# icon-search-mcp

> Use this tool when you need to perform unified fuzzy searches across multiple icon libraries, such as Bootstrap, Feather, Octicons, and Tabler, with features like intelligent caching and comprehensive filtering options. It solves problems of icon discovery and management by providing a single interface for searching and retrieving icons from various libraries. Ideal for use cases where efficient icon searching and organization are crucial, with inputs including search queries and library selections, and outputs including relevant icon results.

Canonical page: https://skillsregistry.net/skills/johndavedecano-icon-mcp  
JSON: https://api.skillsregistry.net/v1/skills/johndavedecano-icon-mcp

## Description

A Model Context Protocol server that enables unified fuzzy searching across multiple icon libraries (Bootstrap, Feather, Octicons, Tabler) with intelligent caching and comprehensive filtering options.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/lng1iqhm2v)
- **Repository:** <https://github.com/johndavedecano/icon-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": "johndavedecano-icon-mcp"
    }
  }
}
```

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