Image Generation MCP Server

Name: Image Generation MCP Server
Author: manascb1344

@manascb1344

Repository Homepage

About Image Generation MCP Server

MCP server enabling high-quality image generation via Together AI's Flux.1 Schnell model.

#png #image-generation #cursor #cline #claude #together-ai #flux-schnell #mcp-server #customizable-dimensions

Basic information

Config

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

{
  "mcpServers": {
    "together-mcp-server": {
      "command": "npx",
      "args": [
        "together-mcp@latest"
      ]
    }
  }
}

Tools

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Overview

What is Image Generation MCP Server?

A Model Context Protocol (MCP) server that enables seamless generation of high-quality images using the Flux.1 Schnell model via Together AI. It provides a standardized interface for specifying image generation parameters.

How to use Image Generation MCP Server?

Install the package with npm install together-mcp or run directly with npx together-mcp@latest. Configure the server by adding it to your MCP configuration with your Together AI API key. Then invoke the generate_image tool with a required text prompt and optional parameters.

Key features of Image Generation MCP Server

High-quality image generation using the Flux.1 Schnell model
Customizable dimensions (width and height)
Clear error handling for prompt validation and API issues
Easy integration with MCP‑compatible clients
Optional image saving to disk as PNG

Use cases of Image Generation MCP Server

Generate images from text descriptions for applications and projects
Automate image creation with controlled dimensions and steps
Save generated images directly to disk for later use
Integrate image generation into developer workflows

FAQ from Image Generation MCP Server

Which model does the server use?

The server uses the Flux.1 Schnell model from Together AI (black-forest-labs/FLUX.1-schnell-Free by default).

What are the default parameter values?

Default values are: width 1024, height 768, steps 1, n (number of images) 1, response_format b64_json, and model as above.

What are the prerequisites?

Node.js version 16 or higher and a Together AI API key, obtainable from together.xyz.

How can I save the generated image to disk?

Provide the image_path parameter with a valid file path. The server will save the image as PNG and confirm the save location in the response.

What response formats are supported?

The server supports b64_json (base64 encoded image data) and url (a URL to the image). The default is b64_json.

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