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DALL-E MCP Server

@Garoth

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基本情報

カテゴリ

その他

トランスポート

stdio

作者

Garoth

DALL-E MCP Server について

Uses DALL-E to generate/edit images, an MCP (Model Context Protocol) server

DALL-E MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "dalle-mcp": {
      "command": "node",
      "args": [
        "build/index.js"
      ]
    }
  }
}

DALL-E MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is DALL-E MCP Server?

An MCP server that generates, edits, and creates variations of images using OpenAI's DALL-E API. It provides tools for integration with AI assistants like Cline.

How to use DALL-E MCP Server?

Clone the repository, install dependencies (npm install), build (npm build), and run (node build/index.js). Configure your OpenAI API key in the MCP settings for Cline (e.g., ~/.config/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json). Tools such as generate_image, edit_image, create_variation, and validate_key are available with JSON parameters.

Key features of DALL-E MCP Server

  • Generate images using DALL‑E 2 or DALL‑E 3
  • Edit existing images with text prompts (DALL‑E 2 only)
  • Create variations of existing images (DALL‑E 2 only)
  • Validate OpenAI API key with a dedicated tool
  • Customizable image size, quality, style, and number of outputs

Use cases of DALL-E MCP Server

  • Generate illustrations or concept art from text descriptions
  • Edit an existing image by adding or removing elements
  • Produce multiple variations of an image for creative exploration
  • Validate API key configuration before heavy usage

よくある質問

1

Which DALL‑E models does the server support?

The server supports DALL‑E 2 and DALL‑E 3. DALL‑E 3 offers `hd` quality and `vivid`/`natural` style options; DALL‑E 2 supports image editing and variations.

2

How do I configure the server for use with Cline?

Add a `dalle-mcp` entry to your Cline MCP settings JSON with `command`, `args` pointing to the built `index.js`, and `env` containing `OPENAI_API_KEY` and optionally `SAVE_DIR`. For Cline to display images, set `saveDir` to the current workspace directory.

3

What are the limitations of `edit_image`?

As of March 18, 2025, the DALL‑E 2 edit API may ignore the prompt and return the original image. If that happens, try using `create_variation` instead, which appears more reliable.

4

How do I validate my OpenAI API key?

Use the `validate_key` tool with no parameters. It returns whether the API key is valid.

5

Where are generated images saved by default?

Images are saved to the current directory or the directory specified by the `SAVE_DIR` environment variable. You can override this per‑tool with the `saveDir` parameter.

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