MCP 服务器

GPT Image 1 MCP

A Model Context Protocol server that enables generating and editing images using OpenAI's gpt-image-1 model, allowing AI assistants to create and modify images from text prompts.

Tools

create_image

create_image_edit

README

<h1 align="center">@cloudwerxlab/gpt-image-1-mcp</h1>

<p align="center"> A Model Context Protocol (MCP) server for generating and editing images using the OpenAI <code>gpt-image-1</code> model. </p>

🚀 Quick Start

<p align="center">Run this MCP server directly using NPX without installing it. <a href="https://www.npmjs.com/package/@cloudwerxlab/gpt-image-1-mcp">View on npm</a>.</p>

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

<p align="center">The <code>-y</code> flag automatically answers "yes" to any prompts that might appear during the installation process.</p>

📋 Prerequisites

<table> <tr> <td width="50%" align="center"> <img src="https://img.shields.io/badge/Node.js-v14+-339933?logo=node.js&logoColor=white" alt="Node.js v14+"> <p>Node.js (v14 or higher)</p> </td> <td width="50%" align="center"> <img src="https://img.shields.io/badge/OpenAI-API_Key-412991?logo=openai&logoColor=white" alt="OpenAI API Key"> <p>OpenAI API key with access to gpt-image-1</p> </td> </tr> </table>

🔑 Environment Variables

<table> <tr> <th>Variable</th> <th>Required</th> <th>Description</th> </tr> <tr> <td><code>OPENAI_API_KEY</code></td> <td>✅ Yes</td> <td>Your OpenAI API key with access to the gpt-image-1 model</td> </tr> <tr> <td><code>GPT_IMAGE_OUTPUT_DIR</code></td> <td>❌ No</td> <td>Custom directory for saving generated images (defaults to user's Pictures folder under <code>gpt-image-1</code> subfolder)</td> </tr> </table>

💻 Example Usage with NPX

<table> <tr> <th>Operating System</th> <th>Command Line Example</th> </tr> <tr> <td><strong>Linux/macOS</strong></td> <td>

# 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

</tr> <tr> <td><strong>Windows (PowerShell)</strong></td> <td>

# 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

</tr> <tr> <td><strong>Windows (Command Prompt)</strong></td> <td>

:: 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

</tr> </table>

🔌 Integration with MCP Clients

🛠️ Setting Up in an MCP Client

<table> <tr> <td> <h4>Step 1: Locate Settings File</h4> <ul> <li>For <strong>Roo</strong>: <code>c:\Users<username>\AppData\Roaming\Code\User\globalStorage\rooveterinaryinc.roo-cline\settings\mcp_settings.json</code></li> <li>For <strong>VS Code MCP Extension</strong>: Check your extension documentation for the settings file location</li> <li>For <strong>Cursor</strong>: <code>~/.config/cursor/mcp_settings.json</code> (Linux/macOS) or <code>%APPDATA%\Cursor\mcp_settings.json</code> (Windows)</li> <li>For <strong>Augment</strong>: <code>~/.config/augment/mcp_settings.json</code> (Linux/macOS) or <code>%APPDATA%\Augment\mcp_settings.json</code> (Windows)</li> <li>For <strong>Windsurf</strong>: <code>~/.config/windsurf/mcp_settings.json</code> (Linux/macOS) or <code>%APPDATA%\Windsurf\mcp_settings.json</code> (Windows)</li> </ul> </td> </tr> <tr> <td> <h4>Step 2: Add Configuration</h4> <p>Add the following configuration to the <code>mcpServers</code> object:</p> </td> </tr> </table>

{
  "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"
      }
    }
  }
}

Example Configurations for Different Operating Systems

<table> <tr> <th>Operating System</th> <th>Example Configuration</th> </tr> <tr> <td><strong>Windows</strong></td> <td>

{
  "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"
      }
    }
  }
}

</tr> <tr> <td><strong>Linux/macOS</strong></td> <td>

{
  "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"
      }
    }
  }
}

</tr> </table>

Note: For Windows paths, use double backslashes (\\) to escape the backslash character in JSON. For Linux/macOS, use forward slashes (/).

