A Python-based MCP server for SiliconFlow FLUX image generation. 一个基于 Python 的 MCP服务器，用于 SiliconFlow FLUX 图像生成。
Overview
What is Flux MCP Server?
Flux MCP Server is a Python-based server designed for generating images using the SiliconFlow FLUX series models. It operates as a standalone HTTP service, suitable for deployment in Docker containers or directly on physical/virtual machines.
How to use Flux MCP Server?
To use the Flux MCP Server, clone the repository, set up your environment, configure your SiliconFlow API keys, and run the server using the provided command. You can then connect your MCP client to the server to generate images.
Key features of Flux MCP Server?
- 🎨 Core tool for image generation named
generate_image. - 🤖 Support for multiple SiliconFlow FLUX models during image generation.
- ⚙️ Configurable parameters for image aspect ratio, inference steps, guidance scale, and seed.
- 🔑 API key polling for enhanced reliability and rate limit management.
- 🛠️ Docker-ready with a provided Dockerfile for easy deployment.
Use cases of Flux MCP Server?
- Generating images for various applications using AI models.
- Supporting developers in creating visual content through automated image generation.
- Facilitating research in image processing and AI model performance.
FAQ from Flux MCP Server?
- Can Flux MCP Server generate images from any model?
Yes, it supports various SiliconFlow FLUX models.
- Is Flux MCP Server free to use?
Yes, it is open-source and free to use.
- What are the system requirements?
Requires Python 3.11 or higher and a valid SiliconFlow API key.