SiliconFlow Flux MCP 服务器
About
SiliconFlow Flux MCP 服务器 is a server built on the Model Context Protocol (MCP) that enables AI assistants to generate high‑quality images by calling SiliconFlow’s Flux model through the MCP protocol.
Details
- Author
- lioensky
- GitHub stars
- 20
- Downloads
- 254
- Categories
- Other
Jump to
- Allows AI assistants to call SiliconFlow’s Flux model via MCP.
- Supports multiple image resolutions (e.g., 1024x1024, 960x1280).
- Customizable generation parameters such as random seed.
- Caches recent image generation results.
- Requires Node.js v18.0.0 or higher.
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
SiliconFlow Flux MCP 服务器Command (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
Install Node.js v18.0.0 or higher, clone the repository, run npm install and npm run build, then configure the API key in a .env file or via environment variables. Add the server to your MCP configuration with the node command pointing to the built index.js. The server exposes a generate_image tool that accepts prompt, resolution, and an optional seed parameter.
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"siliconflow flux mcp \u670d\u52a1\u5668": {
"siliconflow-flux-mcp": {
"command": "node",
"args": [
"\u8def\u5f84/\u5230/siliconflow-flux-mcp-server/build/index.js"
],
"env": {
"SILICONFLOW_API_KEY": ""
}
}
}
}
}McpServers
{
"siliconflow-flux-mcp": {
"command": "node",
"args": [
"\u8def\u5f84/\u5230/siliconflow-flux-mcp-server/build/index.js"
],
"env": {
"SILICONFLOW_API_KEY": ""
}
}
}SiliconFlow Flux MCP 服务器
这是一个基于Model Context Protocol (MCP)的服务器，允许AI通过MCP协议使用SiliconFlow的Flux模型进行图像生成。
功能特点
- 允许AI助手通过MCP协议调用SiliconFlow的Flux模型生成高质量图像
- 支持多种图像分辨率：1024x1024, 960x1280, 768x1024, 720x1440, 720x1280
- 可自定义生成参数，如随机种子等
- 缓存最近的图像生成结果
系统要求
- Node.js v18.0.0 或更高版本
您可以通过以下命令验证Node.js安装：
node --version # 应显示v18.0.0或更高版本
安装步骤
1. 克隆仓库：
git clone https://github.com/lioensky/siliconflow-flux-mcp-server.git
2. 安装依赖：
npm install
3. 构建项目：
npm run build
配置说明
API密钥配置
在使用前，您需要：
1. 在项目根目录创建或编辑.env文件
2. 通过https://cloud.siliconflow.cn/i/HxM1olJu 来获取14元额度密钥
3. 添加您的SiliconFlow API密钥：
SILICONFLOW_API_KEY=您的API密钥
> 注意：您需要自备SiliconFlow的API密钥才能使用此服务。
MCP服务器配置
在您的MCP配置文件中添加以下内容：
{
"mcpServers": {
"siliconflow-flux-mcp": {
"command": "node",
"args": ["路径/到/siliconflow-flux-mcp-server/build/index.js"],
"env": {
"SILICONFLOW_API_KEY": "您的API密钥"
}
}
}
}
使用方法
配置完成后，AI助手可以通过MCP协议调用此服务生成图像。服务提供了generate_image工具，接受以下参数：
- prompt：图像生成提示词（建议使用英文以获得最佳效果）
- resolution：图像分辨率，支持多种标准尺寸
- seed（可选）：随机种子，用于生成可重复的结果
开发者工具
您可以使用MCP Inspector工具来测试服务器：
npm run inspector
许可证
请参阅项目仓库中的许可证文件。
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