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SeeYangZhi

lucide-icons-mcp

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A Model Context Protocol (MCP) server exposing Lucide icons as resources and tools for LLMs and agentic applications. Built with Bun and the MCP TypeScript SDK.

10 stars TypeScriptAI & Machine Learning Updated Nov 4, 2025

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lucide-icons-mcp

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A Model Context Protocol (MCP) server exposing Lucide React icons as resources and tools for LLMs and agentic applications. Built with Bun and the MCP TypeScript SDK.

What is Lucide?

Lucide is a beautiful & consistent icon toolkit made by the community. It's an open-source icon library that provides over 1,500+ carefully crafted icons in a single, consistent style. Originally forked from Feather Icons, Lucide has grown into one of the most popular icon libraries for modern web development.

What is MCP?

The Model Context Protocol (MCP) is a standard for AI tools to request specific context from sources outside their main training data.

This MCP server allows AI coding assistants and other agentic applications to access information about Lucide React icons, enabling better assistance with icon search, discovery, and implementation.

Features

  • ๐Ÿ” Icon Search: Search through 1,500+ Lucide icons by name or category
  • ๐Ÿ“‚ Category Browsing: List icons by categories (Design, Communication, Media, etc.)
  • ๐Ÿ’ก Usage Examples: Get React/JSX code examples for any icon
  • ๐Ÿ”ง Icon Information: Detailed information about each icon
  • ๐Ÿš€ MCP Integration: Ready for Claude Desktop and other MCP clients
  • ๐ŸŒ Dual Mode: HTTP server or stdio-based MCP server
  • ๐Ÿ“Š Comprehensive Coverage: All Lucide icons with proper JSX usage

Prerequisites

Getting Started (Development)

1. Clone the repository

bash
git clone https://github.com/SeeYangZhi/lucide-icons-mcp.git
cd lucide-icons-mcp

2. Install Bun (if you don't have it)

Refer to the official Bun installation guide.

After installation, restart your terminal and check:

bash
bun --version

3. Install dependencies

bash
bun install

4. Build the project

This compiles the TypeScript source to JavaScript in the `build` directory.

bash
bun run build

Usage

HTTP Mode

You can run the HTTP server using `npx`:

bash
npx lucide-icons-mcp

This starts the HTTP server (defaults to port 3000).

Or install globally:

bash
npm install -g lucide-icons-mcp

Then run:

bash
lucide-icons-mcp

Stdio Mode

bash
npx lucide-icons-mcp --stdio
# or if installed globally
lucide-icons-mcp --stdio

Local Development

There are two main ways to run the MCP server:

1. HTTP Mode

Suitable for clients that support communication over HTTP.

For development (using Bun):

bash
bun run start
# or directly
bun run src/entry.ts

2. Stdio Mode

Often used for direct integration with tools like Claude Desktop or the MCP Inspector.

For development (using Bun):

bash
bun run src/entry.ts --stdio

Configuration with AI Tools

Example: Claude Desktop

To use this MCP server in Claude Desktop:

1. Open your Claude Desktop configuration file:

bash
code ~/Library/Application\ Support/Claude/claude_desktop_config.json

2. Add the server to the `mcpServers` section:

Option A: via `npx` (Recommended):

json
{
  "mcpServers": {
    "lucide-icons": {
      "command": "npx",
      "args": ["lucide-icons-mcp", "--stdio"]
    }
  }
}

Option B: Pointing directly to the build output:

json
{
  "mcpServers": {
    "lucide-icons": {
      "command": "node",
      "args": ["/ABSOLUTE/PATH/TO/lucide-icons-mcp/build/entry.js", "--stdio"]
    }
  }
}

3. Save the file and restart Claude Desktop.

4. You should now see the "lucide-icons" server available in Claude's tools panel.

Tools Available (MCP)

This MCP server exposes the following tools to AI coding assistants. Each icon can belong to multiple categories, providing flexible search and discovery capabilities.

1. search_icons

  • Description: Search for Lucide icons by name or category. Returns icons with their complete category arrays.
  • Parameters:
    • `query` (string): Search term for icon name or category
    • `category` (optional string): Filter by specific category
    • `limit` (optional number): Maximum results to return
  • Returns: Array of icons with `name` and `categories` (string array)

2. search_categories

  • Description: Search for icon categories by category name using partial matching
  • Parameters:
    • `query` (string): Search term for category name
    • `limit` (optional number): Maximum results to return
  • Returns: Array of categories with `name` and `iconCount`

3. fuzzy_search_icons

  • Description: Fuzzy Search for icons from lucide by icon name
  • Parameters:
    • `query` (string): Search term for icon
    • `limit` (optional number): Maximum results to return
  • Returns: Array of icons with `name` and `categories` (string array)

