MCP Magic UI

What is MCP Magic UI? MCP Magic UI is a server that implements the Model Context Protocol (MCP) to provide access to Magic UI components. It fetches component data from the Magic UI GitHub repository, categorizes them, and makes them available through an MCP API. This allows AI assistants and other MCP clients to easily discover and use Magic UI components in their applications. How to use MCP Magic UI? To use MCP Magic UI, clone the repository, install dependencies, and start the server using either stdio or HTTP transport. Connect to the server using any MCP client, such as the MCP Inspector. Key features of MCP Magic UI? Component Discovery: Access all Magic UI components through MCP tools Component Categorization: Components are automatically categorized based on their names and dependencies Caching System: Local caching of component data to reduce GitHub API calls and work offline Multiple Transport Options: Support for both stdio and HTTP transport methods Fallback Mechanism: Mock data is provided when GitHub API is unavailable Use cases of MCP Magic UI? Discovering and using Magic UI components in applications Integrating with AI assistants that require access to UI components Reducing API calls to GitHub by utilizing local caching FAQ from MCP Magic UI? How do I set up the GitHub personal access token? Create a token at https://github.com/settings/tokens and add it to the .env file in the project root. Can I use MCP Magic UI offline? Yes! The caching system allows you to use it offline after the initial data fetch. What transport methods are supported? MCP Magic UI supports both stdio and HTTP transport methods.

As an MCP (Model Context Protocol) server, MCP Magic UI enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.

To use MCP Magic UI, clone the repository, install dependencies, and start the server using either stdio or HTTP transport. Connect to the server using any MCP client, such as the MCP Inspector. Key features of MCP Magic UI? Component Discovery: Access all Magic UI components through MCP tools Component Categorization: Components are automatically categorized based on their names and dependencies Caching System: Local caching of component data to reduce GitHub API calls and work offline Multiple Transport Options: Support for both stdio and HTTP transport methods Fallback Mechanism: Mock data is provided when GitHub API is unavailable Use cases of MCP Magic UI? Discovering and using Magic UI components in applications Integrating with AI assistants that require access to UI components Reducing API calls to GitHub by utilizing local caching FAQ from MCP Magic UI? How do I set up the GitHub personal access token? Create a token at https://github.com/settings/tokens and add it to the .env file in the project root. Can I use MCP Magic UI offline? Yes! The caching system allows you to use it offline after the initial data fetch. What transport methods are supported? MCP Magic UI supports both stdio and HTTP transport methods.

Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.