# PureRef MCP

> Use this tool when you need to create visual reference boards and review reports from local images and ad-review data. It enables AI assistants to generate PureRef reference boards, supporting moodboards and A4-style creative review reports, to streamline creative workflows and facilitate collaborative decision-making. Ideal for use cases requiring organized visual references and data-driven review processes.

Canonical page: https://skillsregistry.net/skills/quazi1622-pureref-mcp  
JSON: https://api.skillsregistry.net/v1/skills/quazi1622-pureref-mcp

## Description

Enables AI assistants to create PureRef reference boards from local images and ad-review data, supporting moodboards and A4-style creative review reports.

## 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:** media
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/jw0uosxlfs)
- **Repository:** <https://github.com/quazi1622/PureRef-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": "quazi1622-pureref-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/quazi1622-pureref-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/quazi1622-pureref-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