Which integrations are available for this server?

Enables image generation using the Flux Schnell model hosted on Replicate, allowing users to create images based on text prompts.

How do I use Flux Image MCP Server?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@Flux Image MCP Server generate a photo of a futuristic city at night with flying cars" That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

Flux Image MCP Server

This MCP server provides image generation capabilities using the Flux Schnell model on Replicate.

Installation

Install the MCP SDK globally:

npm install -g @modelcontextprotocol/sdk@latest

Clone this repository to your MCP servers directory:

cd ~/Documents/Cline/MCP git clone https://github.com/yourusername/flux-img-mcp.git cd flux-img-mcp npm install

Build the server:

npm run build

Add the server configuration to your MCP settings file (either global or workspace):

{ "mcpServers": { "flux-img": { "command": "node", "args": ["/path/to/flux-img-mcp/build/index.js"], "env": { "REPLICATE_API_TOKEN": "your-replicate-api-token" }, "disabled": false, "alwaysAllow": [] } } }

Related MCP server: Image Generation MCP Server

Configuration

The server requires the following environment variable:

REPLICATE_API_TOKEN: Your Replicate API token. You can get this from your Replicate account settings.

Usage

Once installed and configured, the server provides the following tool:

generate_image

Generates an image using the Flux Schnell model based on a text prompt.

Parameters:

prompt (string, required): Text description of the desired image

Example usage:

<use_mcp_tool> <server_name>flux-img</server_name> <tool_name>generate_image</tool_name> <arguments> { "prompt": "A beautiful sunset over mountains" } </arguments> </use_mcp_tool>

The tool will return a JSON response containing: