Lucide Icons MCP

The Lucide Icons MCP server turns the vast, community‑curated Lucide React icon library into a first‑class resource for AI assistants and agentic applications. By exposing over 1,500 icons as searchable, categorized resources, the server removes the friction of manual icon lookup and copy‑and‑paste code snippets. Developers who build UIs, design tools, or documentation generators can now let an LLM retrieve the exact icon name, category, and JSX usage in a single request, dramatically speeding up prototyping and reducing human error.

At its core, the server offers a lightweight HTTP or stdio‑based MCP interface. Clients such as Claude Desktop, MCP Inspector, or custom agent workflows can query the icon set by name or category, receive a structured response containing the icon’s SVG path data and recommended JSX wrapper, and even ask for usage examples. This tight integration means an assistant can suggest a “camera” icon while simultaneously generating the component with proper props, all without leaving the conversation.

Key capabilities include:

• Icon Search: A fast, indexed lookup that returns matching icons and metadata.
• Category Browsing: Easy enumeration of icons grouped under design, communication, media, and other semantic tags.
• Usage Examples: Ready‑to‑use React/JSX snippets for each icon, eliminating boilerplate.
• Comprehensive Coverage: Every Lucide icon is available with accurate SVG details, ensuring visual consistency across projects.
• Dual‑Mode Operation: Either a standalone HTTP server or an in‑process stdio server, giving flexibility for cloud deployments or local toolchains.

Typical use cases span from building dynamic icon pickers in web editors, to auto‑generating navigation menus based on semantic categories, or even creating accessibility labels that reference the correct icon name. In a design system pipeline, an AI assistant can query “list all media icons” and instantly supply the developer with a component library ready for integration. The server’s MCP compliance guarantees that any future tooling or LLM platform can plug in without custom adapters, making it a durable addition to the modern AI‑augmented development stack.