shadcn-ui MCP Server
by ymadd
The shadcn-ui MCP Server provides reference information for shadcn/ui components. It implements a Model Context Protocol (MCP) server that helps AI assistants access shadcn/ui component documentation and examples.
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What is shadcn-ui MCP Server?
This is a TypeScript-based MCP server that scrapes and caches information from the official shadcn/ui documentation site and GitHub repository to provide AI assistants with structured data about shadcn/ui components.
How to use shadcn-ui MCP Server?
Install the server using npm, build it, and then configure your AI assistant (Claude Desktop, Windsurf, Cursor) to use the server by adding the server configuration to the appropriate configuration file. The configuration specifies the command to run the server, either using a local build or the npx command.
Key features of shadcn-ui MCP Server
Provides a list of available shadcn/ui components
Offers detailed information about specific components
Provides usage examples for specific components
Allows searching for components by keyword
Use cases of shadcn-ui MCP Server
Enabling AI assistants to provide accurate and up-to-date information about shadcn/ui components
Helping developers quickly find the right component for their needs
Assisting in generating code snippets using shadcn/ui components
Improving the overall developer experience when working with shadcn/ui
FAQ from shadcn-ui MCP Server
What is MCP?
What is MCP?
MCP stands for Model Context Protocol. It's a protocol that allows AI models to access external data sources.
Where does the server get its data?
Where does the server get its data?
The server scrapes data from the official shadcn/ui documentation site (https://ui.shadcn.com) and the shadcn/ui GitHub repository.
What kind of information does the server provide?
What kind of information does the server provide?
The server provides component descriptions, installation instructions, usage examples, props and variants, and code samples.
How do I debug the server?
How do I debug the server?
Use the MCP Inspector, which is available as a package script (npm run inspector).
What AI assistants are supported?
What AI assistants are supported?
The README provides configuration examples for Claude Desktop, Windsurf, and Cursor.