About mcp-flux-schnell MCP Server
A TypeScript MCP server that lets MCP clients generate images from text using the Flux Schnell model through Cloudflare’s worker API. Generated image files are saved to a configured or default working directory.
Key features
- 01Text-to-image generation
- 02Flux Schnell model via Cloudflare API
- 03Returns generated image file path
- 04Configurable output directory
Use cases
- 01Generate images from text prompts
- 02Save generated images in a project directory
MCP support
Exposes a `generate_image` tool to MCP clients. The tool accepts a text prompt and returns the path to the generated image file.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEmcp-flux-schnell MCP Server
A TypeScript-based MCP server that implements a text-to-image generation tool using the Flux Schnell model. This server integrates with Cloudflare's Flux Schnell worker API to provide image generation capabilities through MCP.
- Creating your own Flux Schnell MCP Server is so easy! — Part 1
- Creating your own Flux Schnell MCP Server is so easy! — Part 2
Features
Tools
generate_image- Generate images from text descriptions- Takes a text prompt as input (1-2048 characters)
- Returns the path to the generated image file
Environment Variables
The following environment variables must be configured:
FLUX_API_URL- The URL of the Flux Schnell API endpointFLUX_API_TOKEN- Your authentication token for the Flux Schnell APIWORKING_DIR(optional) - Directory where generated images will be saved (defaults to current working directory)
Development
Install dependencies:
npm install
# or
pnpm install
Build the server:
npm run build
# or
pnpm build
Installation
Installing via Smithery
To install Flux Schnell Image Generator for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install @bytefer/mcp-flux-schnell --client claude
Cursor Configuration
There are two ways to configure the MCP server in Cursor:
Project Configuration
For tools specific to a project, create a .cursor/mcp.json file in your project directory:
{
"mcpServers": {
"mcp-flux-schnell": {
"command": "node",
"args": ["/path/to/mcp-flux-schnell/build/index.js"],
"env": {
"FLUX_API_URL": "your flux api url",
"FLUX_API_TOKEN": "your flux api token",
"WORKING_DIR": "your working directory"
}
}
}
}
This configuration will only be available within the specific project.
Global Configuration
For tools that you want to use across all projects, create a ~/.cursor/mcp.json file in your home directory with the same configuration:
{
"mcpServers": {
"mcp-flux-schnell": {
"command": "node",
"args": ["/path/to/mcp-flux-schnell/build/index.js"],
"env": {
"FLUX_API_URL": "your flux api url",
"FLUX_API_TOKEN": "your flux api token",
"WORKING_DIR": "your working directory"
}
}
}
}
This makes the MCP server available in all your Cursor workspaces.
Comments
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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.