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2025-03-12

MCP server enabling Image Generation for LLMs, built in Python and integrated with Together AI.

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Image Generation MCP Server

A Model Context Protocol (MCP) server that enables seamless generation of high-quality images via Together AI. This server provides a standardized interface to specify image generation parameters.

Image Generation Server MCP server

Features

  • High-quality image generation powered by the Flux.1 Schnell model
  • Support for customizable dimensions (width and height)
  • Clear error handling for prompt validation and API issues
  • Easy integration with MCP-compatible clients

Installation

Claude Desktop

  • On MacOS: ~/Library/Application\ Support/Claude/claude_desktop_config.json
  • On Windows: %APPDATA%/Claude/claude_desktop_config.json
Development/Unpublished Servers Configuration
{
  "mcpServers": {
    "image-gen": {
      "command": "uv",
      "args": ["--directory", "/ABSOLUTE/PATH/TO/image-gen/", "run", "image-gen"],
      "env": {
        "TOGETHER_AI_API_KEY": "<API KEY>"
      }
    }
  }
}

Available Tools

The server implements one tool:

generate_image

Generates an image based on the given textual prompt and optional dimensions.

Input Schema:

{
  "prompt": {
    "type": "string",
    "description": "A descriptive prompt for generating the image (e.g., 'a futuristic cityscape at sunset')"
  },
  "width": {
    "type": "integer",
    "description": "Width of the generated image in pixels (optional)"
  },
  "height": {
    "type": "integer",
    "description": "Height of the generated image in pixels (optional)"
  },
  "model": {
    "type": "string",
    "description": "The exact model name as it appears in Together AI. If incorrect, it will fallback to the default model (black-forest-labs/FLUX.1-schnell)."
  }
}

Prerequisites

  • Python 3.12 or higher
  • httpx
  • mcp

Contributing

Contributions are welcome! Please follow these steps to contribute:

  1. Fork the repository
  2. Create a new branch (feature/my-new-feature)
  3. Commit your changes
  4. Push the branch to your fork
  5. Open a Pull Request

For significant changes, please open an issue first to discuss your proposed changes.

License

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

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    Reviews

    3 (1)
    Avatar
    user_ezMmkEzL
    2025-04-15

    As a dedicated user of the Azure Model Context Protocol (MCP) Hub, I am thoroughly impressed by its seamless integration and robust functionality. This tool simplifies the complexity of managing models in a cloud environment, making it an invaluable resource for developers. The user interface is intuitive, and the documentation provided by Azure-Samples is comprehensive, ensuring a smooth setup process. The MCP Hub consistently delivers high performance and reliable results, making it a must-have for anyone working with Azure services. I highly recommend checking out the MCP Hub via the provided link.