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Flux Image Generator MCP Server

@frankdeno

Repository

Basic information

Category

Developer Tools

Transports

stdio

Author

frankdeno

Submitted by

Frank Dierolf

About Flux Image Generator MCP Server

flux-image-generator-mcp

#flux-image-generator#image-generation#mcp-server

Flux Image Generator MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "flux-image-generator": {
      "command": "mcp-server-flux-image-generator",
      "env": {
        "BFL_API_KEY": "your_api_key_here"
      }
    }
  }
}

Flux Image Generator MCP Server tools

Tool list not available yet

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Overview

What is Flux Image Generator?

An MCP server that generates images using Black Forest Lab’s FLUX model. It integrates with MCP clients (e.g., Claude) and requires a Black Forest Lab API key. Aimed at developers and users who want to create AI-generated images with customizable settings.

How to use Flux Image Generator?

Install via npm (npm install -g @modelcontextprotocol/server-flux-image-generator) or from source. Configure your BFL_API_KEY in a .env file or client config. Start the server with npm start. Then invoke its tools (generateImage, quickImage, batchGenerateImages) from an MCP client.

Key features of Flux Image Generator

  • Generate images from text prompts with customizable dimensions.
  • Optional prompt upsampling for enhanced detail.
  • Safety tolerance setting for content moderation (1–5).
  • Batch generation of up to 10 images from multiple prompts.
  • Saves generated images locally and returns image URLs.

Use cases of Flux Image Generator

  • Generate concept art or illustrations for creative projects.
  • Quickly produce multiple image variants from a list of prompts.
  • Integrate AI image generation into chat or workflow tools via MCP.
  • Reproduce results using a fixed random seed.

Frequently asked questions

1

What API key is required?

A Black Forest Lab API key (obtained at https://api.bfl.ml) must be set as the `BFL_API_KEY` environment variable.

2

What are the supported image dimensions?

Width and height default to 1024 pixels and can be customized in `generateImage` and `batchGenerateImages`.

3

Can I batch generate images?

Yes, use the `batchGenerateImages` tool with up to 10 prompts. Each prompt can have different results.

4

How does content moderation work?

The `safetyTolerance` parameter (1–5, default 3) controls how strictly the model filters prohibited content. A violation returns an error.

5

Where are generated images saved?

Images are saved locally (paths shown in responses) and also returned via a temporary image URL from storage.example.com.

Comments

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