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Cloudflare Flux 1 Schnell MCP Server

@kamjin3086

关于 Cloudflare Flux 1 Schnell MCP Server

暂无概览

基本信息

分类

云与基础设施

许可证

MIT

运行时

node

传输方式

stdio

发布者

kamjin3086

配置

暂无标准配置

该服务器的 README 中没有可解析的 MCP 配置块,请前往代码仓库查看安装说明。

代码仓库

工具

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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 Cloudflare Flux 1 Schnell MCP Server?

A Model Context Protocol (MCP) server that provides a standardized interface for text-to-image generation using Cloudflare’s Flux 1 Schnell AI model. It is intended for developers who want to integrate Cloudflare’s AI image generation into MCP-compatible applications or workflows.

How to use Cloudflare Flux 1 Schnell MCP Server?

The server requires Node.js v16 or higher, a Cloudflare account with AI access enabled, a Cloudflare API token with appropriate permissions, and a Cloudflare account ID. Set the CLOUDFLARE_ACCOUNT_ID and CLOUDFLARE_API_TOKEN environment variables, then run the server. Specific installation and invocation commands are not yet documented in the README.

Key features of Cloudflare Flux 1 Schnell MCP Server

  • Text-to-image generation using Cloudflare’s Flux 1 Schnell model
  • Standardized MCP server interface for seamless integration
  • Configurable generation parameters (steps)
  • Simple API interface for sending prompts

Use cases of Cloudflare Flux 1 Schnell MCP Server

  • Generate images from text prompts in MCP-based applications
  • Integrate Cloudflare’s AI image generation into existing MCP workflows
  • Rapid prototyping of image generation features using Cloudflare infrastructure

FAQ from Cloudflare Flux 1 Schnell MCP Server

What prerequisites are needed to run this server?

Node.js v16 or higher, a Cloudflare account with AI access enabled, a Cloudflare API token with appropriate permissions, and a Cloudflare account ID.

What environment variables must be configured?

CLOUDFLARE_ACCOUNT_ID (your Cloudflare account ID) and CLOUDFLARE_API_TOKEN (your Cloudflare API token with AI permissions).

What license is this project under?

It is licensed under the MIT License.

Can I contribute to this project?

Yes, contributions are welcome via Pull Requests.

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