PageSpeed Insights
This MCP server, developed by enemyrr, provides integration with Google PageSpeed Insights for web performance analysis. Built with TypeScript and leveraging the Model Context Protocol SDK, it offers a tool for analyzing webpage performance, including loading experience metrics and improvement suggestions. The implementation focuses on delivering concise, actionable insights about web page speed and user experience. By connecting AI models with Google's performance analysis tools, this server enables scenarios such as automated performance auditing, optimization recommendations, and comparative analysis across multiple web pages. It's particularly useful for developers, SEO specialists, and AI assistants focused on web performance optimization.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-28.
Scan details: Circle-IR · 2026-09-28 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- monitoring
- Source
- PulseMCP
- Repository
- github.com/enemyrr/mcp-server-pagespeed
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve PageSpeed Insights from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.