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SiliconFlow Flux MCP 服务器

@lioensky

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その他

トランスポート

stdio

作者

lioensky

SiliconFlow Flux MCP 服务器 について

基于硅基流动端口的AI生图MCP

SiliconFlow Flux MCP 服务器 の設定

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": {
    "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 のツール

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。

概要

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.

よくある質問

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.

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