SuperComponents Server
MCP server for AI-powered component generation - analyze designs, generate components, and create implementation instructions.
README
SuperComponents Server
MCP server for AI-powered component generation - analyze designs, generate components, and create implementation instructions.
Overview
SuperComponents Server is an MCP (Model Context Protocol) server that provides AI-powered component generation capabilities. It enables developers to parse design inputs, analyze component libraries, and generate implementation instructions through a standardized protocol interface.
Installation
Install the Package
# Install in your project
npm install supercomponents-server
# Or install globally (requires additional setup)
npm install -g supercomponents-server
Configure MCP Client
This package is an MCP server that needs to be configured in your MCP client (like Cursor, Claude Desktop, etc.).
For Cursor IDE
Add to your .cursor/mcp.json file:
{
"mcpServers": {
"supercomponents-server": {
"command": "node",
"args": ["./node_modules/supercomponents-server/build/index.js"]
}
}
}
For Claude Desktop
Add to your MCP configuration:
{
"mcpServers": {
"supercomponents-server": {
"command": "node",
"args": ["path/to/node_modules/supercomponents-server/build/index.js"]
}
}
}
Alternative: Using npx
You can also use npx to run the server:
{
"mcpServers": {
"supercomponents-server": {
"command": "npx",
"args": ["supercomponents-server"]
}
}
}
Usage
Once configured, the MCP server provides these tools to your AI assistant:
Available MCP Tools
parse.design: Convert design inputs into structured JSON representationsanalyze.components: Analyze existing component structures and patternsgenerate.instruction: Generate detailed implementation instructions for component development
Example Usage
The AI assistant can use these tools to:
# Parse a design file
parse.design({ input: "design-file.json" })
# Analyze component library
analyze.components({ library: "react-components" })
# Generate implementation instructions
generate.instruction({ component: "Button", requirements: "..." })
Configuration
Environment Variables
The server may require certain environment variables for AI model integration:
# Example - check specific AI provider requirements
OPENAI_API_KEY=your_api_key_here
Project Structure
When using the server, ensure your project has the expected structure for component analysis:
your-project/
├── src/
│ ├── components/
│ ├── designs/
│ └── ...
├── package.json
└── ...
Development
If you want to contribute to or modify the server:
Setup
# Clone the repository
git clone https://github.com/SuperComponents/SuperComponents.git
cd SuperComponents
# Install dependencies
npm install
# Build the project
npm run build
Development Commands
# Watch mode compilation
npm run dev
# Build for production
npm run build
# Run tests
npm test
# Start the server
npm start
Features
- Design Parsing: Convert design inputs into structured JSON representations
- Component Analysis: Analyze existing component structures and patterns
- Instruction Generation: Generate detailed implementation instructions for component development
- MCP Protocol: Standardized interface for AI assistant integration
- TypeScript Support: Full TypeScript support with type definitions
Architecture
Built with:
- Node.js & TypeScript
- MCP (Model Context Protocol) SDK
- Zod for schema validation
- AI model integration for processing tasks
Troubleshooting
Common Issues
- MCP Server Not Found: Ensure the package is installed and the path in your MCP configuration points to
node_modules/supercomponents-server/build/index.js - Permission Errors: Ensure Node.js has permission to execute the server files
- Port Conflicts: The server uses standard MCP protocol - ensure no conflicts with other MCP servers
- Module Not Found: Run
npm installto ensure all dependencies are installed
Debug Mode
Enable debug logging by setting:
DEBUG=supercomponents-server node node_modules/supercomponents-server/build/index.js
Contributing
- Fork the repository
- Create a feature branch
- Make your changes
- Add tests if applicable
- Submit a pull request
License
MIT License - see LICENSE file for details
Support
- GitHub Issues: Report bugs or request features
- Documentation: Full documentation
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