SiliconFlow Flux MCP Server
by lioensky
This is a Model Context Protocol (MCP) server that allows AI to use SiliconFlow's Flux model for image generation via the MCP protocol. It enables AI assistants to generate high-quality images.
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What is SiliconFlow Flux MCP Server?
The SiliconFlow Flux MCP Server is a server based on the Model Context Protocol (MCP) that allows AI assistants to generate images using SiliconFlow's Flux model. It acts as a bridge between AI systems and the Flux model, enabling image creation through a standardized protocol.
How to use SiliconFlow Flux MCP Server?
To use the server, you need to clone the repository, install dependencies, build the project, configure the SiliconFlow API key in a .env file, and configure your MCP server to point to the built index.js file. After configuration, AI assistants can call the generate_image tool with parameters like prompt, resolution, and seed to generate images.
Key features of SiliconFlow Flux MCP Server
Allows AI assistants to generate high-quality images using SiliconFlow's Flux model
Supports multiple image resolutions: 1024x1024, 960x1280, 768x1024, 720x1440, 720x1280
Supports customizable generation parameters, such as random seeds
Caches recent image generation results
Use cases of SiliconFlow Flux MCP Server
Integrating image generation capabilities into AI assistants
Generating images from text prompts using AI models
Creating visual content for various applications
Automating image creation workflows
FAQ from SiliconFlow Flux MCP Server
What is the Model Context Protocol (MCP)?
What is the Model Context Protocol (MCP)?
MCP is a protocol that allows different AI models and systems to communicate and interact with each other.
Do I need a SiliconFlow API key to use this server?
Do I need a SiliconFlow API key to use this server?
Yes, you need a SiliconFlow API key to access the Flux model and generate images. You can obtain a key from https://cloud.siliconflow.cn/i/HxM1olJu.
What image resolutions are supported?
What image resolutions are supported?
The server supports the following image resolutions: 1024x1024, 960x1280, 768x1024, 720x1440, 720x1280.
Can I specify a random seed for image generation?
Can I specify a random seed for image generation?
Yes, you can specify a random seed to generate reproducible results.
How do I test the server?
How do I test the server?
You can use the MCP Inspector tool to test the server by running npm run inspector.