This MCP server provides image generation capabilities using the Replicate Flux model.
Media & Content
image-generationMCP-serverReplicate-Flux
Image Generation MCP Server
This MCP server provides image generation capabilities using the Replicate Flux model.
Setup
- On MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json On Windows: %APPDATA%/Claude/claude_desktop_config.json
{
"mcpServers": {
"image-gen": {
"command": "node",
"args": ["/path/to/image-gen-server/build/index.js"],
"env": {
"REPLICATE_API_TOKEN": "your-replicate-api-token",
"MODEL": "alternative-model-name"
},
"disabled": false,
"autoApprove": []
}
}
}
- Get your Replicate API token:
- Sign up/login at https://replicate.com
- Go to https://replicate.com/account/api-tokens
- Create a new API token
- Copy the token and replace
your-replicate-api-token
in the MCP settings
Environment Variables
REPLICATE_API_TOKEN
(required): Your Replicate API token for authenticationMODEL
(optional): The Replicate model to use for image generation. Defaults to “black-forest-labs/flux-schnell”
Configuration Parameters
disabled
: Controls whether the server is enabled (false
) or disabled (true
)autoApprove
: Array of tool names that can be executed without user confirmation. Empty array means all tool calls require confirmation.
Available Tools
generate_image
Generates images using the Flux model based on text prompts.
Parameters
prompt
(required): Text description of the image to generateseed
(optional): Random seed for reproducible generationaspect_ratio
(optional): Image aspect ratio (default: “1:1”)output_format
(optional): Output format - “webp”, “jpg”, or “png” (default: “webp”)num_outputs
(optional): Number of images to generate (1-4, default: 1)
Example Usage
const result = await use_mcp_tool({
server_name: "image-gen",
tool_name: "generate_image",
arguments: {
prompt: "A beautiful sunset over mountains",
aspect_ratio: "16:9",
output_format: "png",
num_outputs: 1
}
});
The tool returns an array of URLs to the generated images.
📜 License
This project is licensed under the MIT License.
Prerequisites
- •Familiarity with the server domain
- •Basic understanding of related technologies
- •Knowledge of Media & Content
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