Modern development teams use CI/CD pipelines, automated testing, feature flags, and AI-assisted coding to release new functionality multiple times per week. Yet despite all of these improvements, one part of the delivery process often remains surprisingly inefficient: website feedback.
Clients still send screenshots through email. Designers leave comments in Slack. QA engineers create tickets manually. Developers spend time figuring out where an issue actually occurred before they can even begin fixing it.
As AI becomes increasingly integrated into software development, another technology is beginning to reshape this workflow: the Model Context Protocol (MCP).
Rather than treating website feedback as disconnected conversations, MCP makes it possible for AI systems to understand the context surrounding a reported issue, helping development teams reduce unnecessary back-and-forth and resolve problems faster.
Why Website QA Still Creates Bottlenecks
