# react-profiler-mcp

> Use this tool when you need to optimize React application performance, as it streams live profiler data to AI agents for analysis and provides actionable fixes for slow components. It solves problems related to performance bottlenecks and slow rendering, and accepts React profiler data as input, outputting specific optimization suggestions. Ideal for use during development and testing phases to identify and resolve performance issues.

Canonical page: https://skillsregistry.net/skills/umarhassankhan929-react-profiler-mcp  
JSON: https://api.skillsregistry.net/v1/skills/umarhassankhan929-react-profiler-mcp

## Description

Streams live React profiler data to AI agents, enabling them to analyze performance and suggest specific, actionable fixes for slow components.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/pi07fogjtn)
- **Repository:** <https://github.com/UmarHassanKhan929/react-profiler-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": "umarhassankhan929-react-profiler-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/umarhassankhan929-react-profiler-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/umarhassankhan929-react-profiler-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