mcpField
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Flux cf

Local
github.com/Hzzy2OMedia & Design0Updated 85w ago

About Flux cf

Flux cf is an MCP server for generating images with Black Forest Labs' Flux model through a Cloudflare Worker API. It is for MCP clients that need image generation and text completions via that API.

Key features

  1. 01Generate images from text prompts
  2. 02Set aspect ratio and inference steps
  3. 03Provide text completions

Use cases

  1. 01Create images from descriptions in an MCP client
  2. 02Adjust generated image dimensions and inference steps

MCP support

Exposes a `generate_image` tool to MCP clients, with prompt, aspect ratio, and inference-step parameters. The README also describes text completions through the same API.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
"mcpServers": {
"flux-cloudfare": {
"command": "npx",
"args": [
"-y",
"@smithery/cli"
]
}
}
}
Run commandnpx -y @smithery/cli

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npm@smithery/cli

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

Flux Cloudflare MCP

MCP Compatible License TypeScript Model Context Protocol

A powerful Model Context Protocol (MCP) server that provides AI assistants with the ability to generate images using Black Forest Labs' Flux model via a Cloudflare Worker API.

Installation • Features • Usage • Documentation • Contributing


🌟 Features

  • 🖼️ High-Quality Image Generation: Access to Flux, a state-of-the-art image generation model
  • 🤖 Seamless AI Integration: Enable AI assistants like Claude to generate images directly
  • 🎛️ Customizable Parameters: Control aspect ratio, inference steps, and more
  • 🔌 MCP Compatible: Works with any MCP client (Cursor, Claude Desktop, Cline, Zed, etc.)
  • 🔒 Local Processing: All requests are processed securely through the Cloudflare Worker
  • 💬 Chat Completions: Get text completions using the same API

📦 Installation

Direct Usage with NPX
FLUX_API_TOKEN=your_token FLUX_API_URL=your_api_url npx -y flux-cloudflare-mcp
From Source
# Clone the repository
git clone https://github.com/Hzzy2O/flux-cloudflare-mcp.git
cd flux-cloudflare-mcp

# Install dependencies
npm install

# Build the project
npm run build

🚀 Setting Up Your Flux API

This MCP server requires a Flux API endpoint to function. You have two options for setting up the API:

Option 1: Deploy using snakeying/flux-api-worker (Recommended)

snakeying/flux-api-worker provides a simple and efficient Cloudflare Worker for accessing the Flux model:

  1. Fork the flux-api-worker repository
  2. Deploy it to Cloudflare Workers:
    • Create a new Worker in your Cloudflare dashboard
    • Connect it to your forked repository
    • Set up the required environment variables:
      • API_KEY: Your chosen API key for authentication
      • CF_ACCOUNT_ID: Your Cloudflare account ID
      • CF_API_TOKEN: Your Cloudflare API token with Workers AI access
      • FLUX_MODEL: The Flux model to use (default: "@cf/black-forest-labs/flux-1-schnell")
  3. Once deployed, your API will be available at https://your-worker-name.your-subdomain.workers.dev
  4. Use this URL as your FLUX_API_URL and your chosen API key as FLUX_API_TOKEN
Option 2: Deploy using aigem/cf-flux-remix

For a more feature-rich implementation with a web UI, you can use aigem/cf-flux-remix:

  1. Follow the installation instructions in the cf-flux-remix repository
  2. Once deployed, your API will be available at your deployed URL
  3. Use this URL as your FLUX_API_URL and your configured API key as FLUX_API_TOKEN

📚 Documentation

Available Tools
generate_image

Generates an image based on a text prompt using the Flux model.

{
  prompt: string;                // Required: Text description of the image to generate
  num_inference_steps?: number;  // Optional: Number of denoising steps (1-4) (default: 4)
  aspect_ratio?: string;         // Optional: Aspect ratio (e.g., "16:9", "4:3") (default: "1:1")
}

🔧 Usage

Cursor Integration
Method 1: Using mcp.json
  1. Create or edit the .cursor/mcp.json file in your project directory:
{
  "mcpServers": {
    "flux-cloudflare-mcp": {
      "command": "env FLUX_API_TOKEN=YOUR_TOKEN FLUX_API_URL=YOUR_API_URL npx",
      "args": ["-y", "flux-cloudflare-mcp"]
    }
  }
}
  1. Replace YOUR_TOKEN with your actual Flux API token and YOUR_API_URL with your API URL
  2. Restart Cursor to apply the changes
Method 2: Using Cursor MCP Settings
  1. Open Cursor and go to Settings
  2. Navigate to the "MCP" or "Model Context Protocol" section
  3. Click "Add Server" or equivalent
  4. Enter the following command in the appropriate field:
env FLUX_API_TOKEN=YOUR_TOKEN FLUX_API_URL=YOUR_API_URL npx -y flux-cloudflare-mcp
  1. Replace YOUR_TOKEN with your actual Flux API token and YOUR_API_URL with your API URL
  2. Save the settings and restart Cursor if necessary
Claude Desktop Integration

env FLUX_API_TOKEN=YOUR_TOKEN FLUX_API_URL=YOUR_API_URL npx -y flux-cloudflare-mcp

{
  "mcpServers": {
    "flux-cloudflare-mcp": {
      "command": "npx",
      "args": ["-y", "flux-cloudflare-mcp"],
      "env": {
        "FLUX_API_TOKEN": "YOUR_TOKEN",
        "FLUX_API_URL": "YOUR_API_URL"
      }
    }
  }
}

💻 Local Development

  1. Clone the repository:
git clone https://github.com/Hzzy2O/flux-cloudflare-mcp.git
cd flux-cloudflare-mcp
  1. Install dependencies:
npm install
  1. Build the project:
npm run build

🛠 Technical Stack

  • Model Context Protocol SDK - Core MCP functionality
  • Cloudflare Workers - Serverless API for image generation
  • TypeScript - Type safety and modern JavaScript features
  • Zod - Runtime type validation

⚙️ Configuration

The server requires the following environment variables:

  • FLUX_API_TOKEN: Your API token for authentication with the Flux API
  • FLUX_API_URL: The URL of your deployed Flux API (from snakeying/flux-api-worker or aigem/cf-flux-remix)

🔍 Troubleshooting

Common Issues
Authentication Error
  • Ensure your FLUX_API_TOKEN is correctly set in the environment
  • Verify your token is valid by testing it with the Flux API directly
API Connection Issues
  • Check that your Flux API (Cloudflare Worker) is running and accessible
  • Ensure your network allows connections to Cloudflare Workers
Safety Filter Triggered
  • The model has a built-in safety filter that may block certain prompts
  • Try modifying your prompt to avoid potentially problematic content

🤝 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/amazing-feature)
  3. Commit your changes (git commit -m 'Add some amazing feature')
  4. Push to the branch (git push origin feature/amazing-feature)
  5. Open a Pull Request

📄 License

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

🔗 Resources

smithery badge

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.