# page-speed-insights-mcp

> page-speed-insights-mcp — sivakumar-intoaec-page-speed-insights-mcp. Use this tool when you need to analyze web performance and optimize page speed, as it provides insights into scores, Core Web Vitals, opportunities, and diagnostics through a simple API interface, accepting website URLs as input and returning detailed performance reports as output. It solves problems related to slow webpage loading, poor user experience, and search engine ranking issues. Ideal for web developers, SEO specialists, and performance engineers looking to improve website efficiency and user engagement.

Canonical page: https://skillsregistry.net/skills/sivakumar-intoaec-page-speed-insights-mcp  
JSON: https://api.skillsregistry.net/v1/skills/sivakumar-intoaec-page-speed-insights-mcp

## Description

An MCP server that wraps the Google PageSpeed Insights API to analyse web performance, providing tools for scores, Core Web Vitals, opportunities, diagnostics, and batch analysis.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** api-integration
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/gdij41009y)
- **Repository:** <https://github.com/Sivakumar-intoaec/page-speed-insights-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "sivakumar-intoaec-page-speed-insights-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sivakumar-intoaec-page-speed-insights-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sivakumar-intoaec-page-speed-insights-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt