Together AI Image Server
An MCP server for generating images using Together AI's image generation models.
Setup
- Install dependencies:
npm install
- Build the server:
npm run build
Configuration
1. Together AI API Key
The server requires a Together AI API key. You can get one from Together AI's platform.
2. Cline Configuration
Add the server to your Cline MCP settings file:
For macOS/Linux: ~/Library/Application Support/Windsurf/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json
{
"mcpServers": {
"togetherai-image": {
"command": "node",
"args": ["/path/to/togetherai-image-server/build/index.js"],
"env": {
"TOGETHER_API_KEY": "your-api-key-here"
},
"disabled": false,
"autoApprove": []
}
}
}
Usage in Cline
The server provides a generate_image tool with the following parameters:
{
prompt: string; // Required: Text description of the image to generate
model?: string; // Optional: Model to use (default: 'black-forest-labs/FLUX.1.1-pro')
width?: number; // Optional: Image width in pixels (default: 1024)
height?: number; // Optional: Image height in pixels (default: 768)
steps?: number; // Optional: Number of inference steps (default: 28)
n?: number; // Optional: Number of images to generate (default: 1)
outputDir?: string; // Optional: Directory where images will be saved (default: './output')
}
Example Usage
You can use the server in Cline like this:
Generate an image of a cat and save it to my desktop:
<use_mcp_tool>
<server_name>togeherai-image</server_name>
<tool_name>generate_image</tool_name>
<arguments>
{
"prompt": "A cute cat sitting on a windowsill",
"outputDir": "/Users/username/Desktop/generated-images"
}
</arguments>
</use_mcp_tool>
Output
The tool returns a JSON response containing:
filepath: Full path to the saved imagefilename: Name of the saved image filedimensions: Original and final dimensions of the image
Features
- Supports Together AI's latest FLUX.1.1-pro model
- Automatically resizes images if dimensions are below 256 pixels
- Maintains aspect ratio during resizing
- High-quality JPEG output (90% quality)
- Creates output directories recursively
- Returns detailed metadata including image dimensions