MCP server for generating images using OpenAI's DALL-E API
MCP server for generating images using OpenAI's DALL-E API. That is what the dalle mcp mcp server brings to an AI assistant: the same capability, reachable through the Model Context Protocol rather than a separate app or dashboard.
The server publishes 4 tools. What each one is for:
generate_image — Parameters: - prompt (required): Text description of the desired image - model (optional): DALL-E model to use ("dall-e-2" or "dall-e-3", defaultedit_image — Parameters: - prompt (required): Text description of the desired edits - imagePath (required): Path to the image to edit - mask (optional): Path tocreate_variation — Parameters: - imagePath (required): Path to the image to create variations of - model (optional): DALL-E model to use (currently only "dall-e-2"validate_key — The validate_key tool exposed by this serverSetup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client. The configuration blocks on this page cover the common clients.
Configuration is passed through the environment: OPENAI_API_KEY, SAVE_DIR. Treat anything key-shaped as a real credential — scope it to the minimum the server needs, and rotate it if it ever lands in a shared config.
Among the AI and media services options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. Dalle MCP's toolset — generate_image, edit_image, create_variation and 1 more — is a fair guide to whether it matches your workflow. It is maintained by Garoth; worth a glance at recent repository activity before you build anything load-bearing on it.
This entry was verified against Dalle MCP's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.
| Tool | What it does |
|---|---|
| generate_image | Parameters: - 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: "102 |
| edit_image | Parameters: - 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) - mod |
| create_variation | Parameters: - 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 ge |
| validate_key | The validate_key tool exposed by this server. |
{
"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": []
}
}
}Configuration as documented by the project. Restart the client after saving.
| Variable | Description | Required |
|---|---|---|
| OPENAI_API_KEY | Credential the server authenticates with. | Yes |
| SAVE_DIR | Filesystem location the server is allowed to use. | Optional |
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The ML hub in your context window — search models, datasets, papers and run Spaces from the official server.