✨ Features

<div align="center"> <table> <tr> <td align="center"> <h3>🎨 Core Tools</h3> <ul> <li><code>create_image</code>: Generate new images from text prompts</li> <li><code>create_image_edit</code>: Edit existing images with text prompts and masks</li> </ul> </td> <td align="center"> <h3>🚀 Key Benefits</h3> <ul> <li>Simple integration with MCP clients</li> <li>Full access to OpenAI's gpt-image-1 capabilities</li> <li>Streamlined workflow for AI image generation</li> </ul> </td> </tr> </table> </div>

💡 Enhanced Capabilities

<table> <tr> <td> <h4>📊 Output & Formatting</h4> <ul> <li>✅ <strong>Beautifully Formatted Output</strong>: Responses include emojis and detailed information</li> <li>✅ <strong>Automatic Image Saving</strong>: All generated images saved to disk for easy access</li> <li>✅ <strong>Detailed Token Usage</strong>: View token consumption for each request</li> </ul> </td> <td> <h4>⚙️ Configuration & Handling</h4> <ul> <li>✅ <strong>Configurable Output Directory</strong>: Customize where images are saved</li> <li>✅ <strong>File Path Support</strong>: Edit images using file paths instead of base64 encoding</li> <li>✅ <strong>Comprehensive Error Handling</strong>: Detailed error reporting with specific error codes, descriptions, and troubleshooting suggestions</li> </ul> </td> </tr> </table>

🔄 How It Works

<div align="center"> <table> <tr> <th align="center">🖼️ Image Generation</th> <th align="center">✏️ Image Editing</th> </tr> <tr> <td> <ol> <li>Server receives prompt and parameters</li> <li>Calls OpenAI API using gpt-image-1 model</li> <li>API returns base64-encoded images</li> <li>Server saves images to configured directory</li> <li>Returns formatted response with paths and metadata</li> </ol> </td> <td> <ol> <li>Server receives image, prompt, and optional mask</li> <li>For file paths, reads and prepares files for API</li> <li>Uses direct curl command for proper MIME handling</li> <li>API returns base64-encoded edited images</li> <li>Server saves images to configured directory</li> <li>Returns formatted response with paths and metadata</li> </ol> </td> </tr> </table> </div>

📁 Output Directory Behavior

<table> <tr> <td width="50%"> <h4>📂 Storage Location</h4> <ul> <li>🔹 <strong>Default Location</strong>: User's Pictures folder under <code>gpt-image-1</code> subfolder (e.g., <code>C:\Users\username\Pictures\gpt-image-1</code> on Windows)</li> <li>🔹 <strong>Custom Location</strong>: Set via <code>GPT_IMAGE_OUTPUT_DIR</code> environment variable</li> <li>🔹 <strong>Fallback Location</strong>: <code>./generated-images</code> (if Pictures folder can't be determined)</li> </ul> </td> <td width="50%"> <h4>🗂️ File Management</h4> <ul> <li>🔹 <strong>Directory Creation</strong>: Automatically creates output directory if it doesn't exist</li> <li>🔹 <strong>File Naming</strong>: Images saved with timestamped filenames (e.g., <code>image-2023-05-05T12-34-56-789Z.png</code>)</li> <li>🔹 <strong>Cross-Platform</strong>: Works on Windows, macOS, and Linux with appropriate Pictures folder detection</li> </ul> </td> </tr> </table>

Installation & Usage

NPM Package

This package is available on npm: @cloudwerxlab/gpt-image-1-mcp

You can install it globally:

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

Or run it directly with npx as shown in the Quick Start section.

Tool: `create_image`

Generates a new image based on a text prompt.

Parameters

Parameter	Type	Required	Description
`prompt`	string	Yes	The text description of the image to generate (max 32,000 chars)
`size`	string	No	Image size: "1024x1024" (default), "1536x1024", or "1024x1536"
`quality`	string	No	Image quality: "high" (default), "medium", or "low"
`n`	integer	No	Number of images to generate (1-10, default: 1)
`background`	string	No	Background style: "transparent", "opaque", or "auto" (default)
`output_format`	string	No	Output format: "png" (default), "jpeg", or "webp"
`output_compression`	integer	No	Compression level (0-100, default: 0)
`user`	string	No	User identifier for OpenAI usage tracking
`moderation`	string	No	Moderation level: "low" or "auto" (default)

Example

<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>

Response

The tool returns:

A formatted text message with details about the generated image(s)
The image(s) as base64-encoded data
Metadata including token usage and file paths

Tool: `create_image_edit`

Edits an existing image based on a text prompt and optional mask.

