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Servers/Code Execution/GTmetrix MCP
Code ExecutionOfficial
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GTmetrix MCP

Get web performance tests and data in your AI workflow

0 starsUpdated Aug 28, 2026

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Overview

If you’re an advanced user who already understands MCP concepts and want to quickly connect GTmetrix and start using practical workflows, refer to our setup guide. Learn what the GTmetrix MCP does and how to utilize it in your AI workflow. GTmetrix now has an MCP server that lets you connect your preferred AI tools directly to GTmetrix, enabling AI-assisted performance testing and analysis. Website performance optimization is not a one-off where you run a test, fix issues manually, and forget about it. More and more teams and organizations are working to build intelligent workflows that can analyze, act, and improve continuously.

Installation

Installation instructions are not available yet.

Configuration

Configuration example is not available yet.

Capabilities

  • Run on-demand performance tests

    Ask your AI to start GTmetrix tests across specified locations, devices, and connection speeds, e.g., "Run tests on example.com from Seattle using an iPhone 16 on LTE."

  • Analyze performance reports

    Have your AI interpret metrics like TTFB and Web Vitals to explain bottlenecks and suggest fixes, such as render-blocking resources or LCP slowdowns.

  • Compare historical trends

    Instruct your AI to retrieve past reports and compare performance over time to flag regressions or validate improvements across monitored pages.

  • Generate optimization recommendations

    Ask your AI for actionable next steps, like image compression or cache policy fixes, based on the latest test results.

  • Automate CI/CD validation

    Use the MCP to run tests after deployments, block releases on performance drops, and generate team reports within your pipeline.

Tags

  • performance
  • monitoring
  • web-research

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