MCP.so
登录

SiliconFlow Flux MCP 服务器

@lioensky

基本信息

分类

其他

传输方式

stdio

作者

lioensky

关于 SiliconFlow Flux MCP 服务器

基于硅基流动端口的AI生图MCP

SiliconFlow Flux MCP 服务器 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "siliconflow-flux-mcp": {
      "command": "node",
      "args": [
        "路径/到/siliconflow-flux-mcp-server/build/index.js"
      ],
      "env": {
        "SILICONFLOW_API_KEY": ""
      }
    }
  }
}

SiliconFlow Flux MCP 服务器 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。

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 SiliconFlow Flux MCP 服务器?

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.

How to use SiliconFlow Flux MCP 服务器?

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.

Key features of SiliconFlow Flux MCP 服务器

  • 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.

Use cases of SiliconFlow Flux MCP 服务器

  • AI assistants generating images on demand through MCP.
  • Creating images at various standard resolutions for different use cases.
  • Reproducible image generation using a fixed seed.
  • Integrating image generation into MCP‑compatible workflows or applications.

常见问题

1

What are the system requirements?

Node.js v18.0.0 or higher is required. The README provides a command to verify your Node.js version.

2

How do I obtain an API key?

You need your own SiliconFlow API key. The README suggests visiting https://cloud.siliconflow.cn/i/HxM1olJu to get a 14‑yuan credit key.

3

How do I configure the MCP server?

Add a JSON entry in your MCP configuration file specifying `"command": "node"` and the path to the built `index.js`, along with the `SILICONFLOW_API_KEY` environment variable.

4

What parameters does the `generate_image` tool accept?

It accepts `prompt` (recommended in English), `resolution` (one of the supported sizes), and an optional `seed` for reproducible results.

5

What transport or authentication does the server use?

The server uses the standard MCP protocol. Authentication is handled via the `SILICONFLOW_API_KEY` environment variable, which must be set before running the server.

评论

其他 分类下的更多 MCP 服务器