Cloudflare Flux 1 Schnell MCP Server
LocalAbout Cloudflare Flux 1 Schnell MCP Server
A Model Context Protocol server for generating images from text prompts with Cloudflare's Flux 1 Schnell model. It provides an MCP interface and configurable generation steps.
Key features
- 01Generate images from text prompts
- 02Use Cloudflare Flux 1 Schnell
- 03Configure generation steps
- 04Expose an API interface
Use cases
- 01Create an image from a text description
- 02Adjust the number of generation steps
MCP support
Provides an MCP server interface for clients to interact with the image-generation service.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMECloudflare Flux 1 Schnell MCP Server
A Model Context Protocol (MCP) server implementation for Cloudflare's Flux 1 Schnell AI image generation model. This server provides a simple interface to generate images from text prompts using Cloudflare's AI services.
Features
- Text-to-image generation using Cloudflare's Flux 1 Schnell model
- MCP server implementation for standardized interaction
- Configurable generation parameters (steps)
- Easy-to-use API interface
Prerequisites
- Node.js (v16 or higher)
- Cloudflare account with AI access enabled
- Cloudflare API token with appropriate permissions
- Cloudflare account ID
[TODO]
Environment Variables
CLOUDFLARE_ACCOUNT_ID: Your Cloudflare account IDCLOUDFLARE_API_TOKEN: Your Cloudflare API token with AI permissions
License
This project is licensed under the MIT License - see the LICENSE file for details.
Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.