Flux Schnell
About
Generates images using the Flux Schnell model via a Cloudflare worker API, providing a streamlined text-to-image generation service with robust error handling and environment variable configuration.
Details
- Author
- bytefer
- Repository
- bytefer/mcp-flux-schnell
- GitHub stars
- 4
- Downloads
- 364
- License
- MIT License
- Categories
- Developer Tools, AI, Design, Media, Infrastructure, API, Cloud Service
Jump to
- Single generate_image tool to create images from text prompts.
- Supports prompts between 1 and 2048 characters.
- Returns the file path of the generated image.
- Configurable output directory via WORKING_DIR environment variable.
- Can be configured per project or globally in Cursor.
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
Flux SchnellCommand (node, npx, python, etc.)nodeArguments-
Argument 1
/path/to/mcp-flux-schnell/build/index.js
Environment-
WORKING_DIR
your working directory -
FLUX_API_URL
your flux api url -
FLUX_API_TOKEN
your flux api token
Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
-
Argument 1
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
The following environment variables must be configured:
- FLUX_API_URL - The URL of the Flux Schnell API endpoint
- FLUX_API_TOKEN - Your authentication token for the Flux Schnell API
- WORKING_DIR (optional) - Directory where generated images will be saved (defaults to current working directory)
To install Flux Schnell Image Generator for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install @bytefer/mcp-flux-schnell --client claude
There are two ways to configure the MCP server in Cursor:
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.
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.
generate_image
Generate images from text descriptions. Takes a text prompt as input (1-2048 characters) and returns the path to the generated image file.
- generate_image - Generate images from text descriptions
- Takes a text prompt as input (1-2048 characters)
- Returns the path to the generated image file
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"flux schnell": {
"env": {
"WORKING_DIR": "your working directory",
"FLUX_API_URL": "your flux api url",
"FLUX_API_TOKEN": "your flux api token"
},
"args": [
"/path/to/mcp-flux-schnell/build/index.js"
],
"command": "node"
}
}
}Linux
{
"env": {
"WORKING_DIR": "your working directory",
"FLUX_API_URL": "your flux api url",
"FLUX_API_TOKEN": "your flux api token"
},
"args": [
"/path/to/mcp-flux-schnell/build/index.js"
],
"command": "node"
}Macos
{
"env": {
"WORKING_DIR": "your working directory",
"FLUX_API_URL": "your flux api url",
"FLUX_API_TOKEN": "your flux api token"
},
"args": [
"/path/to/mcp-flux-schnell/build/index.js"
],
"command": "node"
}Windows
{
"env": {
"WORKING_DIR": "your working directory",
"FLUX_API_URL": "your flux api url",
"FLUX_API_TOKEN": "your flux api token"
},
"args": [
"/path/to/mcp-flux-schnell/build/index.js"
],
"command": "node"
}A text-to-image generation server using the Flux Schnell model.
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
- generate_image- Generate images from text descriptions
- Takes a text prompt as input (1-2048 characters)
- Returns the path to the generated image file
The following environment variables must be configured:
- FLUX_API_URL- The URL of the Flux Schnell API endpoint
- FLUX_API_TOKEN- Your authentication token for the Flux Schnell API
- WORKING_DIR(optional) - Directory where generated images will be saved (defaults to current working directory)
To install Flux Schnell Image Generator for Claude Desktop automatically viaSmithery:
npx -y @smithery/cli install @bytefer/mcp-flux-schnell --client claude
There are two ways to configure the MCP server in Cursor:
For tools specific to a project, create a.cursor/mcp.jsonfile 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.
For tools that you want to use across all projects, create a~/.cursor/mcp.jsonfile 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.
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