广告合作
MCP.so
登录
I

Icon MCP Server

@agentic-ph

代码仓库

基本信息

分类

其他

传输方式

stdio

作者

agentic-ph

提交者

John Dave Decano

关于 Icon MCP Server

A powerful Model Context Protocol (MCP) server that provides unified search capabilities across multiple icon libraries with fuzzy search, intelligent caching, and comprehensive filtering options.

#icon#icons

Icon MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "icon-search": {
      "command": "npx",
      "args": [
        "icon-mcp"
      ],
      "env": {
        "CACHE_TTL": "300000",
        "DEFAULT_SEARCH_LIMIT": "50",
        "LOG_LEVEL": "info"
      }
    }
  }
}

Icon MCP Server 工具

5

Search for icons by name across all or specific libraries with fuzzy matching

Get detailed information about a specific icon

Get a list of all available icon libraries

Get detailed information about a specific library

Find icons by category or tag with fuzzy matching

概览

What is Icon Mcp?

Icon Mcp is a Model Context Protocol (MCP) server that provides unified search across multiple icon libraries with fuzzy search, intelligent caching, and comprehensive filtering options. It is designed for developers integrating icon search into MCP‑compatible clients like Claude Desktop and VS Code.

How to use Icon Mcp?

Install globally via npm install -g icon-mcp, build the icon index with npm run build-icons, then start the server with npm start. Configure the server in your MCP client’s JSON (e.g., claude_desktop_config.json) by setting the command to npx icon-mcp and optionally customizing environment variables like CACHE_TTL or FUZZY_THRESHOLD.

Key features of Icon Mcp

  • Multi‑library search across Bootstrap Icons, Feather, Octicons, and Tabler Icons
  • Fuzzy search with typo tolerance using Fuse.js
  • Intelligent caching with configurable TTL and LRU eviction
  • Filtering by library, style, category, and tags
  • NPM package integration for automatic icon library management
  • Full TypeScript type safety and excellent developer experience

Use cases of Icon Mcp

  • Quickly find icons by name across multiple libraries during UI development
  • Integrate icon search into AI‑powered code assistants or chat tools
  • Build custom icon pickers with fuzzy matching and category filtering
  • Automate icon discovery for design‑to‑code workflows

常见问题

1

Which icon libraries are supported?

Bootstrap Icons, Feather, Octicons, and Tabler Icons are supported out of the box. Additional libraries can be added via the provider system.

2

How do I add a custom icon library?

Add the library as an NPM dependency, create a provider class extending `BaseNpmProvider`, register it in the provider index, and rebuild the icon index with `npm run build-icons`.

3

How can I configure caching behavior?

Set the `CACHE_TTL` (default 300 000 ms) and `CACHE_MAX_SIZE` (default 1000) environment variables in your MCP client configuration.

4

What MCP tools are available?

The server exposes `search_icons`, `get_icon`, `list_libraries`, `get_library_info`, and `search_by_category` tools. `search_icons` supports parameters like `query`, `libraries`, `fuzzy`, `limit`, and `threshold`.

5

How do I verify the connection is working?

After configuration, check that the server appears in your client’s server list, test the `list_libraries` tool, and look for connection messages in the logs.

评论

其他 分类下的更多 MCP 服务器

P

PickFu MCP

PickFu MCP is a Model Context Protocol (MCP) server that connects AI assistants, developers, marketers, product managers, and AI agents to PickFu's consumer research platform. It enables users to create surveys, conduct

Health by Dr Brad

Dr Brad Stanfield

Health by Dr Brad works out a health plan from your own results: which screening is due at your age, and evidence-based suggestions, each with the reason and the published guideline or study behind it. Your record is one

Screenpipe

screenpipe

YC (S26) | Open Computer History | Continuously record your company computer work, map your workflows, help you find work worth automating, and power your agents' context

22.0K

YOUB

Connect your AI assistant to your own YOUB endurance training account. Read recorded activities with full analysis, planned sessions, race goals, wellness (HRV, sleep, resting HR) and your athletic profile. Create or mov

Lemon.io

lemon-io

Request dedicated senior developers to work on your project, write job descriptions, and prep technical interviews — all without leaving your Claude chat. Just describe what you need, and Lemon.io MCP does the rest. 1–3

广告合作