# Icon Visual

> Use this tool when you need to efficiently manage and render SVG icons in visual grids, solving problems like icon search, comparison, and styling across projects. It takes inputs from inline strings, URLs, local files, or Iconify IDs and outputs rendered icons, supporting agent pipelines for iterative editing and style matching. Ideal for use cases requiring visual icon manipulation and rendering, such as graphic design, UI prototyping, and digital content creation.

Canonical page: https://skillsregistry.net/skills/n0isy-icon-visual  
JSON: https://api.skillsregistry.net/v1/skills/n0isy-icon-visual

## Description

Enables vision-capable AI agents to search, retrieve, compare, and render SVG icons onto visual grids. Combines local filesystem access with a remote rendering API to resolve SVGs from inline strings, URLs, local files, or Iconify IDs. Supports agent pipelines for visual search and selection, iterative icon editing, and style matching across projects.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/n0isy-icon-visual)
- **Repository:** <https://github.com/n0isy/brain-mcp-icon-visual>

## 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": "n0isy-icon-visual"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/n0isy-icon-visual` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/n0isy-icon-visual/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