DALL-E

by garoth

3 stars

184 downloads

Not rated

GitHub

About

Enables image generation capabilities using OpenAI's DALL-E API with support for creating, editing, and varying images through flexible configuration options.

Details

Author: garoth
Repository: Garoth/dalle-mcp
GitHub stars: 3
Downloads: 184
Categories: Cloud Service, Other, AI, Productivity, Design, Media, Developer Tools, API, Infrastructure, Frontend
Tags: #content-creation

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

Download and install Highlight from highlightai.com/download
Navigate to the plugins tab and select "Add Custom Plugin"
Configure the plugin with the settings below
Plugin Name DALL-E

Command (node, npx, python, etc.) node
Arguments
- Argument 1 /path/to/dalle-mcp-server/build/index.js
Environment
- SAVE_DIR /path/to/save/directory
- OPENAI_API_KEY your-api-key-here
Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
Enable "Start Automatically" if you want the plugin to start when Highlight launches

Setting up with Cursor

Open Cursor's settings
Navigate to the MCP section
Click "Add new Global MCP server"
Copy and paste the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "dall-e": {
            "env": {
                "SAVE_DIR": "/path/to/save/directory",
                "OPENAI_API_KEY": "your-api-key-here"
            },
            "args": [
                "/path/to/dalle-mcp-server/build/index.js"
            ],
            "command": "node"
        }
    }
}

JSON

{
    "mcpServers": {
        "dall-e": {
            "env": {
                "SAVE_DIR": "/path/to/save/directory",
                "OPENAI_API_KEY": "your-api-key-here"
            },
            "args": [
                "/c",
                "node",
                "/path/to/dalle-mcp-server/build/index.js"
            ],
            "command": "cmd"
        }
    }
}

JSON

{
    "mcpServers": {
        "dall-e": {
            "env": {
                "SAVE_DIR": "/path/to/save/directory",
                "OPENAI_API_KEY": "your-api-key-here"
            },
            "args": [
                "/path/to/dalle-mcp-server/build/index.js"
            ],
            "command": "node"
        }
    }
}

Setting up with Claude Desktop

Open Claude Desktop's settings
Go to the Integrations tab
Click "Add MCP Server"
Use the configuration below based on your operating system

Note: Make sure Claude Desktop is running before attempting to connect.

JSON

{
    "mcpServers": {
        "dall-e": {
            "env": {
                "SAVE_DIR": "/path/to/save/directory",
                "OPENAI_API_KEY": "your-api-key-here"
            },
            "args": [
                "/path/to/dalle-mcp-server/build/index.js"
            ],
            "command": "node"
        }
    }
}

JSON

{
    "mcpServers": {
        "dall-e": {
            "env": {
                "SAVE_DIR": "/path/to/save/directory",
                "OPENAI_API_KEY": "your-api-key-here"
            },
            "args": [
                "/c",
                "node",
                "/path/to/dalle-mcp-server/build/index.js"
            ],
            "command": "cmd"
        }
    }
}

JSON

{
    "mcpServers": {
        "dall-e": {
            "env": {
                "SAVE_DIR": "/path/to/save/directory",
                "OPENAI_API_KEY": "your-api-key-here"
            },
            "args": [
                "/path/to/dalle-mcp-server/build/index.js"
            ],
            "command": "node"
        }
    }
}

Setting up with Windsurf

Open Windsurf's preferences
Go to the Integrations section
Click "Add MCP Integration"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "dall-e": {
            "env": {
                "SAVE_DIR": "/path/to/save/directory",
                "OPENAI_API_KEY": "your-api-key-here"
            },
            "args": [
                "/path/to/dalle-mcp-server/build/index.js"
            ],
            "command": "node"
        }
    }
}

JSON

{
    "mcpServers": {
        "dall-e": {
            "env": {
                "SAVE_DIR": "/path/to/save/directory",
                "OPENAI_API_KEY": "your-api-key-here"
            },
            "args": [
                "/c",
                "node",
                "/path/to/dalle-mcp-server/build/index.js"
            ],
            "command": "cmd"
        }
    }
}

JSON

{
    "mcpServers": {
        "dall-e": {
            "env": {
                "SAVE_DIR": "/path/to/save/directory",
                "OPENAI_API_KEY": "your-api-key-here"
            },
            "args": [
                "/path/to/dalle-mcp-server/build/index.js"
            ],
            "command": "node"
        }
    }
}

Setting up with Cline

Open Cline's settings
Navigate to the Integrations section
Click "Add MCP Server"
Copy and paste the configuration below based on your operating system

Note: Make sure to restart Cline after adding the configuration.

