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Image Generation MCP Server

@manascb1344

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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

Config

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

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

Tools

No tools detected

Fetch the live tool list by running this server in a temporary sandbox using the button above.

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.

Frequently asked questions

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](https://api.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`.

Comments

Basic information

Category

Media & Design

License

MIT

Transports

stdio

Author

manascb1344

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