Parameters

Parameter	Type	Required	Description
`image`	string, object, or array	Yes	The image(s) to edit (base64 string or file path object)
`prompt`	string	Yes	The text description of the desired edit (max 32,000 chars)
`mask`	string or object	No	The mask that defines areas to edit (base64 string or file path object)
`size`	string	No	Image size: "1024x1024" (default), "1536x1024", or "1024x1536"
`quality`	string	No	Image quality: "high" (default), "medium", or "low"
`n`	integer	No	Number of images to generate (1-10, default: 1)
`background`	string	No	Background style: "transparent", "opaque", or "auto" (default)
`user`	string	No	User identifier for OpenAI usage tracking

Example with Base64 Encoded Image

<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>

Example with File Path

<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>

Response

The tool returns:

A formatted text message with details about the edited image(s)
The edited image(s) as base64-encoded data
Metadata including token usage and file paths

🔧 Troubleshooting

🚨 Common Issues

<table> <tr> <th align="center">Issue</th> <th align="center">Solution</th> </tr> <tr> <td> <h4>🖼️ MIME Type Errors</h4> <p>Errors related to image format or MIME type handling</p> </td> <td> <p>Ensure image files have the correct extension (.png, .jpg, etc.) that matches their actual format. The server uses file extensions to determine MIME types.</p> </td> </tr> <tr> <td> <h4>🔑 API Key Issues</h4> <p>Authentication errors with OpenAI API</p> </td> <td> <p>Verify your OpenAI API key is correct and has access to the gpt-image-1 model. Check for any spaces or special characters that might have been accidentally included.</p> </td> </tr> <tr> <td> <h4>🛠️ Build Errors</h4> <p>Issues when building from source</p> </td> <td> <p>Ensure you have the correct TypeScript version installed (v5.3.3 or compatible) and that your <code>tsconfig.json</code> is properly configured. Run <code>npm install</code> to ensure all dependencies are installed.</p> </td> </tr> <tr> <td> <h4>📁 Output Directory Issues</h4> <p>Problems with saving generated images</p> </td> <td> <p>Check if the process has write permissions to the configured output directory. Try using an absolute path for <code>GPT_IMAGE_OUTPUT_DIR</code> if relative paths aren't working.</p> </td> </tr> </table>

🔍 Error Handling and Reporting

The MCP server includes comprehensive error handling that provides detailed information when something goes wrong. When an error occurs:

Error Format: All errors are returned with:
- A clear error message describing what went wrong
- The specific error code or type
- Additional context about the error when available
AI Assistant Behavior: When using this MCP server with AI assistants:
- The AI will always report the full error message to help with troubleshooting
- The AI will explain the likely cause of the error in plain language
- The AI will suggest specific steps to resolve the issue

📄 License

<p align="center"> This project is licensed under the MIT License - see the <a href="LICENSE">LICENSE</a> file for details. </p>

<details> <summary>License Summary</summary>

<p>The MIT License is a permissive license that is short and to the point. It lets people do anything with your code with proper attribution and without warranty.</p>

<p><strong>You are free to:</strong></p> <ul> <li>Use the software commercially</li> <li>Modify the software</li> <li>Distribute the software</li> <li>Use and modify the software privately</li> </ul>

<p><strong>Under the following terms:</strong></p> <ul> <li>Include the original copyright notice and the license notice in all copies or substantial uses of the work</li> </ul>

<p><strong>Limitations:</strong></p> <ul> <li>The authors provide no warranty with the software and are not liable for any damages</li> </ul> </details>

🙏 Acknowledgments

<div align="center"> <table> <tr> <td align="center"> <a href="https://openai.com/"> <img src="https://img.shields.io/badge/OpenAI-412991?logo=openai&logoColor=white" alt="OpenAI"> <p>For providing the gpt-image-1 model</p> </a> </td> <td align="center"> <a href="https://github.com/model-context-protocol/mcp"> <img src="https://img.shields.io/badge/MCP-Protocol-00A3E0" alt="MCP Protocol"> <p>For the protocol specification</p> </a> </td> </tr> </table> </div>

<div align="center"> <p> <a href="https://github.com/CLOUDWERX-DEV/gpt-image-1-mcp/issues">Report Bug</a> • <a href="https://github.com/CLOUDWERX-DEV/gpt-image-1-mcp/issues">Request Feature</a> • <a href="https://cloudwerx.dev">Visit Our Website</a> </p> </div>

<div align="center"> <p> Developed with ❤️ by <a href="https://cloudwerx.dev">CLOUDWERX</a> </p> </div>

GPT Image 1 MCP

Tools

README

🚀 Quick Start

📋 Prerequisites

🔑 Environment Variables

💻 Example Usage with NPX

🔌 Integration with MCP Clients

🛠️ Setting Up in an MCP Client

Example Configurations for Different Operating Systems

✨ Features

💡 Enhanced Capabilities

🔄 How It Works

📁 Output Directory Behavior

Installation & Usage

NPM Package

Tool: create_image

Parameters

Example

Response

Tool: create_image_edit

Parameters

Example with Base64 Encoded Image

Example with File Path

Response

🔧 Troubleshooting

🚨 Common Issues

🔍 Error Handling and Reporting

📄 License

🙏 Acknowledgments

推荐服务器

Tool: `create_image`

Tool: `create_image_edit`