What are the key features of Flux?

Flux provides a `generate_image` tool, supports multiple SiliconFlow FLUX models, offers customizable image parameters, implements API key rotation, and includes a Dockerfile for easy deployment.

Flux is a Python-based MCP server that allows language models to generate images using SiliconFlow FLUX models.

How do I deploy Flux?

Flux includes a Dockerfile for simplified container deployment. You can also install it locally using Python and uv.

MCP stands for Model Context Protocol. Flux implements an MCP server, allowing language models to interact with the SiliconFlow image generation models in a standardized way.

What kind of API keys do I need?

You need a SiliconFlow API key to use Flux. You can obtain this key from the SiliconFlow website.

Flux

Name: Flux
Author: snakeying

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Enables language models to generate images using SiliconFlow FLUX models via a Python-based MCP server.

This Python-based MCP server facilitates image generation using SiliconFlow FLUX models. Built with Python, `mcp-sdk`, and the `FastMCP` framework, it's designed for Streamable HTTP transport and can be deployed as a standalone HTTP service, either in a Docker container or directly on physical/virtual machines. It offers configurable image generation parameters, API key rotation for enhanced reliability, and intelligent parameter handling for compatibility with various MCP clients.

Key Features

01Includes Dockerfile for simplified container deployment.

02Offers customizable image parameters like aspect ratio, inference steps, and seed.

03Supports multiple SiliconFlow FLUX models.

040 GitHub stars

05Provides a `generate_image` tool to MCP clients.

06Implements API key rotation for enhanced service reliability.

Use Cases

01Automating image creation workflows with configurable parameters.

02Self-hosting an image generation service using SiliconFlow models.

03Integrating image generation capabilities into language model applications.