Rakit UI AI
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| MINIMAX_API_KEY | No | Your MiniMax API key for AI-powered design generation. Get it from https://platform.minimax.io |
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 |
|---|---|
| mcp_rakit-ui-ai_designselectionB | Compare and select between 3 UI component designs with intelligent layout adaptation. Supports all CSS frameworks (Tailwind, Bootstrap, Bulma, etc.) and automatically chooses the best viewing mode based on component complexity. Perfect for design systems, component libraries, and UI pattern selection. NEW: Can generate designs from natural language prompts using MiniMax-M2.1 API - just provide a prompt and the tool will create 3 distinct designs for you to choose from. |
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 1 tool
With only one tool, there is no possibility of ambiguity or overlap between tools. The tool has a single, well-defined purpose focused on UI design selection and generation.
Since there is only one tool, naming consistency is inherently perfect. The tool name follows a clear pattern (mcp_rakit-ui-ai_designselection) that would be consistent if more tools existed.
A single tool is too few for a server named 'Rakit UI AI', which suggests a broader UI/design domain. The tool covers design selection and generation, but lacks complementary operations like editing, saving, or managing designs, making the scope feel incomplete.
The tool provides design selection and generation, but there are significant gaps for a UI AI server. Missing operations include editing designs, saving/loading designs, integrating with design systems, or handling user feedback, which limits agent workflows.