mcpGetImage
Generates candy images using OpenAI's GPT Image models, with background removal and prompt refinement for product photography.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@mcpGetImage Generate a product image of strawberry lollipops on white background"
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.
mcpGetImage
Servidor MCP en Python para pedir imágenes de dulces, refinarlas como fotografía de producto sobre fondo blanco y quitarles el fondo con rembg/U2-Net, inspirado en el flujo de PACA.
El flujo usa Image API porque la guía de OpenAI la recomienda cuando se necesita crear una imagen desde un solo prompt. El modelo por defecto es gpt-image-2, configurable con OPENAI_IMAGE_MODEL.
Requisitos
Python 3.10+
OPENAI_API_KEYLa primera vez,
rembgdescarga el modelo U2-Net localmente.
Related MCP server: nano-banana-claude
Instalación
python3.12 -m venv .venv
source .venv/bin/activate
pip install -e .
cp .env.example .envEdita .env y agrega tu OPENAI_API_KEY.
Ejecutar como servidor MCP
mcp-get-imageEse comando es para clientes MCP y usa stdio. Si lo corres directo en la terminal, se queda esperando mensajes JSON-RPC del cliente; no es un chat interactivo. Para probar manualmente usa la CLI de abajo.
Configuración típica para un cliente MCP:
{
"mcpServers": {
"mcp-get-image": {
"command": "/Users/djoker/code/mcpGetImage/.venv/bin/mcp-get-image"
}
}
}Herramientas MCP
refine_candy_prompt: convierte una petición como "necesito imágenes de dulces" en un prompt de producto más preciso.generate_candy_image: genera la imagen con OpenAI, pide fondo blanco, remueve el fondo y guarda un WebP transparente.remove_background: procesa una imagen local existente y la exporta como WebP transparente.
CLI local
Sirve para probar sin cliente MCP:
mcp-get-image-cli "gomitas enchiladas mexicanas en bolsa transparente"Mientras genera, la CLI escribe progreso en stderr:
[ 20%] Refining candy prompt for white-background product photography.
[ 40%] Calling OpenAI Images. This is usually the slowest step.
[ 60%] White-background image saved: ...
[ 80%] Removing background with rembg/U2-Net.
[100%] Transparent WebP saved: ...OpenAI no expone porcentaje interno real durante una llamada normal a images.generate, así que el 40% puede tardar. Ese mensaje significa que la imagen ya fue solicitada y estamos esperando respuesta del modelo.
Para ver el prompt sin generar imagen ni gastar API:
mcp-get-image-cli --prompt-only "gomitas enchiladas mexicanas en bolsa transparente"Para quitar fondo a una imagen local:
mcp-get-image-cli --remove-background outputs/mi_imagen.pngLos archivos se guardan por defecto en ./outputs.
Notas
El API oficial de OpenAI Images permite generar imágenes desde texto con modelos GPT Image y devuelve base64 para los modelos GPT Image. Este proyecto usa images.generate, configurable con OPENAI_IMAGE_MODEL; por defecto usa gpt-image-2.
Available Tools
3 toolsgenerate_candy_imageC
Generate a candy image with OpenAI, then remove its white background.
Inputs: request (required), style, composition, output_name, +1 more. Returns: object
refine_candy_promptB
Refine a candy image request into a white-background product prompt.
Inputs: request (required), style, composition, extra_details. Returns: result
remove_backgroundA
Remove the background from a local image and save a transparent WebP.
Inputs: image_path (required), output_path. Returns: object
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
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TDQS
Scored across 3 tools
Each tool targets a distinct stage: prompt refinement, image generation with background removal, and standalone background removal for local images. No two tools have overlapping purposes.
All tool names follow a consistent verb_noun snake_case pattern: refine_candy_prompt, generate_candy_image, remove_background. The naming is uniform and predictable.
Three tools perfectly cover the intended workflow: refine, generate, and process. The count is well-scoped for the server's purpose.
The pipeline is complete for candy image generation with background removal. The only minor gap is the absence of a standalone background-refinement option, but the core workflow is fully supported.
Maintenance
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