Yottaa launches MCP server to bring real-time performance intelligence to e-commerce

Yottaa’s MCP server delivers live performance insights for developers and digital teams.

Yottaa launches MCP server to bring real-time performance intelligence to e-commerce

Yottaa, a US-based cloud platform for e-commerce performance optimization, has launched its Model Context Protocol (MCP) server—making it the first ecommerce-focused vendor to offer AI-native access to web performance data for developers and digital teams. The new MCP server is designed to deliver real-time, structured performance insights directly into developer workflows, enabling AI agents and code editors to query live production data and act on site performance issues without relying on static dashboards.

This launch aims to help e-commerce brands and their technical teams move faster, diagnose issues more accurately, and connect performance metrics directly to business outcomes like conversion rates and revenue.

Short on time?

Here’s a quick look at what’s inside:

What is Yottaa’s MCP server, and why does it matter?

Yottaa’s MCP server is a new developer-first capability that allows AI agents, code editors, and digital assistants to access live e-commerce performance data through natural language queries. Unlike traditional dashboards, the MCP server delivers structured, AI-ready responses in real time, making it easier for teams to identify and resolve site performance issues.

This is the first time e-commerce brands can connect their web performance data directly to AI-powered tools, enabling faster diagnostics and more responsive optimization.

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How the MCP server changes e-commerce performance workflows

The MCP server is purpose-built for developer and engineering workflows. Key features include:

  • Natural language queries: Compatible with AI clients like Claude, Cursor, and VS Code Copilot, allowing developers to ask questions such as “Which third-party apps are slowing down checkout?” or “What JavaScript errors are impacting the product detail page?”
  • Structured, actionable responses: Returns data in JSON format, optimized for AI models and automated workflows.
  • Instant diagnostics: Replaces manual investigations and delayed reporting with real-time insights and verified diagnostics.

By integrating directly into the tools developers already use, Yottaa’s MCP server eliminates the need for manual dashboard checks and accelerates the process of identifying and fixing performance issues.

What marketers and developers can do with AI-native performance data

For e-commerce marketers and technical teams, the MCP server unlocks several practical benefits:

  • Third-party impact analysis: Automatically ranks all website vendors by their contribution to page load times, helping teams prioritize optimization and hold partners accountable.
  • Anomaly detection and diagnostics: Uses machine learning to spot performance regressions, JavaScript errors, and behavioral anomalies, providing context and root cause analysis.
  • Conversion intelligence: Connects performance metrics like LCP (Largest Contentful Paint) and INP (Interaction to Next Paint) directly to conversion rates and revenue, enabling ROI-based performance decisions.

With AI-native access to performance data, teams can move from reactive troubleshooting to proactive optimization—improving both user experience and business results.

Why real-time, AI-ready insights are the next step for e-commerce

Yottaa’s launch of the MCP server reflects a broader shift in e-commerce: as brands adopt more AI-powered tools, the need for real-time, actionable data is growing. Static dashboards and manual investigations are no longer enough to keep up with the pace of digital commerce.

By making performance intelligence accessible to both developers and AI agents, Yottaa is helping e-commerce teams close the gap between technical performance and business outcomes. The MCP server is available now for all Yottaa Web Performance Cloud customers, with no extra setup required.

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