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Generate images MCP server

@Tomocrystal

リポジトリ

基本情報

カテゴリ

メディアとデザイン

トランスポート

stdio

作者

Tomocrystal

Generate images MCP server について

A Model Context Protocol server for generating images

#generate-image#mcp-server#image-generation

Generate images MCP server の設定

標準の設定はありません

このサーバーの README には解析可能な MCP 設定ブロックが含まれていません。インストール手順はリポジトリをご確認ください。

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Generate images MCP server のツール

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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 Generate images MCP server?

A Model Context Protocol server implementation compatible with OpenAI DALL-E model API calls. It uses a forwarding API service fully compatible with OpenAI interfaces, supporting large language models from OpenAI and Anthropic, as well as image generation models like MidJourney and Flux.

How to use Generate images MCP server?

Install dependencies with npm install, build with npm run build, then configure the MCP server in Cline/ROO CODE with the command, args, and env settings including OPENAI_API_KEY and optional OPENAI_MODEL_ID. For development, use npm run watch for auto-rebuilding.

Key features of Generate images MCP server

  • Fully compatible with OpenAI DALL-E API format.
  • Supports multiple image models: DALL-E, MidJourney, Flux.
  • Easy configuration via environment variables.
  • Built with TypeScript and Node.js.
  • Includes debugging support via MCP Inspector.

Use cases of Generate images MCP server

  • Generate images from text prompts inside AI assistants using DALL-E.
  • Use MidJourney or Flux models for creative image generation.
  • Integrate image generation into custom MCP-powered applications.
  • Replace direct API calls with a standardized MCP interface.

よくある質問

1

What runtime is required?

Node.js 16+ and npm or yarn. Works on Windows and macOS.

2

How do I configure the server in Cline/ROO CODE?

Set the `command` to `node` (Windows) or the built index.js path (macOS), and provide `OPENAI_API_KEY` in the `env` field. Optionally set `OPENAI_MODEL_ID`.

3

What image models are supported?

Models compatible with the OpenAI API format, including DALL-E 3, MidJourney, and Flux, through a forwarding API service.

4

How can I debug the server?

Use MCP Inspector by running `npm run inspector`. It provides a browser URL for debugging tools.

5

Is an API key required?

Yes, you need an `OPENAI_API_KEY` from the forwarding API service (see the README for a registration link).

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