JSON

{
    "mcpServers": {
        "dall-e": {
            "env": {
                "SAVE_DIR": "/path/to/save/directory",
                "OPENAI_API_KEY": "your-api-key-here"
            },
            "args": [
                "/path/to/dalle-mcp-server/build/index.js"
            ],
            "command": "node"
        }
    }
}

JSON

{
    "mcpServers": {
        "dall-e": {
            "env": {
                "SAVE_DIR": "/path/to/save/directory",
                "OPENAI_API_KEY": "your-api-key-here"
            },
            "args": [
                "/c",
                "node",
                "/path/to/dalle-mcp-server/build/index.js"
            ],
            "command": "cmd"
        }
    }
}

JSON

{
    "mcpServers": {
        "dall-e": {
            "env": {
                "SAVE_DIR": "/path/to/save/directory",
                "OPENAI_API_KEY": "your-api-key-here"
            },
            "args": [
                "/path/to/dalle-mcp-server/build/index.js"
            ],
            "command": "node"
        }
    }
}

Setting up with Goose

Open Goose's preferences
Go to the Integrations tab
Select "MCP Servers"
Click "Add New Server"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "dall-e": {
            "env": {
                "SAVE_DIR": "/path/to/save/directory",
                "OPENAI_API_KEY": "your-api-key-here"
            },
            "args": [
                "/path/to/dalle-mcp-server/build/index.js"
            ],
            "command": "node"
        }
    }
}

JSON

{
    "mcpServers": {
        "dall-e": {
            "env": {
                "SAVE_DIR": "/path/to/save/directory",
                "OPENAI_API_KEY": "your-api-key-here"
            },
            "args": [
                "/c",
                "node",
                "/path/to/dalle-mcp-server/build/index.js"
            ],
            "command": "cmd"
        }
    }
}

JSON

{
    "mcpServers": {
        "dall-e": {
            "env": {
                "SAVE_DIR": "/path/to/save/directory",
                "OPENAI_API_KEY": "your-api-key-here"
            },
            "args": [
                "/path/to/dalle-mcp-server/build/index.js"
            ],
            "command": "node"
        }
    }
}

From the repository

npm install

Add the dall-e server to your Cline MCP settings file inside VSCode's settings (ex. ~/.config/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json):

json
{
"mcpServers": {
"dalle-mcp": {
"command": "node",
"args": ["/path/to/dalle-mcp-server/build/index.js"],
"env": {
"OPENAI_API_KEY": "your-api-key-here",
"SAVE_DIR": "/path/to/save/directory"
},
"disabled": false,
"autoApprove": []
}
}
}
``

Make sure to: 1. Replace/path/to/dalle-mcp-server/build/index.jswith the actual path to the built index.js file 2. Replaceyour-api-key-here` with your OpenAI API key

`generate_image`

Generate an image using DALL-E based on a text prompt. Parameters: prompt (required string), model (optional string), size (optional string), quality (optional string), style (optional string), n (optional integer), saveDir (optional string), fileName (optional string)

`edit_image`

Edit an existing image using DALL-E based on a text prompt. Parameters: prompt (required string), imagePath (required string), mask (optional string), model (optional string), size (optional string), n (optional integer), saveDir (optional string), fileName (optional string)

`create_variation`

Create variations of an existing image using DALL-E. Parameters: imagePath (required string), model (optional string), size (optional string), n (optional integer), saveDir (optional string), fileName (optional string)

`validate_key`

Validate the OpenAI API key. No parameters required.

generate_image

Generate an image using DALL-E based on a text prompt.

{
  "prompt": "A futuristic city with flying cars and neon lights",
  "model": "dall-e-3",
  "size": "1024x1024",
  "quality": "standard",
  "style": "vivid",
  "n": 1,
  "saveDir": "/path/to/save/directory",
  "fileName": "futuristic-city"
}

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "dall-e": {
            "env": {
                "SAVE_DIR": "/path/to/save/directory",
                "OPENAI_API_KEY": "your-api-key-here"
            },
            "args": [
                "/path/to/dalle-mcp-server/build/index.js"
            ],
            "command": "node"
        }
    }
}

Linux

{
    "env": {
        "SAVE_DIR": "/path/to/save/directory",
        "OPENAI_API_KEY": "your-api-key-here"
    },
    "args": [
        "/path/to/dalle-mcp-server/build/index.js"
    ],
    "command": "node"
}

Macos

{
    "env": {
        "SAVE_DIR": "/path/to/save/directory",
        "OPENAI_API_KEY": "your-api-key-here"
    },
    "args": [
        "/path/to/dalle-mcp-server/build/index.js"
    ],
    "command": "node"
}

Windows

{
    "env": {
        "SAVE_DIR": "/path/to/save/directory",
        "OPENAI_API_KEY": "your-api-key-here"
    },
    "args": [
        "/c",
        "node",
        "/path/to/dalle-mcp-server/build/index.js"
    ],
    "command": "cmd"
}

An MCP (Model Context Protocol) server for generating images using OpenAI's DALL-E API.

