# mcp-dicebear

> mcp-dicebear — pipeworx-io-mcp-dicebear. Use this tool when you need to generate custom avatars for your application, solving the problem of creating unique user representations. It takes input via the DiceBear API and outputs customized avatar images. Utilize it in contexts where personalized visuals are required, such as user profiles or gaming platforms.

Canonical page: https://skillsregistry.net/skills/pipeworx-io-mcp-dicebear  
JSON: https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-dicebear

## Description

MCP server for generating avatars via DiceBear API

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-25

## Source

- **Source listing:** [GitHub](https://github.com/pipeworx-io/mcp-dicebear)

## 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": "pipeworx-io-mcp-dicebear"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-dicebear` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-dicebear/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