# AIDesigner MCP Server

A lightweight MCP server that empowers AI coding assistants like Claude Code, Cursor, Codex, VS Code/Copilot, and Windsurf to generate, refine, and integrate production-ready UI designs directly in your codebase.

Canonical URL: https://a2a-mcp.org/entry/aidesigner-mcp

Language: en

Category: MCP Servers

Updated: 2026-04-08

## Overview

AIDesigner MCP Server is a lightweight **Model Context Protocol (MCP)** server that bridges the gap between powerful AI coding assistants and professional UI/UX design. It addresses one of the biggest weaknesses of tools like Claude Code — poor native UI design capabilities — by giving them access to intelligent design tools directly inside the editor.

The server reads your project's framework, component library, CSS/tailwind tokens, and design system, then generates production-ready UI code that seamlessly fits your existing stack. No more switching between Figma and your code editor or manually fixing AI-generated designs.

## Key Features

- **Codebase-Aware Design Generation**: Analyzes your project to understand frameworks, components, and tokens before creating UI.
- **generate_design Tool**: Turn natural language prompts into production-ready UI components and pages.
- **refine_design Tool**: Iteratively improve layouts, colors, spacing, and styles using conversational instructions.
- **Direct Code Integration**: Outputs code that drops straight into your codebase without manual adaptation.
- **OAuth Authentication**: Secure sign-in flow with token refresh handled automatically by the MCP host.
- **Broad Compatibility**: Works with Claude Code, Codex, Cursor, VS Code (Copilot Agent mode), and Windsurf.
- **Zero-Friction Setup**: Install and configure via a single `npx` command.

## Supported AI Coding Tools

- **Claude Code**: Full guided workflow with `/mcp` command and dedicated agents.
- **Cursor**: Seamless integration for AI-powered editing.
- **Codex**: Project-level configuration support.
- **VS Code / GitHub Copilot**: Agent mode compatibility.
- **Windsurf**: User-scope configuration.

## Installation & Setup

1. Run the initialization command in your project:
   ```bash
   npx -y @aidesigner/agent-skills init <host> --trust-project
   ```
   (Replace `<host>` with `codex`, `cursor`, etc.)

2. The CLI registers the MCP server and opens a browser window for OAuth sign-in.

3. Connect via your AI assistant's MCP panel (e.g., run `/mcp` in Claude Code and select "aidesigner").

4. Start prompting: "Generate a modern pricing page with dark mode support" or "Refine this dashboard to use our brand colors."

Detailed setup guides, tool references, and troubleshooting are available in the [official documentation](https://www.aidesigner.ai/docs/mcp).

## Use Cases

- **Rapid Frontend Prototyping**: Go from idea to polished UI in minutes without leaving your editor.
- **Design System Compliance**: Ensure all generated components respect your existing tokens and components.
- **Iterative UI Refinement**: Use natural language to tweak layouts, accessibility, or responsiveness.
- **Full-Stack Development**: Combine with coding agents to build complete features including beautiful interfaces.
- **Team Collaboration**: Maintain consistent design quality across AI-assisted and manual development.

## Technical Details

- **Protocol**: Model Context Protocol (MCP) — standardized tool and context exposure.
- **Distribution**: Available via npm (`@aidesigner/agent-skills` and related packages).
- **Authentication**: OAuth-based with automatic token management.
- **Status**: Actively developed; v0.1.0 released with strong early adoption on Product Hunt.

AIDesigner MCP transforms AI coding assistants from code generators into full design-and-code partners, making beautiful, production-grade UIs accessible to every developer.

Visit [aidesigner.ai](https://www.aidesigner.ai/) for more information, live demos, and the latest updates.

## Tags

- mcp
- mcp-server
- ui-design
- frontend
- claude-code
- cursor
- ai-coding
- design-system
- tailwind
- component-library

## Sources

- [Project website](https://www.aidesigner.ai/docs/mcp)