Web MCP and Agent-Ready Architectures: Building Next.js Sites for AI Agents

What the Model Context Protocol Actually Does on the Web The Model Context Protocol (MCP) is an open standard, originally published by Anthropic, that defines how AI agents communicate with external data sources and tools. On the server side, MCP has been used extensively to connect language models to databases, APIs, and file systems. The web variant of MCP, often called Web MCP, extends this idea to the browser and to publicly accessible HTTP surfaces, enabling agents to read, reason over, and take action on web pages and web-hosted interfaces. When an AI agent navigates the web today without any MCP integration, it is essentially screen-reading. It receives rendered HTML, attempts to extract structure from what is visually presented, and uses heuristics to decide which elements are interactive. This approach works poorly at scale. Pages built for human visual perception carry enormous noise from a machine-reasoning perspective: decorative wrappers, layout scaffolding, duplicate navi