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React Perf

БесплатноНе проверен

An MCP server that runs parallel AI agents to analyze React components for performance issues, including unnecessary re-renders, memoization errors, bundle size

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Описание

An MCP server that runs parallel AI agents to analyze React components for performance issues, including unnecessary re-renders, memoization errors, bundle size problems, and profiling concerns.

README

An MCP server that runs parallel AI agents to analyze your React components for performance issues. Works in Claude Code, Cursor, or any MCP-compatible client.

How it works

Most code review tools send your code to a single LLM and ask for a general review. react-perf-mcp runs four specialized agents in parallel, each focused on a specific performance domain:

Agent Analyzes
RenderAgent Unnecessary re-renders, inline objects/functions, missing React.memo
MemoAgent Incorrect useMemo/useCallback usage, missing or over-memoization
BundleAgent Heavy imports, missing React.lazy, full-library imports vs named imports
ProfilerAgent Cascading re-renders, missing virtualization, state co-location, Suspense

All agents run in parallel and are aware of your project context (React version, bundler, Redux usage) and your team's custom rules via .react-perf.json.

Setup

npx react-perf-mcp init

The setup wizard will:

  1. Ask for your Anthropic API key
  2. Auto-detect Claude Desktop, Claude Code, and Cursor
  3. Write the MCP server config to the right place

Manual config

Add to your MCP client config (e.g. ~/.claude/settings.json for Claude Code):

{
  "mcpServers": {
    "react-perf": {
      "command": "npx",
      "args": ["react-perf-mcp"],
      "env": {
        "ANTHROPIC_API_KEY": "sk-ant-..."
      }
    }
  }
}

Usage

Once configured, talk to your MCP client naturally:

review the performance of src/components/Cart.tsx
analyze this component for re-render issues:
[paste code]

Available tools

Tool Description
review_file(path) Read a file from disk and analyze it
review_code(code, filePath?) Analyze a code snippet directly

Team config

Add a .react-perf.json to your project root to customize the agents' standards:

{
  "rules": {
    "memo": "always for list items and components receiving callbacks",
    "bundleLimit": "200kb per chunk",
    "lazyLoad": "required for routes and heavy third-party components"
  }
}

This is similar to .eslintrc — commit it so your whole team gets consistent suggestions.

Requirements

Contributing

Issues and PRs welcome. Each agent lives in src/agents/ — adding a new one is straightforward.

License

MIT

from github.com/cma0232/react-perf-mcp

Установка React Perf

У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.

▸ github.com/cma0232/react-perf-mcp

FAQ

React Perf MCP бесплатный?

Да, React Perf MCP бесплатный — установка в пару кликов через Unyly без оплаты.

Нужен ли API-ключ для React Perf?

Нет, React Perf работает без API-ключей и переменных окружения.

React Perf — hosted или self-hosted?

Self-hosted: сервер запускается локально на твоей машине командой из раздела установки.

Как установить React Perf в Claude Desktop, Claude Code или Cursor?

Открой React Perf на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.

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