# Hugeicons

> Use this tool when you need to efficiently manage and utilize icons across multiple platforms, as it provides integrated search, retrieval, and usage guides for the Hugeicons icon library, accepting queries and returning relevant icons and implementation resources. It solves problems related to icon discovery, consistency, and integration, making it ideal for developers and designers working on cross-platform projects. By providing a unified interface for icon management, Hugeicons MCP Server streamlines the development process, saving time and effort.

Canonical page: https://skillsregistry.net/skills/xiaobenyang-com-1777316659866627  
JSON: https://api.skillsregistry.net/v1/skills/xiaobenyang-com-1777316659866627

## Description

Hugeicons MCP Server is a TypeScript based server that provides integrated tools and resources for the Hugeicons icon library, supporting icon search, retrieval, and usage guides for multiple platforms.

## Trust

- **Trust score (0–1):** 0.96
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/wwbkty91as)
- **Repository:** <https://github.com/xiaobenyang-com/1777316659866627>

## 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": "xiaobenyang-com-1777316659866627"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/xiaobenyang-com-1777316659866627` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/xiaobenyang-com-1777316659866627/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