mcp-flux-studio

A powerful Model Context Protocol (MCP) server that brings Flux's advanced image generation capabilities to your AI coding assistants. This server enables direct integration of Flux's image generation, manipulation, and control features into Cursor and Windsurf (Codeium) IDEs.

MCP Flux Studio bridges the gap between AI coding assistants and Flux's powerful image generation API, allowing seamless integration of image generation capabilities directly into your development workflow.

• Image Generation

  • Text-to-image generation with precise control
  • Multiple model support (flux.1.1-pro, flux.1-pro, flux.1-dev, flux.1.1-ultra)
  • Customizable aspect ratios and dimensions

• Image Manipulation

  • Image-to-image transformation
  • Inpainting with customizable masks
  • Resolution upscaling and enhancement

• Advanced Controls

  • Edge-based generation (canny)
  • Depth-aware generation
  • Pose-guided generation

• IDE Integration

  • Full support for Cursor (v0.45.7+)
  • Compatible with Windsurf/Codeium Cascade (Wave 3+)
  • Seamless tool invocation through AI assistants

1. Prerequisites

   • Node.js 18+
   • Python 3.12+
   • Flux API key
   • Compatible IDE (Cursor or Windsurf)

2. Installation

To install Flux Studio for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install @jmanhype/mcp-flux-studio --client claude

git clone https://github.com/jmanhype/mcp-flux-studio.git
cd mcp-flux-studio
npm install
npm run build

3. Basic Configuration

   BFL_API_KEY=your_flux_api_key
   FLUX_PATH=/path/to/flux/installation

For detailed setup instructions, including IDE-specific configuration and troubleshooting, see our Installation Guide.

• Installation Guide - Comprehensive setup instructions
• API Documentation - Detailed tool documentation
• Example Usage - Real-world usage examples
• Contributing Guidelines - How to contribute

MCP Flux Studio integrates seamlessly with Cursor's AI assistant:

1. Configuration

   • Configure via Settings > Features > MCP
   • Supports both stdio and SSE connections
   • Environment variables can be set via wrapper scripts

2. Usage

   • Tools automatically available to Cursor's AI assistant
   • Tool invocations require user approval
   • Real-time feedback on generation progress

Integration with Windsurf's Cascade AI:

1. Configuration

   • Edit ~/.codeium/windsurf/mcp_config.json
   • Supports process-based tool execution
   • Environment variables configured in JSON

2. Usage

   • Access tools through Cascade's MCP toolbar
   • Automatic tool discovery and loading
   • Integrated with Cascade's AI capabilities

For detailed IDE-specific setup instructions, see the Installation Guide.

The server provides the following tools:

Generate an image from a text prompt.

{
  "prompt": "A photorealistic cat",
  "model": "flux.1.1-pro",
  "aspect_ratio": "1:1",
  "output": "generated.jpg"
}

Generate an image using another image as reference.

{
  "image": "input.jpg",
  "prompt": "Convert to oil painting",
  "model": "flux.1.1-pro",
  "strength": 0.85,
  "output": "output.jpg",
  "name": "oil_painting"
}

Inpaint an image using a mask.

{
  "image": "input.jpg",
  "prompt": "Add flowers",
  "mask_shape": "circle",
  "position": "center",
  "output": "inpainted.jpg"
}

Generate an image using structural control.

{
  "type": "canny",
  "image": "control.jpg",
  "prompt": "A realistic photo",
  "output": "controlled.jpg"
}

flux-mcp-server/
├── src/
│   ├── index.ts          # Main server implementation
│   └── types.ts          # TypeScript type definitions
├── tests/
│   └── server.test.ts    # Server tests
├── docs/
│   ├── API.md           # API documentation
│   └── CONTRIBUTING.md  # Contribution guidelines
├── examples/
│   ├── generate.json    # Example tool usage
│   └── config.json      # Example configuration
├── package.json
├── tsconfig.json
└── README.md

npm test

npm run build

Please read CONTRIBUTING.md for details on our code of conduct and the process for submitting pull requests.

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

• Model Context Protocol - The protocol specification
• Flux API - The underlying image generation API