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SiliconFlow Flux MCP 服务器

SiliconFlow Flux MCP 服务器

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github.com/lioenskyMedia & Design20Updated 78w ago

About SiliconFlow Flux MCP 服务器

This is a Node.js MCP server that calls SiliconFlow's Flux models to generate images. It suits users who want image generation available inside an AI assistant, offering several standard resolutions and an optional seed for reproducible results.

Key features

  1. 01generate_image tool for image generation
  2. 02Five standard resolutions supported
  3. 03Optional seed for reproducible output
  4. 04Caches recent generation results
  5. 05MCP Inspector command for testing

Use cases

  1. 01Creating illustrations within an AI assistant conversation
  2. 02Generating similar images repeatedly with a fixed seed

MCP support

This is an MCP server that exposes a generate_image tool to MCP clients, accepting prompt, resolution and an optional seed parameter.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

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
  1. 安装依赖:
npm install
  1. 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。

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.