About
Togetherai Image — Model Context Protocol server
README
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
Installing Togetherai Image
This server has no published package — it is built from source. Open the repository and follow its README.
▸ github.com/stefanskiasan/togetherai-image-mcp-serverFAQ
Is Togetherai Image MCP free?
Yes, Togetherai Image MCP is free — one-click install via Unyly at no cost.
Does Togetherai Image need an API key?
No, Togetherai Image runs without API keys or environment variables.
Is Togetherai Image hosted or self-hosted?
Self-hosted: the server runs locally on your machine via the install command above.
How do I install Togetherai Image in Claude Desktop, Claude Code or Cursor?
Open Togetherai Image on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.
Related MCPs
ARA
Generate images, video and audio from any AI agent — one connector.
by ARAOmni Video
An MCP server that transforms LLM-enabled IDEs into professional video editors by pre-processing footage into text proxies, generating motion graphics via HTML/
by buildwithtazaYouTube
Transcripts, channel stats, search
by YouTubeEverArt
AI image generation using various models.
by modelcontextprotocolCompare Togetherai Image with
Not sure what to pick?
Find your stack in 60 seconds
Author?
Embed badge for your README
Browse similar
All media MCPs
