Web MCP (Model Context Protocol) is a new standard proposed by Google and Microsoft that lets AI agents interact with your website programmatically — like an API that AI agents can discover automatically. It's already shipping in Chrome 146. The businesses that implement it first will be the ones AI agents recommend to users. This is as significant as the mobile-first shift was in 2015.

Google hasn't confirmed Web MCP as a direct ranking factor yet — but the pattern is clear. Mobile-friendly became a ranking factor. HTTPS became a ranking factor. Core Web Vitals became a ranking factor. Every major web standard Google has backed has eventually influenced search rankings. The question isn't if, it's when.

Early adopters in e-commerce, SaaS, and fintech are already experimenting with Web MCP. Our scanner shows that adoption is accelerating — the number of sites with MCP endpoints has grown 40% month over month. The window to gain a first-mover advantage is closing.

Web-MCP offers a free compliance scanner to audit any site instantly. For full implementation, our Pro plan starts at $49/month and includes schema generation, endpoint building, and monitoring. Most sites can be fully MCP-ready in under an hour — no backend team or code changes required.

No. Web-MCP works as an additive layer on top of your existing site — no redesign, no migration, no downtime. We generate MCP-compatible endpoint definitions that sit alongside your current pages. Your human visitors see nothing different. AI agents see everything they need.

This is the most important question business owners aren't asking yet. When AI agents can call functions directly on competing sites, the sites without MCP endpoints become invisible. Web-MCP gives you control over what agents can do — you define the tools, set the parameters, and track every interaction.

Any agent that supports the protocol — including ChatGPT, Gemini, Claude, Perplexity, Grok, and hundreds of custom AI agents. The protocol is open and co-authored by Google and Microsoft, so adoption is accelerating across the entire ecosystem.

Security is built into the protocol. You explicitly define which tools are available, what parameters they accept, and what permissions they require. Web-MCP never stores your raw content. All communications are encrypted, and you control exactly what AI agents can access. We also provide monitoring for suspicious agent behavior.