# io.github.TKMD/reftrixmcp

> Use this tool when you need to analyze and optimize web design elements, such as layout, motion, and quality, to improve user experience and search engine visibility. It provides 26 MCP tools and utilizes semantic search via pgvector to identify areas for improvement. Ideal for web developers and designers seeking to refine their website's structure and functionality.

Canonical page: https://skillsregistry.net/skills/io-github-tkmd-reftrixmcp  
JSON: https://api.skillsregistry.net/v1/skills/io-github-tkmd-reftrixmcp

## Description

Web design analysis with 26 MCP tools: layout, motion, quality, semantic search via pgvector

## Trust

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

## Facts

- **Version:** 0.1.8
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-05-20

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.TKMD%2Freftrixmcp)
- **Repository:** <https://github.com/TKMD/ReftrixMCP>

## 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": "io-github-tkmd-reftrixmcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-tkmd-reftrixmcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-tkmd-reftrixmcp/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