What does lucide-icons-mcp expose to AI tools?
It exposes MCP tools: search_icons, search_categories, get_icon_usage_examples, list_icons_by_category, list_all_categories, get_icon_info, and list_all_icons.
@SeeYangZhi
Basic information
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.
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"lucide-icons-mcp": {
"command": "bun",
"args": [
"run",
"build"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
lucide-icons-mcp is a Model Context Protocol (MCP) server that exposes Lucide React icons as resources and tools for LLMs and agentic applications. It enables AI coding assistants to search, browse, and retrieve usage information for over 1,500+ Lucide icons.
Install globally via npm or use npx to run the server. Run in HTTP mode (default port 3000) with npx lucide-icons-mcp or in stdio mode with npx lucide-icons-mcp --stdio. Configure it in Claude Desktop by adding a mcpServers entry pointing to the command.
It exposes MCP tools: search_icons, search_categories, get_icon_usage_examples, list_icons_by_category, list_all_categories, get_icon_info, and list_all_icons.
You need Git, and either Bun or Node.js installed. The project uses Bun for development but can run via npx or global npm install.
Yes. Add a configuration entry in your Claude Desktop config file (e.g., `claude_desktop_config.json`) using npx or pointing to the build output.
Yes. Use `--stdio` flag for stdio mode; without it the server runs in HTTP mode (defaults to port 3000).
The project includes a web crawler that automatically extracts icon information from the Lucide website, ensuring current data and categories.
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