Image Generation MCP Server
About
MCP server enabling Image Generation for LLMs, built in Python and integrated with Together AI.
Details
- Author
- sarthakkimtani
- GitHub stars
- 18
- Downloads
- 1,112
- Categories
- Developer Tools, AI, Other, Media
Jump to
- High-quality image generation via the Flux.1 Schnell model
- Customizable output dimensions (width and height)
- Clear error handling for prompt validation and API issues
- Easy integration with MCP-compatible clients
- Support for specifying an exact Together AI model with automatic fallback
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
Image Generation MCP ServerCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
Install using uv and configure in your MCP client (e.g., Claude Desktop) by adding a server entry with the command uv --directory /ABSOLUTE/PATH/TO/image-gen/ run image-gen and the required TOGETHER_AI_API_KEY environment variable. Once connected, call the generate_image tool with a descriptive prompt and optional width, height, and model parameters.
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"image generation mcp server": {
"image-gen": {
"command": "uv",
"args": [
"--directory",
"/ABSOLUTE/PATH/TO/image-gen/",
"run",
"image-gen"
],
"env": {
"TOGETHER_AI_API_KEY": "<API KEY>"
}
}
}
}
}McpServers
{
"image-gen": {
"command": "uv",
"args": [
"--directory",
"/ABSOLUTE/PATH/TO/image-gen/",
"run",
"image-gen"
],
"env": {
"TOGETHER_AI_API_KEY": "<API KEY>"
}
}
}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.
- 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
- On MacOS:~/Library/Application\ Support/Claude/claude_desktop_config.json
- On Windows:%APPDATA%/Claude/claude_desktop_config.json
{ "mcpServers": { "image-gen": { "command": "uv", "args": ["--directory", "/ABSOLUTE/PATH/TO/image-gen/", "run", "image-gen"], "env": { "TOGETHER_AI_API_KEY": "<API KEY>" } } } }
Generates an image based on the given textual prompt and optional dimensions.
{ "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)." } }
Contributions are welcome! Please follow these steps to contribute:
- Fork the repository
- Create a new branch (feature/my-new-feature)
- Commit your changes
- Push the branch to your fork
- Open a Pull Request
For significant changes, please open an issue first to discuss your proposed changes.
This project is licensed under the MIT License. See the LICENSE file for details.
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