I craft unique cereal names, stories, and ridiculously cute Cereal Baby images.

Gongrzhe_image-Generation-MCP-server
Espejo dehttps: //github.com/gongrzhe/image-generation-mcp-server
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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 authentication -
MODEL
(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 generate -
seed
(optional): Random seed for reproducible generation -
aspect_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.
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Espejo dehttps: //github.com/agentience/practices_mcp_server
🧑🚀 全世界最好的 llM 资料总结(数据处理、模型训练、模型部署、 O1 模型、 MCP 、小语言模型、视觉语言模型) | Resumen de los mejores recursos del mundo.
Reviews

user_7sH9AIhS
As a dedicated user of the GongRzhe_Image-Generation-MCP-Server by MCP-Mirror, I must say it's an outstanding tool for image generation. The seamless integration and efficient performance have significantly enhanced my workflow. The GitHub repository is well-maintained and the community support is impressive. Highly recommended for anyone looking into advanced image generation solutions.