- Generate images using DALL-E 2 or DALL-E 3
- Edit existing images (DALL-E 2 only)
- Create variations of existing images (DALL-E 2 only)
- Validate OpenAI API key

# Clone the repository git clone https://github.com/Garoth/dalle-mcp.git cd dalle-mcp # Install dependencies npm install # Build the project npm run build

When using this DALL-E MCP server with Cline, it's recommended to save generated images in your current workspace directory by setting thesaveDirparameter to match your current working directory. This ensures Cline can properly locate and display the generated images in your conversation.

{ "prompt": "A tropical beach at sunset", "saveDir": "/path/to/current/workspace" }

Add the dall-e server to your Cline MCP settings file inside VSCode's settings (ex. ~/.config/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json):

{ "mcpServers": { "dalle-mcp": { "command": "node", "args": ["/path/to/dalle-mcp-server/build/index.js"], "env": { "OPENAI_API_KEY": "your-api-key-here", "SAVE_DIR": "/path/to/save/directory" }, "disabled": false, "autoApprove": [] } } }

- Replace/path/to/dalle-mcp-server/build/index.jswith the actual path to the built index.js file
- Replaceyour-api-key-herewith your OpenAI API key

Generate an image using DALL-E based on a text prompt.

{ "prompt": "A futuristic city with flying cars and neon lights", "model": "dall-e-3", "size": "1024x1024", "quality": "standard", "style": "vivid", "n": 1, "saveDir": "/path/to/save/directory", "fileName": "futuristic-city" }

- prompt(required): Text description of the desired image
- model(optional): DALL-E model to use ("dall-e-2" or "dall-e-3", default: "dall-e-3")
- size(optional): Size of the generated image (default: "1024x1024")

- DALL-E 3: "1024x1024", "1792x1024", or "1024x1792"
- DALL-E 2: "256x256", "512x512", or "1024x1024"

Edit an existing image using DALL-E based on a text prompt.

⚠️ Known Issue (March 18, 2025):The DALL-E 2 image edit API currently has a bug where it sometimes ignores the prompt and returns the original image without any edits, even when using proper RGBA format images and masks. This issue has been reported in theOpenAI community forum. If you experience this issue, try using thecreate_variationtool instead, which seems to work more reliably.

{ "prompt": "Add a red hat", "imagePath": "/path/to/image.png", "mask": "/path/to/mask.png", "model": "dall-e-2", "size": "1024x1024", "n": 1, "saveDir": "/path/to/save/directory", "fileName": "edited-image" }

- prompt(required): Text description of the desired edits
- imagePath(required): Path to the image to edit
- mask(optional): Path to the mask image (white areas will be edited, black areas preserved)
- model(optional): DALL-E model to use (currently only "dall-e-2" supports editing, default: "dall-e-2")
- size(optional): Size of the generated image (default: "1024x1024")
- n(optional): Number of images to generate (1-10, default: 1)
- saveDir(optional): Directory to save the edited images (default: current directory or SAVE_DIR from .env).For Cline users:Setting this to your current workspace directory is recommended for proper image display.
- fileName(optional): Base filename for the edited images without extension (default: "dalle-edit-{timestamp}")

Create variations of an existing image using DALL-E.

{ "imagePath": "/path/to/image.png", "model": "dall-e-2", "size": "1024x1024", "n": 4, "saveDir": "/path/to/save/directory", "fileName": "image-variation" }

- imagePath(required): Path to the image to create variations of
- model(optional): DALL-E model to use (currently only "dall-e-2" supports variations, default: "dall-e-2")
- size(optional): Size of the generated image (default: "1024x1024")
- n(optional): Number of variations to generate (1-10, default: 1)
- saveDir(optional): Directory to save the variation images (default: current directory or SAVE_DIR from .env).For Cline users:Setting this to your current workspace directory is recommended for proper image display.
- fileName(optional): Base filename for the variation images without extension (default: "dalle-variation-{timestamp}")

Note: The following .env configuration is ONLY needed for running tests, not for normal operation.

If you're developing or running tests for this project, create a.envfile in the root directory with your OpenAI API key:

# Required for TESTS ONLY: OpenAI API Key OPENAI_API_KEY=your-api-key-here # Optional: Default save directory for test images # If not specified, images will be saved to the current directory # SAVE_DIR=/path/to/save/directory

For normal operation with Cline, configure your API key in the MCP settings JSON as described in the "Adding to MCP Settings" section above.

You can get your API key from OpenAI's API Keys page.

# Run basic tests npm test # Run all tests including edit and variation tests npm run test:all # Run tests in watch mode npm run test:watch # Run specific test by name npm run test:name "should validate API key"

Note: Tests use real API calls and may incur charges on your OpenAI account.

The project includes a script to generate test images for development and testing:

# Generate a test image in the assets directory npm run generate-test-image

This will create a simple test image in theassetsdirectory that can be used for testing the edit and variation features.

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About

Details

Jump to

Setting up with Highlight

From the repository

generate_image

edit_image

create_variation

validate_key

generate_image

Claude Desktop / Cursor

Linux

Macos

Windows

Atlas Cloud MCP Server (Image / Video / LLM APIs)

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`generate_image`

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