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GPT Image 1 MCP

Name: GPT Image 1 MCP
Author: CLOUDWERX-DEV

by CLOUDWERX-DEV

Overview Schema Source Related Servers Discussions Admin

JavaScript

Hybrid

🚀 Inicio rápido

npx -y @cloudwerxlab/gpt-image-1-mcp

📋 Requisitos previos

🔑 Variables de entorno

💻 Ejemplo de uso con NPX

# Set your OpenAI API key
export OPENAI_API_KEY=sk-your-openai-api-key

# Optional: Set custom output directory
export GPT_IMAGE_OUTPUT_DIR=/home/username/Pictures/ai-generated-images

# Run the server with NPX
npx -y @cloudwerxlab/gpt-image-1-mcp

# Set your OpenAI API key
$env:OPENAI_API_KEY = "sk-your-openai-api-key"

# Optional: Set custom output directory
$env:GPT_IMAGE_OUTPUT_DIR = "C:\Users\username\Pictures\ai-generated-images"

# Run the server with NPX
npx -y @cloudwerxlab/gpt-image-1-mcp

:: Set your OpenAI API key
set OPENAI_API_KEY=sk-your-openai-api-key

:: Optional: Set custom output directory
set GPT_IMAGE_OUTPUT_DIR=C:\Users\username\Pictures\ai-generated-images

:: Run the server with NPX
npx -y @cloudwerxlab/gpt-image-1-mcp

Related MCP server: OpenAI MCP

🔌 Integración con clientes MCP

🛠️ Configuración en un cliente MCP

{
  "mcpServers": {
    "gpt-image-1": {
      "command": "npx",
      "args": [
        "-y",
        "@cloudwerxlab/gpt-image-1-mcp"
      ],
      "env": {
        "OPENAI_API_KEY": "PASTE YOUR OPEN-AI KEY HERE",
        "GPT_IMAGE_OUTPUT_DIR": "OPTIONAL: PATH TO SAVE GENERATED IMAGES"
      }
    }
  }
}

Configuraciones de ejemplo para diferentes sistemas operativos

{
  "mcpServers": {
    "gpt-image-1": {
      "command": "npx",
      "args": ["-y", "@cloudwerxlab/gpt-image-1-mcp"],
      "env": {
        "OPENAI_API_KEY": "sk-your-openai-api-key",
        "GPT_IMAGE_OUTPUT_DIR": "C:\\Users\\username\\Pictures\\ai-generated-images"
      }
    }
  }
}

{
  "mcpServers": {
    "gpt-image-1": {
      "command": "npx",
      "args": ["-y", "@cloudwerxlab/gpt-image-1-mcp"],
      "env": {
        "OPENAI_API_KEY": "sk-your-openai-api-key",
        "GPT_IMAGE_OUTPUT_DIR": "/home/username/Pictures/ai-generated-images"
      }
    }
  }
}

Nota : Para las rutas de Windows, use barras invertidas dobles ( \\ ) para escapar la barra invertida en JSON. Para Linux/MacOS, use barras diagonales ( / ).

✨ Características

💡 Capacidades mejoradas

🔄 Cómo funciona

📁 Comportamiento del directorio de salida

Instalación y uso

Paquete NPM

Este paquete está disponible en npm: @cloudwerxlab/gpt-image-1-mcp

Puedes instalarlo globalmente:

npm install -g @cloudwerxlab/gpt-image-1-mcp

O ejecútelo directamente con npx como se muestra en la sección Inicio rápido.

Herramienta: `create_image`

Genera una nueva imagen basándose en una solicitud de texto.

Parámetros

Parámetro	Tipo	Requerido	Descripción
`prompt`	cadena	Sí	La descripción del texto de la imagen a generar (máximo 32.000 caracteres)
`size`	cadena	No	Tamaño de la imagen: "1024x1024" (predeterminado), "1536x1024" o "1024x1536"
`quality`	cadena	No	Calidad de imagen: "alta" (predeterminada), "media" o "baja"
`n`	entero	No	Número de imágenes a generar (1-10, predeterminado: 1)
`background`	cadena	No	Estilo de fondo: "transparente", "opaco" o "automático" (predeterminado)
`output_format`	cadena	No	Formato de salida: "png" (predeterminado), "jpeg" o "webp"
`output_compression`	entero	No	Nivel de compresión (0-100, predeterminado: 0)
`user`	cadena	No	Identificador de usuario para el seguimiento del uso de OpenAI
`moderation`	cadena	No	Nivel de moderación: «bajo» o «automático» (predeterminado)

Ejemplo

<use_mcp_tool>
<server_name>gpt-image-1</server_name>
<tool_name>create_image</tool_name>
<arguments>
{
  "prompt": "A futuristic city skyline at sunset, digital art",
  "size": "1024x1024",
  "quality": "high",
  "n": 1,
  "background": "auto"
}
</arguments>
</use_mcp_tool>

Respuesta

La herramienta devuelve:

Un mensaje de texto formateado con detalles sobre las imágenes generadas
Las imágenes como datos codificados en base64
Metadatos que incluyen el uso de tokens y rutas de archivos

Herramienta: `create_image_edit`

Edita una imagen existente basándose en un mensaje de texto y una máscara opcional.

