What model does the server use by default?
The default model is `black-forest-labs/FLUX.1-schnell`. You can override it with any Together AI model name via the `model` parameter.
@sarthakkimtani
基本情報
MCP server enabling Image Generation for LLMs, built in Python and integrated with Together AI.
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"image-gen": {
"command": "uv",
"args": [
"--directory",
"/ABSOLUTE/PATH/TO/image-gen/",
"run",
"image-gen"
],
"env": {
"TOGETHER_AI_API_KEY": "<API KEY>"
}
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
A Model Context Protocol (MCP) server that enables seamless generation of high-quality images via Together AI. It provides a standardized interface to specify image generation parameters for MCP-compatible clients.
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.
The default model is `black-forest-labs/FLUX.1-schnell`. You can override it with any Together AI model name via the `model` parameter.
You need Python 3.12 or higher, the `httpx` and `mcp` packages, and a valid Together AI API key.
Set the `TOGETHER_AI_API_KEY` environment variable in your MCP client configuration (e.g., `claude_desktop_config.json`).
It provides one tool: `generate_image`, which accepts a `prompt` (required), and optional `width`, `height`, and `model` parameters.
Yes, you can optionally set `width` and `height` in pixels when calling `generate_image`.
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