Image Generation MCP Server
@manascb1344
关于 Image Generation MCP Server
MCP server enabling high-quality image generation via Together AI's Flux.1 Schnell model.
基本信息
配置
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"together-mcp-server": {
"command": "npx",
"args": [
"together-mcp@latest"
]
}
}
}工具
未检测到工具
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
概览
What is Image Generation MCP Server?
A Model Context Protocol (MCP) server that enables seamless generation of high-quality images using the Flux.1 Schnell model via Together AI. It provides a standardized interface for specifying image generation parameters.
How to use Image Generation MCP Server?
Install the package with npm install together-mcp or run directly with npx together-mcp@latest. Configure the server by adding it to your MCP configuration with your Together AI API key. Then invoke the generate_image tool with a required text prompt and optional parameters.
Key features of Image Generation MCP Server
- High-quality image generation using the Flux.1 Schnell model
- Customizable dimensions (width and height)
- Clear error handling for prompt validation and API issues
- Easy integration with MCP‑compatible clients
- Optional image saving to disk as PNG
Use cases of Image Generation MCP Server
- Generate images from text descriptions for applications and projects
- Automate image creation with controlled dimensions and steps
- Save generated images directly to disk for later use
- Integrate image generation into developer workflows
FAQ from Image Generation MCP Server
Which model does the server use?
The server uses the Flux.1 Schnell model from Together AI (black-forest-labs/FLUX.1-schnell-Free by default).
What are the default parameter values?
Default values are: width 1024, height 768, steps 1, n (number of images) 1, response_format b64_json, and model as above.
What are the prerequisites?
Node.js version 16 or higher and a Together AI API key, obtainable from together.xyz.
How can I save the generated image to disk?
Provide the image_path parameter with a valid file path. The server will save the image as PNG and confirm the save location in the response.
What response formats are supported?
The server supports b64_json (base64 encoded image data) and url (a URL to the image). The default is b64_json.
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