# io.github.rxolve/artscii

> Use this tool when you need to generate visual representations, such as diagrams, charts, and ASCII art, to enhance text-based outputs. It solves the problem of limited visual expression in text-based interfaces, providing 81 arts, 100 kaomoji, and other graphical elements. With text inputs, it produces corresponding ASCII art outputs, ideal for use cases where simple visuals can convey information more effectively.

Canonical page: https://skillsregistry.net/skills/io-github-rxolve-artscii  
JSON: https://api.skillsregistry.net/v1/skills/io-github-rxolve-artscii

## Description

LLMs can't draw. This MCP can. 81 arts + 100 kaomoji + diagrams + charts.

## Trust

- **Trust score (0–1):** 0.90
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 0.3.1
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-28

## Source

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

## 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-rxolve-artscii"
    }
  }
}
```

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