mcp-imagegen-flux mcp

v1.0.0 · MCP Tool · ai · registry.pascalai.org

Generate images using Flux models (FLUX.1-schnell, FLUX.1-dev) via Replicate or local deployment.

fluximagegendiffusionaiimages

Input Parameters

Parameter	Type	Description
api_keyrequired	string	Replicate API token.
modeloptional	string	One of: `flux-schnell`, `flux-dev`, `flux-pro`. Default: `flux-schnell`.
promptrequired	string
widthoptional	integer	Default: `1024`.
heightoptional	integer	Default: `1024`.
stepsoptional	integer	Number of inference steps. Default: `4`.
guidanceoptional	number	Default: `3.5`.
seedoptional	integer
output_formatoptional	string	One of: `webp`, `jpg`, `png`. Default: `webp`.
output_qualityoptional	integer	Default: `80`.
output_pathoptional	string

Output Fields

Field	Type	Description
images	array[string]
model	string
seed	integer

Examples

Fast image with Flux Schnell

// Input
{
  "api_key": "r8_xxx",
  "model": "flux-schnell",
  "prompt": "A golden retriever puppy playing in autumn leaves",
  "width": 1024,
  "height": 1024,
  "steps": 4
}

// Output
{
  "images": [
    "https://replicate.delivery/..."
  ],
  "model": "flux-schnell"
}

Install & Discovery

Install

ppm install mcp-imagegen-flux

Get JSON Schema

GET /v1/packages/mcp-imagegen-flux/1.0.0/schema

Discover by keyword

GET /v1/mcp/discover?q=flux

Discovery hint: Install with ppm install mcp-imagegen-flux or invoke remotely via POST /v1/invoke/mcp-imagegen-flux on the MCP Service.

PascalAI Usage

uses toolslib;
var Tool := LoadTool('mcp-imagegen-flux');
var R := Tool.Call(JsonObj([]));
Writeln(R.ToJSON);