No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by ruslanlap · MCP Server · ★ 59
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is pagespeed-insights-mcp safe to install? View the security audit →
PageSpeed Insights MCP Server [](https://agent-too
| Stars | 59 |
| Forks | 9 |
| Language | TypeScript |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 69.0686235346307/100 |
| Last Updated | 2026-09-14 |
| Created | 2025-08-28 |
| Platforms | browser, claude-code, cli, codex, gemini, mcp, node |
| Est. Tokens | ~21k |
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pagespeed-insights-mcp is Six-tool MCP server for Google PageSpeed Insights & Chrome UX Report APIs. Analyze, compare, and optimize web performance directly through Claude, Cursor, or any MCP-compatible AI client.. It is categorized as a MCP Server with 59 GitHub stars.
pagespeed-insights-mcp is primarily written in TypeScript. It covers topics such as claude, claude-code, claude-desktop.
You can find installation instructions and usage details in the pagespeed-insights-mcp GitHub repository at github.com/ruslanlap/pagespeed-insights-mcp. The project has 59 stars and 9 forks, indicating an active community.
pagespeed-insights-mcp is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to pagespeed-insights-mcp on Agent Skills Hub include mcp-fusion, notion-mcp-server, ask-user-questions-mcp. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: