mcp-flux-schnell MCP Server
A TypeScript-based MCP server that enables text-to-image generation using Cloudflare's Flux Schnell model API.
bytefer
README
mcp-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.
Recommended Servers
contentful-mcp
Update, create, delete content, content-models and assets in your Contentful Space

Supabase MCP Server
A Model Context Protocol (MCP) server that provides programmatic access to the Supabase Management API. This server allows AI models and other clients to manage Supabase projects and organizations through a standardized interface.

Azure MCP Server
Enables natural language interaction with Azure services through Claude Desktop, supporting resource management, subscription handling, and tenant selection with secure authentication.

SettleMint
Leverage SettleMint's Model Context Protocol server to seamlessly interact with enterprise blockchain infrastructure. Build, deploy, and manage smart contracts through AI-powered assistants, streamlining your blockchain development workflow for maximum efficiency.

Brev
Run, build, train, and deploy ML models on the cloud.

Story SDK MCP Server
This server provides MCP (Model Context Protocol) tools for interacting with Story's Python SDK. Features Get license terms Mint and register IP Asset with PIL Terms Mint license tokens Send $IP to a wallet Upload image to ipfs via Pinata [External] Upload ip and nft metadata via Pinata [External]

Tembo MCP Server
An MCP server that enables Claude to interact with Tembo Cloud platform API, allowing users to manage Tembo Cloud resources through natural language.

Workers MCP
A package that connects Claude Desktop and other MCP clients to Cloudflare Workers, enabling custom functionality to be accessed via natural language through the Model Context Protocol.

Appwrite MCP Server
A Model Context Protocol server that allows AI assistants to interact with Appwrite's API, providing tools to manage databases, users, functions, teams, and other resources within Appwrite projects.
MCP2Lambda
Enables AI models to interact with AWS Lambda functions via the MCP protocol, allowing access to private resources, real-time data, and custom computation in a secure environment.