MCP Magic UI

MCP Magic UI is a dedicated Model Context Protocol server that bridges the gap between AI assistants and the rich ecosystem of Magic UI components. By tapping directly into the GitHub repository, it retrieves component definitions, metadata, and source code, then exposes them through a lightweight MCP API. This eliminates the need for developers to manually sift through GitHub or maintain local copies of the component library, enabling AI tools to query and incorporate UI elements on demand.

The server solves a common pain point: discoverability. AI assistants often require access to up‑to‑date UI snippets for rapid prototyping or content generation. MCP Magic UI automatically catalogs every component, categorizing them by name and dependency relationships. This structured view allows an assistant to ask for “all animation components” or “a button with a ripple effect,” and receive a precise, ready‑to‑use payload. The inclusion of caching reduces GitHub API traffic and supports offline scenarios, while a graceful fallback supplies mock data if the upstream source becomes unreachable.

Key capabilities are delivered through two core MCP tools. returns a comprehensive list of available components, each annotated with its file path, category, and relevant tags. fetches the raw source code for a specified component, making it trivial to embed or modify in downstream applications. The server’s dual transport modes—stdio and HTTP—ensure compatibility with a wide range of MCP clients, from command‑line inspectors to web‑based assistants.

In real‑world workflows, developers can integrate MCP Magic UI into design‑to‑code pipelines. For instance, a conversational UI builder might ask an AI assistant to “provide me with a slide‑in drawer component.” The assistant queries the MCP server, receives the component metadata and code, then injects it into a project scaffold. Because the server keeps an up‑to‑date cache, any updates to the Magic UI repository are reflected automatically, keeping generated UIs current without manual intervention.

What sets MCP Magic UI apart is its focus on seamless integration and resilience. By exposing a clean, well‑documented MCP interface, it allows AI assistants to treat UI components as first‑class resources—discoverable, searchable, and directly consumable. The caching strategy and fallback data further ensure that developers can rely on the service even under network constraints, making it a robust addition to any AI‑driven UI development stack.