4. fuzzy_search_categories

  • Description: Fuzzy Search for icon categories by category name
  • Parameters:
    • `query` (string): Search term for category name
    • `limit` (optional number): Maximum results to return
  • Returns: Array of categories with `name` and `iconCount` (string array)

5. get_icon_usage_examples

  • Description: Get usage examples for a Lucide React icon by the exact name
  • Parameters:
    • `name` (string): Search term for icon
  • Returns: React/JSX usage examples for a specific Lucide icon

6. list_all_icons_by_category

  • Description: List all icons in a specific category
  • Parameters:
    • `category` (string): Category name to list icons for
    • `limit` (optional number): Maximum results to return

7. list_all_categories

  • Description: List all available icon categories with their icon counts

Example Usage

Here's how an AI tool might use this MCP server:

Example 1: Finding Icons

User: "Find me icons related to ArrowRight"

AI tool calls `search_icons`:

json
{
  "query": "ArrowRight",
  "limit": 5
}

Response: Lists icons like `ArrowRight`

Example 2: Getting Usage Examples

User: "Show me how to use the ArrowRight icon"

AI tool calls `get_icon_usage_examples`:

json
{
  "name": "ArrowRight"
}

Response:

jsx
import { ArrowRight } from "lucide-react";

function Example() {
  return (
    
  );
}

Example 3: Browsing Categories

User: "What design-related icons are available?"

AI tool calls `search_categories`:

json
{
  "query": "design"
}

Then calls `list_icons_by_category`":

json
{
  "category": "Design",
  "limit": 10
}

Icon Categories

Lucide icons are organized into categories such as:

  • Accessibility
  • Accounts & access
  • Animals
  • Arrows
  • Brands
  • Buildings
  • Charts
  • Communication
  • Connectivity
  • Cursors
  • Design
  • Coding & development
  • Devices
  • Emoji
  • File icons
  • Finance
  • Food & beverage
  • Gaming
  • Home
  • Layout
  • Mail
  • Mathematics
  • Medical
  • Multimedia
  • Nature
  • Navigation
  • Notification
  • People
  • Photography
  • Science
  • Seasons
  • Security
  • Shapes
  • Shopping
  • Social
  • Sports
  • Sustainability
  • Text formatting
  • Time & calendar
  • Tools
  • Transportation
  • Travel
  • Weather

Testing MCP Locally with Inspector

You can test the MCP server locally using the MCP Inspector.

First, ensure the project is built:

bash
bun run build

Then launch the Inspector:

bash
npx @modelcontextprotocol/inspector node ./build/entry.js --stdio

This opens the Inspector interface for interactive testing of your MCP server.

Development Scripts

  • `bun run dev`: Starts the server in HTTP mode for development
  • `bun run dev:stdio`: Starts the stdio MCP server for development
  • `bun run build`: Compiles TypeScript to JavaScript (output in `build/`)
  • `bun run lint`: Lints the codebase using ESLint
  • `bun run lint:fix`: Automatically fixes linting issues
  • `bun run crawl`: Crawls Lucide website to update icon data
  • `bun run pre-build`: Crawls data, builds icon metadata, and fixes linting

Data Sources

This project includes a web crawler that automatically extracts icon information from the Lucide website, ensuring up-to-date icon data and categories.

Resources

License

This project is licensed under the MIT License. See LICENSE for details.

This project references icons from Lucide (https://lucide.dev/), which are

licensed under their ISC License:

ISC License

Copyright (c) for portions of Lucide are held by Cole Bemis 2013-2022 as part

of Feather (MIT). All other copyright (c) for Lucide are held by Lucide

Contributors 2022.

Permission to use, copy, modify, and/or distribute this software for any

purpose with or without fee is hereby granted, provided that the above

copyright notice and this permission notice appear in all copies.

THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL WARRANTIES WITH

REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY

AND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY SPECIAL, DIRECT,

INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM

LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR

OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR

PERFORMANCE OF THIS SOFTWARE.

Frequently asked questions

What is lucide-icons-mcp?

lucide-icons-mcp is A Model Context Protocol (MCP) server exposing Lucide icons as resources and tools for LLMs and agentic applications. Built with Bun and the MCP TypeScript SDK.

How do I install lucide-icons-mcp?

Open the GitHub repository and follow its README. Most MCP servers are added to your client's MCP config, then called by your agent.

Is lucide-icons-mcp open source?

Yes โ€” it is hosted on GitHub at https://github.com/SeeYangZhi/lucide-icons-mcp and has 10 stars.

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