This MCP server integrates OpenAI's DALL-E image generation capabilities with Roo Code and other MCP-compatible AI assistants. It provides full access to all DALL-E API options, allowing for fine-grained control over the image generation process through the Model Context Protocol.
Install the package globally using npm:
npm install -g openai-mcp
Run the setup command to configure it with Roo Code:
openai-mcp install
For the server to function properly, you need to set up your OpenAI API key:
"openai-mcp": {
"env": {
"OPENAI_API_KEY": "your-openai-api-key"
}
}
Once installed, you can generate images by using the DALL-E tool in your AI assistant. The basic syntax involves providing a prompt that describes the image you want to generate.
Example prompt:
Generate an image of a sunset over mountains
The DALL-E integration supports all available API options for fine-tuned control:
Specify the dimensions of the generated image:
size
: "1024x1024" (default), "1024x1792", or "1792x1024"Control the quality of the generated image:
quality
: "standard" (default) or "hd"Set the stylistic emphasis:
style
: "vivid" (default) or "natural"Choose which DALL-E model to use:
model
: "dall-e-3" (default) or "dall-e-2"To generate an image with specific options, you can include them in your request:
Generate an image of a futuristic cityscape with flying cars
Size: 1792x1024
Quality: hd
Style: vivid
If you encounter issues with the MCP server:
To add this MCP server to Claude Code, run this command in your terminal:
claude mcp add-json "openai-mcp" '{"command":"npx","args":["-y","openai-mcp"],"env":{"OPENAI_API_KEY":"your-openai-api-key"}}'
See the official Claude Code MCP documentation for more details.
There are two ways to add an MCP server to Cursor. The most common way is to add the server globally in the ~/.cursor/mcp.json
file so that it is available in all of your projects.
If you only need the server in a single project, you can add it to the project instead by creating or adding it to the .cursor/mcp.json
file.
To add a global MCP server go to Cursor Settings > Tools & Integrations and click "New MCP Server".
When you click that button the ~/.cursor/mcp.json
file will be opened and you can add your server like this:
{
"mcpServers": {
"openai-mcp": {
"command": "npx",
"args": [
"-y",
"openai-mcp"
],
"env": {
"OPENAI_API_KEY": "your-openai-api-key"
}
}
}
}
To add an MCP server to a project you can create a new .cursor/mcp.json
file or add it to the existing one. This will look exactly the same as the global MCP server example above.
Once the server is installed, you might need to head back to Settings > MCP and click the refresh button.
The Cursor agent will then be able to see the available tools the added MCP server has available and will call them when it needs to.
You can also explicitly ask the agent to use the tool by mentioning the tool name and describing what the function does.
To add this MCP server to Claude Desktop:
1. Find your configuration file:
~/Library/Application Support/Claude/claude_desktop_config.json
%APPDATA%\Claude\claude_desktop_config.json
~/.config/Claude/claude_desktop_config.json
2. Add this to your configuration file:
{
"mcpServers": {
"openai-mcp": {
"command": "npx",
"args": [
"-y",
"openai-mcp"
],
"env": {
"OPENAI_API_KEY": "your-openai-api-key"
}
}
}
}
3. Restart Claude Desktop for the changes to take effect