# Raven

> Raven — ai-ravenmcp-raven-mcp. Use this tool when you need to streamline UI design for AI-generated interfaces, leveraging principles, patterns, and design tokens to create consistent and branded user experiences. Raven solves problems of inconsistent design, inefficient content creation, and lack of brand cohesion in AI-generated UI. It takes in design requirements and outputs tailored UI designs, content, and brand guidelines.

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

## Description

Design intelligence for coding agents: audits, design systems, and a taste profile agents consult.

## Trust

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

## Facts

- **Version:** 1.3.3
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-09-28

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.ravenmcp%2Fraven-mcp)
- **Repository:** <https://github.com/rhinocap/raven-mcp>

## Use it

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

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-ravenmcp-raven-mcp"
    }
  }
}
```

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