# svglab-mcp

> svglab-mcp — ottoman9-svglab-mcp. Use this tool when you need to generate clean SVG designs for app screens, icons, and illustrations. It solves the problem of creating scalable and editable vector graphics, providing a design engine for various AI models like Claude, ChatGPT, Codex, and Cursor. The tool takes design inputs and outputs SVG files, ideal for use cases requiring high-quality, customizable graphics.

Canonical page: https://skillsregistry.net/skills/ottoman9-svglab-mcp  
JSON: https://api.skillsregistry.net/v1/skills/ottoman9-svglab-mcp

## Description

SVG Lab MCP: give Claude, ChatGPT, Codex and Cursor a design engine for app screens, icons and illustrations as clean SVG.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** CC-BY-4.0
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/ottoman9/svglab-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": "ottoman9-svglab-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ottoman9-svglab-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ottoman9-svglab-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