# LightScout MCP

> Use this tool when you need to analyze and optimize website performance with Core Web Vitals, identifying areas for improvement and ensuring a seamless user experience. It solves problems related to slow loading times, poor responsiveness, and inadequate visual stability, providing actionable insights through four key tools: URL analysis, comparison, threshold checking, and site crawling. The tool accepts URLs and threshold values as inputs and outputs detailed performance reports, making it ideal for use cases involving website optimization and performance monitoring.

Canonical page: https://skillsregistry.net/skills/bobbyrgoldsmith-light-scout-mcp  
JSON: https://api.skillsregistry.net/v1/skills/bobbyrgoldsmith-light-scout-mcp

## Description

Core Web Vitals analysis powered by Lighthouse. Four tools: analyze a URL, compare two URLs, check against thresholds, or crawl an entire site. Works with Claude Code, Cursor, Windsurf, and any MCP-compatible AI tool.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/xp3ltyhl8h)
- **Repository:** <https://github.com/bobbyrgoldsmith/lightscout-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": "bobbyrgoldsmith-light-scout-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/bobbyrgoldsmith-light-scout-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/bobbyrgoldsmith-light-scout-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