Flux cf
@Hzzy2O
关于 Flux cf
暂无概览
基本信息
配置
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"Flux cf": {
"command": "npx",
"args": [
"-y",
"@smithery/cli@latest",
"run",
"@Hzzy2O/flux-cloudfare-mcp",
"--config",
"\"{\\\"fluxApiToken\\\":\\\"AIzaSyCb_wdwMQa_u3KHkd1ywHptTh_Rf07-bJU\\\",\\\"fluxApiUrl\\\":\\\"https://flux-api.capiiii664.workers.dev\\\"}\""
]
}
}
}工具
未检测到工具
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 Flux cf?
Flux cf is an MCP server that enables AI assistants to generate images using Black Forest Labs' Flux model via a Cloudflare Worker API. It is intended for developers integrating image generation into MCP-compatible clients like Cursor, Claude Desktop, Cline, or Zed.
How to use Flux cf?
Install and run directly with npx, setting the FLUX_API_TOKEN and FLUX_API_URL environment variables. Alternatively, clone the repository, install dependencies, and build from source. Configure the server in your MCP client (e.g., Cursor or Claude Desktop) using the command env FLUX_API_TOKEN=YOUR_TOKEN FLUX_API_URL=YOUR_API_URL npx -y flux-cloudflare-mcp.
Key features of Flux cf
- High-quality image generation via the Flux model
- Seamless integration with MCP-compatible AI assistants
- Customizable parameters: aspect ratio, inference steps
- Local processing through a Cloudflare Worker endpoint
- Chat completions available using the same API
Use cases of Flux cf
- Generate images directly from within an AI assistant like Claude
- Customize image output with prompts, steps, and aspect ratios
- Deploy a light‑weight image generation API on Cloudflare Workers
FAQ from Flux cf
What does Flux cf need to run?
It requires a deployed Flux API endpoint (from snakeying/flux-api-worker or aigem/cf-flux-remix) and the corresponding FLUX_API_TOKEN and FLUX_API_URL environment variables.
How do I deploy the required Flux API?
You can deploy using snakeying/flux-api-worker (a simple Cloudflare Worker) or aigem/cf-flux-remix (a feature‑rich implementation with a web UI). Follow the instructions in each repository.
What parameters can I pass to generate_image?
The tool accepts a required prompt, an optional num_inference_steps (1‑4, default 4), and an optional aspect_ratio (e.g., "16:9", default "1:1").
Does the model have any safety filters?
Yes, the Flux model includes a built‑in safety filter that may block certain prompts.
What transports or authentication does the server use?
The server uses environment‑variable‑based authentication (FLUX_API_TOKEN) and connects to the Flux API over standard HTTPS. It is MCP‑compatible via the Model Context Protocol SDK.
其他 分类下的更多 MCP 服务器
Reactive Resume
amruthpillaiA one-of-a-kind resume builder that keeps your privacy in mind. Completely secure, customizable, portable, open-source and free forever. Try it out today!
Blender
ahujasidOpen-source MCP to use Blender with any LLM
Mcp
browsermcpBrowser MCP is a Model Context Provider (MCP) server that allows AI applications to control your browser
FastMCP v2 🚀
jlowin🚀 The fast, Pythonic way to build MCP servers and clients.
ICSS
chokcoco不止于 CSS
评论