Together AI Image MCP Server
Together AI 图像服务器
使用 Together AI 的图像生成模型生成图像的 MCP 服务器。
设置
安装依赖项:
npm install构建服务器:
npm run buildRelated MCP server: OpenAI GPT Image MCP
配置
1.Together AI API密钥
服务器需要 Together AI API 密钥。您可以从Together AI 平台获取。
2. Cline配置
将服务器添加到您的 Cline MCP 设置文件:
对于 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": []
}
}
}在 Cline 中的用法
服务器提供了一个generate_image工具,其参数如下:
{
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')
}示例用法
您可以像这样使用 Cline 中的服务器:
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>输出
该工具返回一个 JSON 响应,其中包含:
filepath:保存图像的完整路径filename:保存的图像文件的名称dimensions:图像的原始尺寸和最终尺寸
特征
支持Together AI最新的FLUX.1.1-pro模型
如果尺寸小于 256 像素,则自动调整图像大小
调整大小时保持纵横比
高质量 JPEG 输出(90% 质量)
递归创建输出目录
返回包括图像尺寸在内的详细元数据
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