mcp server
mcp-image-gen
MCP server enabling Image Generation for LLMs, built in Python and integrated with Together AI.
Set up
Runs on your computer. Pick your agent and operating system.
Before you start
- uv (`curl -LsSf https://astral.sh/uv/install.sh | sh`)
{
"mcpServers": {
"sarthakkimtani-mcp-image-gen": {
"command": "uvx",
"args": [
"image-gen"
]
}
}
}same format Cursor, GitHub Copilot CLI, Junie, JetBrains AI Assistant, Augment (Auggie CLI), Factory Droid, Kiro, Devin CLI +12
Values in angle brackets are placeholders. Restart Claude Desktop after editing its config.Claude Desktop docs
README
synced Oct 17, 2026Image 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.
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
{
"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:
- 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.
License
This project is licensed under the MIT License. See the LICENSE file for details.