified buyer leads straight into a real-time operator dashboard.

Here is a deep-dive into how it works and how you can build one.

System Architecture

Building an AI Agent Honeypot & Lead Engine with Model Context Protocol (MCP) & FastAPI

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