# Optux

> Optux — ai-optux-mcp. Use this tool when you need to optimize your website's performance and user experience through data-driven decision making. Optux enables you to create and run A/B tests, patches, split tests, and feature flags, providing valuable insights to inform design and development choices. It accepts website data as input and outputs actionable metrics and recommendations to improve conversion rates and user engagement.

Canonical page: https://skillsregistry.net/skills/ai-optux-mcp  
JSON: https://api.skillsregistry.net/v1/skills/ai-optux-mcp

## Description

Create and run A/B tests, patches, split tests and feature flags on your website

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Updated:** 2026-09-19

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.optux%2Fmcp)

## Use it

MCP endpoint published by the skill: `https://mcp.optux.ai`

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": "ai-optux-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ai-optux-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ai-optux-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