Yottaa have announced the launch of its Model Context Protocol (MCP) server. Yotta says this makes it the first eCommerce-focused performance vendor to offer AI-native access to web performance data for developers, engineers, and digital leaders. The company is a leading cloud platform for accelerating and optimising eCommerce experiences, today
The new MCP server is designed to bring real-time, structured performance data into developer workflows. The solution enables AI agents and IDEs to query live production data. Transforming how teams identify and act on site performance issues, from diagnosing third-party script impact to monitoring Core Web Vitals and JavaScript errors.
According to Gaetan Marmasse, Chief Technology Officer at Yottaa. “MCP is more than just a new API. It is a fundamental shift in how developers can access and act on performance intelligence. For the first time, web performance data is accessible directly from within code editors and AI assistants. This is achieved without jumping through dashboards or manual analysis. It’s fast, AI-ready, and built with real-world eCommerce problems in mind.”
Purpose-built for developer workflows
Yottaa’s MCP server supports natural language queries from compatible AI clients like Claude, Cursor, and VS Code Copilot. With minimal configuration, developers can ask questions like:
- “Which third-party apps are slowing down checkout?”
- “Are there anomalies in cart load time today?”
- “What JavaScript errors are impacting the product detail page?”
Each query returns structured responses in JSON format, optimized for reasoning by AI models or automated workflows.
“eCommerce brands are increasingly adopting AI-powered tools. There is growing pressure to move beyond static dashboards,” said Darin Archer, Chief Product Officer at Yottaa. “With our MCP server, we’re giving developers a direct line to their site’s performance health. This eliminates guesswork and enables real-time optimisation at the speed of code.”
Solving today’s performance challenges
eCommerce teams today are burdened with opaque dashboards, manual investigations, and delayed diagnostics when site performance degrades. Yottaa’s MCP server replaces this friction with instant insights and verified diagnostics, delivering value across three key areas:
- Third-Party Impact Analysis: Automatically ranks all of a website’s third-party vendors by precise millisecond contribution to page load times. This empowers teams to hold vendors accountable and prioritise optimisation.
- Anomaly Detection & Diagnostics: Uses machine learning to detect performance regressions, JavaScript errors, and behavioural anomalies, including trend context, root cause, and severity.
- Conversion Intelligence: For customers with Yottaa’s conversion tracking, the MCP server connects performance metrics like LCP and INP directly to conversion rates and revenue. This enables ROI-based performance decisions.
Designed for eCommerce
While other observability players have launched general-purpose MCP endpoints, Yottaa is the first to deliver a vertically specialized version for eCommerce.
Unlike generic telemetry feeds, Yottaa’s tools are AI-native by design. Schema descriptions, intelligent defaults, and context-aware filtering that guides large language models (LLMs) to deliver relevant responses. The MCP server is available for all Yottaa Web Performance Cloud customers, with no additional setup required beyond standard beacon instrumentation.
Earlier in the year, Yottaa launched its Web Performance Services. The fully managed solution maximises website speed, enhances security, and reduces operational complexity for online brands and retailers. This new service delivers a seamless, high-performance infrastructure designed exclusively for eCommerce brands.
Enterprise Times: What this means for businesses.
This announcement from Yottaa is significant for eCommerce because it potentially redefines how web performance data is accessed and used by developers, engineers, and digital leaders. Traditionally, eCommerce teams have relied on static dashboards and manual processes to diagnose and resolve site performance issues. However, this approach can be slow and inefficient. MCP changes this by providing real-time, structured performance data that is directly accessible within code editors and AI-powered tools. This eliminates the need to switch between different platforms or manually analyse data.
With MCP, developers can make natural language queries—such as identifying which third-party apps are slowing down checkout. Alternatively, detecting anomalies in cart load times—receiving instant, actionable insights. This should help streamline workflows and speed up the identification and resolution of issues. Moreover, it should ensure that website performance is optimised at the speed of code. For eCommerce brands, where every second of load time can impact conversion rates and revenue, having rapid access to performance intelligence is crucial.
As eCommerce sites become more complex and the adoption of AI tools increases, MCP’s AI-native, context-aware design helps performance insights are both relevant and actionable. This functionality for eCommerce sets Yottaa’s MCP apart from generic observability solutions. This makes it a vital tool for online retailers looking to maintain fast, reliable, and optimised digital storefronts.
