shadcn-ui MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Server capabilities have not been inspected yet.
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| list_shadcn_componentsB | Get a list of all available shadcn/ui components |
| get_component_detailsB | Get detailed information about a specific shadcn/ui component |
| get_component_examplesB | Get usage examples for a specific shadcn/ui component |
| search_componentsB | Search for shadcn/ui components by keyword |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 4 tools
Each tool has a clearly distinct purpose with no overlap: list_shadcn_components provides all components, get_component_details gives detailed info, get_component_examples shows usage examples, and search_components enables keyword-based discovery. An agent can easily distinguish between these four operations.
All tool names follow a consistent verb_noun pattern (get_component_details, get_component_examples, list_shadcn_components, search_components) with clear, descriptive verbs (get, list, search) and consistent snake_case formatting throughout.
Four tools is well-scoped for a component documentation server, providing essential operations (list, search, get details, get examples) without bloat. Each tool earns its place in supporting component discovery and usage workflows.
The toolset covers core documentation needs well: discovery (list/search) and component information (details/examples). A minor gap exists in lacking installation/implementation guidance tools, but agents can work around this with the provided information.