themesberg/flowbite-mcp

Official MCP server for Flowbite to leverage AI for UI creation and theme generation

An MCP server that enables AI assistants to access the Flowbite library of Tailwind CSS components—including UI elements, forms, typography, and plugins—while offering an intelligent theme generator for creating custom branded designs within AI-driven development environments.

MCP Features

Tools:

• 🎨 [NEW] Figma to code - Copy the Figma node url and generate code (video demo)
• 🎯 Theme file generator - Create custom branded themes from any branded hex color

Resources:

• 📦 60+ UI components - Complete access to the Flowbite UI components

Server:

• 🌐 Dual transport support - Standard I/O (stdio) for CLI or HTTP Streamable for server deployments
• ⚡ Production ready - Docker support with health checks and monitoring

Quickstart

Using NPX

The simplest way to use Flowbite MCP Server:

npx flowbite-mcp

Environment variables

Currently you only need the Figma personal access token if you want to enable the Figma to code generation tool.

// other options
"env": {
  "FIGMA_ACCESS_TOKEN": "YOUR_PERSONAL_FIGMA_ACCESS_TOKEN"
}

You set this variable in your MCP client configuration file.

Integration examples

Use the following configuration examples to install the Flowbite MCP server in popular clients such as Cursor, Claude, Windsurf, and others.

Claude desktop

Update the claude_desktop_config.json file and add the following configuration:

{
  "mcpServers": {
    "flowbite": {
      "command": "npx",
      "args": ["-y", "flowbite-mcp"],
      "env": {
        "FIGMA_ACCESS_TOKEN": "YOUR_PERSONAL_FIGMA_ACCESS_TOKEN"
      }
    }
  }
}

Cursor editor

Update the mcp.json file and add the following configuration:

{
  "mcpServers": {
    "flowbite": {
      "command": "npx",
      "args": ["-y", "flowbite-mcp"],
      "env": {
        "FIGMA_ACCESS_TOKEN": "YOUR_PERSONAL_FIGMA_ACCESS_TOKEN"
      }
    }
  }
}

Windsurf editor

Update the mcp_config.json file and add the following configuration:

{
  "mcpServers": {
    "flowbite": {
      "command": "npx",
      "args": ["-y", "flowbite-mcp"],
      "env": {
        "FIGMA_ACCESS_TOKEN": "YOUR_PERSONAL_FIGMA_ACCESS_TOKEN"
      }
    }
  }
}

Glama.ai

Local Transport Modes

Standard I/O (stdio)

The default mode for local development and CLI integrations:

# Start in stdio mode (default)
node build/index.js

{
  "mcpServers": {
    "flowbite": {
      "command": "node",
      "args": ["/path/to/flowbite-mcp/build/index.js"],
      "env": {
        "FIGMA_ACCESS_TOKEN": "YOUR_PERSONAL_FIGMA_ACCESS_TOKEN"
      }
    }
  }
}

Learn how to get the Figma personal access token to enable the Figma to code generation tool.

HTTP server

HTTP-based transport for production and multi-client scenarios:

node build/index.js --mode http --port 3000

This will make the MCP server available at 'http://localhost:3000/mcp'.

Local development

# Clone the repository
git clone https://github.com/themesberg/flowbite-mcp.git
cd flowbite-mcp

# Install dependencies
npm install

# Build the project
npm run build

# Run in stdio mode (for Claude Desktop, Cursor)
npm start

# Run inspector
npm run start inspector

# Run in HTTP server mode (for production/multi-client)
MCP_TRANSPORT_MODE=http npm start

Production deployment (HTTP Mode)

For production servers with multiple clients:

# Using npx
npx flowbite-mcp --mode http --port 3000

# Using Docker Compose
docker-compose up -d

# Health check
curl http://localhost:3000/health

Hosting variables

Configure the server behavior with these environment variables:

# Transport mode: stdio (default) or http
MCP_TRANSPORT_MODE=http

# Server port for HTTP mode
MCP_PORT=3000

# Host binding for HTTP mode
MCP_HOST=0.0.0.0

# CORS origins (comma-separated)
MCP_CORS_ORIGINS=http://localhost:3000,https://myapp.com

Docker Configuration

The project includes a production-ready Docker setup with multi-stage builds for optimal performance.

Quickstart with Docker

# Build and run with Docker Compose (recommended)
docker-compose up -d

# Check health
curl http://localhost:3000/health

# View logs
docker-compose logs -f

# Stop
docker-compose down

MCP inspector

Use the MCP Inspector for interactive debugging:

npm run inspector

Logging

Check server logs for detailed information:

# stdio mode logs to console
node build/index.js

# HTTP mode includes HTTP request logs
MCP_TRANSPORT_MODE=http node build/index.js

File structure

flowbite-mcp/
├── src/
│   ├── index.ts              # Main server entry point
│   └── server-runner.ts      # Express HTTP Streamable transport
├── data/
│   ├── components/           # 60+ component markdown files
│   ├── forms/                # Form component documentation
│   ├── typography/           # Typography elements
│   ├── plugins/              # Plugin documentation
│   ├── theme.md              # Theme variable reference
│   └── quickstart.md         # Getting started guide
├── build/                    # Compiled JavaScript output
├── package.json
├── tsconfig.json
└── README.md

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

1. Fork the repository
2. Create your feature branch (git checkout -b feature/AmazingFeature)
3. Commit your changes (git commit -m 'Add some AmazingFeature')
4. Push to the branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

License

This project is licensed under the MIT License License - see the LICENSE file for details.

Credits

• Flowbite - For the amazing Tailwind CSS component library
• Anthropic - For the Model Context Protocol specification
• Tailwind CSS - For the utility-first CSS framework

Resources

• 🎨 Flowbite Documentation
• 📦 Flowbite Components
• 🌐 Model Context Protocol
• 🚀 Tailwind CSS v4 Docs
• 💬 GitHub Issues

Roadmap

• Complete component resource access
• AI-powered theme generator
• Dual transport support (stdio + HTTP)
• Flowbite Pro blocks integration (with license authentication)
• Figma to code conversion tool
• Enhanced theme customization options
• Component search and filtering
• Real-time component preview generation