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pagespeed-insights-mcp

Connector Development Usable
Works inClaude Code Claude Cowork Claude Chat
Usable Scanned — metadata only

Identifies performance bottlenecks affecting user experience and SEO ranking without switching tools.

16-tool MCP server for the Google PageSpeed Insights and Chrome UX Report APIs. Lets Claude analyze, compare, and optimize web page performance — scores, Core Web Vitals, mobile vs desktop — without leaving the conversation.

47 starsMIT (commercial OK)FreeNo code needed
Usable rating — This tool is functional but has notable gaps. Review the evaluation notes below before deploying.

Identifies performance bottlenecks affecting user experience and SEO ranking without switching tools. Enables data-driven optimization decisions directly in Claude, reducing analysis overhead and improving page load metrics that impact conversion.

Engineering teams optimizing web applications for speed and frontend developers diagnosing performance regressions.

Claude Code Claude Cowork Claude Chat

https://github.com/ruslanlap/pagespeed-insights-mcp

By ruslanlap

How to Get It

Option 1: Claude Desktop AppOpen the Customize panel in the sidebar → browse connectors → search and add. Works in Claude Code, Claude Cowork, and Claude Chat.
Option 2: Paste into Claude CodeCopy the command below and paste it into a Claude Code conversation. Claude will run it for you.
Command
claude mcp add pagespeed-insights-mcp -- npx -y pagespeed-insights-mcp

Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.

Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.

First thing to try

Once it’s connected, paste this into Claude:

Analyze my website's performance score and get specific speed improvement recommendations
PrerequisitesNode.js (for npx); a Google API key for the PageSpeed Insights API (README: 'Getting Google API Key'), supplied via the MCP server configCostFree

Trust Signals Auto-scanned

Stars47Contributors8Last updated2026-08-10LicenseMIT (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-08-11 · scanner vattempted-no-data

Data & Access

Data processingPrompts sent to Anthropic API. Enterprise/Team plans exclude training.

Community Pulse Quiet

No community discussions found yet. This doesn't mean the tool isn't good — it may be new or serve a niche use case.

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

Scored from trust signals (evidence-eval-v1): 26 GitHub stars; contributors unknown; last commit 3d ago; license MIT.

Things to check

  • Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.

How to evaluate tools before deploying →

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation

Ease of Use
3/5
Versatility
2/5
Reliability
3/5
Security
3/5
Overall score2.75 / 5.00 UsableEvaluatedJun 2026
Scored from trust signals (evidence-eval-v1): 26 GitHub stars; contributors unknown; last commit 3d ago; license MIT.

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