# MCP Frontend Analyzer

> Use this tool when you need to analyze and optimize the performance, quality, and accessibility of your React and Next.js frontend projects. It solves problems related to slow page loads, poor code quality, and non-compliant SEO metadata, providing outputs such as audit reports and optimization recommendations through a comprehensive interface. By using the MCP Frontend Analyzer, you can identify and fix issues to improve user experience and search engine rankings.

Canonical page: https://skillsregistry.net/skills/samet-berkay-taskin-mcp-frontend-analyzer  
JSON: https://api.skillsregistry.net/v1/skills/samet-berkay-taskin-mcp-frontend-analyzer

## Description

A comprehensive MCP server for frontend analysis. It provides Google Lighthouse audits, code quality checks, SEO metadata verification, accessibility analysis, and bundle optimization for React and Next.js projects.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/rarnat1l3z)
- **Repository:** <https://github.com/Samet-Berkay-Taskin/MCP-Frontend-Analyzer>

## 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": "samet-berkay-taskin-mcp-frontend-analyzer"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/samet-berkay-taskin-mcp-frontend-analyzer` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/samet-berkay-taskin-mcp-frontend-analyzer/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