# GitHub Next.js Optimizer MCP Server

> Use this tool when you need to optimize Next.js and React projects hosted on GitHub, as it analyzes repositories and provides recommendations on clean architecture, SOLID principles, and performance patterns to improve overall quality and efficiency. It solves problems related to code maintainability, scalability, and performance, and accepts GitHub repository inputs to generate actionable optimization reports as output. Ideal for use in development workflows where best practices and high-performance code are crucial.

Canonical page: https://skillsregistry.net/skills/gianbaeza-next-js-optimizer-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/gianbaeza-next-js-optimizer-mcp-server

## Description

Analyzes GitHub repositories and provides advanced optimization recommendations for Next.js and React projects, covering clean architecture, SOLID principles, performance patterns, and best practices.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** version-control
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/j4uw8ukptp)
- **Repository:** <https://github.com/GianBaeza/Next.js-Optimizer-MCP-Server>

## 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": "gianbaeza-next-js-optimizer-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/gianbaeza-next-js-optimizer-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/gianbaeza-next-js-optimizer-mcp-server/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