Parámetros

Parámetro	Tipo	Requerido	Descripción
`image`	cadena, objeto o matriz	Sí	Las imágenes a editar (cadena base64 u objeto de ruta de archivo)
`prompt`	cadena	Sí	La descripción del texto de la edición deseada (máximo 32.000 caracteres)
`mask`	cadena u objeto	No	La máscara que define las áreas a editar (cadena base64 u objeto de ruta de archivo)
`size`	cadena	No	Tamaño de la imagen: "1024x1024" (predeterminado), "1536x1024" o "1024x1536"
`quality`	cadena	No	Calidad de imagen: "alta" (predeterminada), "media" o "baja"
`n`	entero	No	Número de imágenes a generar (1-10, predeterminado: 1)
`background`	cadena	No	Estilo de fondo: "transparente", "opaco" o "automático" (predeterminado)
`user`	cadena	No	Identificador de usuario para el seguimiento del uso de OpenAI

Ejemplo con imagen codificada en Base64

<use_mcp_tool>
<server_name>gpt-image-1</server_name>
<tool_name>create_image_edit</tool_name>
<arguments>
{
  "image": "BASE64_ENCODED_IMAGE_STRING",
  "prompt": "Add a small robot in the corner",
  "mask": "BASE64_ENCODED_MASK_STRING",
  "quality": "high"
}
</arguments>
</use_mcp_tool>

Ejemplo con ruta de archivo

<use_mcp_tool>
<server_name>gpt-image-1</server_name>
<tool_name>create_image_edit</tool_name>
<arguments>
{
  "image": {
    "filePath": "C:/path/to/your/image.png"
  },
  "prompt": "Add a small robot in the corner",
  "mask": {
    "filePath": "C:/path/to/your/mask.png"
  },
  "quality": "high"
}
</arguments>
</use_mcp_tool>

Respuesta

La herramienta devuelve:

Un mensaje de texto formateado con detalles sobre las imágenes editadas
Las imágenes editadas como datos codificados en base64
Metadatos que incluyen el uso de tokens y rutas de archivos

🔧 Solución de problemas

🚨 Problemas comunes

🔍 Manejo y generación de informes de errores

El servidor MCP incluye un sistema integral de gestión de errores que proporciona información detallada cuando algo falla. Cuando se produce un error:

Formato de error : Todos los errores se devuelven con:
- Un mensaje de error claro que describe qué salió mal
- El código o tipo de error específico
- Contexto adicional sobre el error cuando esté disponible
Comportamiento del asistente de IA : al utilizar este servidor MCP con asistentes de IA:
- La IA siempre informará el mensaje de error completo para ayudar con la solución de problemas.
- La IA explicará la causa probable del error en un lenguaje sencillo.
- La IA sugerirá pasos específicos para resolver el problema.

📄 Licencia

🙏 Agradecimientos

Available Tools

2 tools

create_imageD

ParametersJSON Schema

Name	Required	Description	Default
`prompt`	Yes
`background`	No
`n`	No
`output_compression`	No
`output_format`	No
`quality`	No
`size`	No
`user`	No
`moderation`	No

TDQS

D1/5.0

Behavior1/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Tool has no description.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness1/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Tool has no description.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness1/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Tool has no description.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Tool has no description.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose1/5

Does the description clearly state what the tool does and how it differs from similar tools?

Tool has no description.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines1/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Tool has no description.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

create_image_editD

ParametersJSON Schema

Name	Required	Description	Default
`image`	Yes
`prompt`	Yes
`background`	No
`mask`	No
`n`	No
`quality`	No
`size`	No
`user`	No

TDQS

D1/5.0

Behavior1/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Tool has no description.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness1/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Tool has no description.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness1/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Tool has no description.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Tool has no description.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose1/5

Does the description clearly state what the tool does and how it differs from similar tools?

Tool has no description.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines1/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Tool has no description.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

2 tool updatesMay 9, 2025
- First observedcreate_image
- First observedcreate_image_edit

Deploy Server

One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

TDQS

D1.5/5.0

Scored 2026-04-18 10:10 across 2 tools

Disambiguation2/5

The two tools have overlapping purposes—both involve creating images—and without descriptions, it's unclear how they differ. 'create_image_edit' suggests editing an existing image, but this could easily be confused with the base 'create_image' tool, leading to potential misselection.

Naming Consistency5/5

Both tools follow a consistent verb_noun pattern with 'create_image' as the base, and 'create_image_edit' extends this logically. The naming is predictable and clear, with no deviations in style or convention.

Tool Count2/5

With only 2 tools, the server feels thin for an image-related domain, which typically requires operations like listing, retrieving, updating, or deleting images. This limited set may not support common workflows, making it under-scoped.

Completeness1/5

The tool surface is severely incomplete for an image server; there are no tools for reading, updating, deleting, or managing images beyond creation and editing. This will cause significant agent failures in handling image lifecycles or varied tasks.

Maintenance

ActivityInactive

ResponsivenessUnresponsive

Resources

Need Help?

Reddit Discussion

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🚀 Inicio rápido

📋 Requisitos previos

🔑 Variables de entorno

💻 Ejemplo de uso con NPX

🔌 Integración con clientes MCP

🛠️ Configuración en un cliente MCP

Configuraciones de ejemplo para diferentes sistemas operativos

✨ Características

💡 Capacidades mejoradas

🔄 Cómo funciona

📁 Comportamiento del directorio de salida

Instalación y uso

Paquete NPM

Herramienta: create_image

Parámetros

Ejemplo

Respuesta

Herramienta: create_image_edit

Parámetros

Ejemplo con imagen codificada en Base64

Ejemplo con ruta de archivo

Respuesta

🔧 Solución de problemas

🚨 Problemas comunes

🔍 Manejo y generación de informes de errores

📄 Licencia

🙏 Agradecimientos

Available Tools

TDQS

TDQS

Tool Schema Changelog

TDQS

Maintenance

Resources

Related MCP Connectors

Related MCP Servers

Image Toolkit MCP Server

OpenAI MCP

Gemini MCP Image Generation

DALL-E 3 MCP Server

Appeared in Searches

Herramienta: `create_image`

Herramienta: `create_image_edit`