React Perf
FreeNot checkedAn MCP server that runs parallel AI agents to analyze React components for performance issues, including unnecessary re-renders, memoization errors, bundle size
About
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:
- Ask for your Anthropic API key
- Auto-detect Claude Desktop, Claude Code, and Cursor
- 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
- Node.js 18+
- Anthropic API key (get one here)
Contributing
Issues and PRs welcome. Each agent lives in src/agents/ — adding a new one is straightforward.
License
MIT
Install React Perf in Claude Desktop, Claude Code & Cursor
unyly install react-perf-mcpInstalls into Claude Desktop, Claude Code, Cursor & VS Code — handles npx, uvx and build-from-source repos for you.
First time? Get the CLI: curl -fsSL https://unyly.org/install | sh
Or configure manually
Run in your terminal:
claude mcp add react-perf-mcp -- npx -y github:cma0232/react-perf-mcpFAQ
Is React Perf MCP free?
Yes, React Perf MCP is free — one-click install via Unyly at no cost.
Does React Perf need an API key?
No, React Perf runs without API keys or environment variables.
Is React Perf hosted or self-hosted?
Self-hosted: the server runs locally on your machine via the install command above.
How do I install React Perf in Claude Desktop, Claude Code or Cursor?
Open React Perf on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.
Related MCPs
Fetch
Web content fetching and conversion for efficient LLM usage.
AWS KB Retrieval
Retrieval from AWS Knowledge Base using Bedrock Agent Runtime.
by modelcontextprotocolSpring AI MCP Server
Provides auto-configuration for setting up an MCP server in Spring Boot applications.
llm-analysis-assistant
A very streamlined mcp client that supports calling and monitoring stdio/sse/streamableHttp, and can also view request responses through the /logs page. It also
by xuzexin-hzCompare React Perf with
Not sure what to pick?
Find your stack in 60 seconds
Author?
Embed badge for your README
Browse similar
All ai MCPs
