広告掲載
MCP.so
ログイン
I

Image Gen MCP Server

@Cleveland-RD

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

Cleveland-RD

投稿者

Dias Jakupov

Image Gen MCP Server について

Local stdio MCP server for generating and editing images via OpenAI gpt-image-2 or Google Gemini (Nano Banana / Pro image-preview). Saves PNGs to ~/Pictures/image-gen/ and returns inline JPEG thumbnails. Bring your own OpenAI and/or Gemini API key.

#image-generation#openai#gpt-image-2#gemini#nano-banana#stdio#claude-desktop#claude-code

Image Gen 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": {
    "image-gen": {
      "command": "node",
      "args": [
        "<HOME>/.image-gen-mcp/server/index.js"
      ],
      "env": {
        "OPENAI_API_KEY": "<YOUR_OPENAI_API_KEY>",
        "GEMINI_API_KEY": "<YOUR_GEMINI_API_KEY>"
      }
    }
  }
}

Image Gen MCP Server のツール

2

Generate or edit an image via OpenAI gpt-image-2 or Google Gemini. Accepts a prompt plus optional

Poll a previously-started image generation job.

概要

What is Image Gen?

Image Gen is an open-source Claude plugin and stdio MCP server for generating and editing images via OpenAI gpt-image-2 and Google Gemini models (gemini-3.1-flash-image-preview / `gemini-3-pro-image-preview)). Users bring their own API keys.

How to use Image Gen?

Install via .mcpb (Claude Desktop), plugin zip (Claude Desktop or Claude Code), or manual configuration. Set at least one API key (OPENAI_API_KEY or GEMINI_API_KEY) as an environment variable. Invoke the generate_image tool with a prompt and optional parameters, or use check_image_job to poll an in-progress job.

Key features of Image Gen?

  • Supports OpenAI gpt-image-2 and Google Gemini image models
  • Generates and edits images from text prompts
  • Optionally includes reference images for edits
  • Returns inline JPEG thumbnail for immediate display
  • Saves full-resolution PNGs to ~/Pictures/image-gen/
  • Provides check_image_job tool for polling long-running generations

Use cases of Image Gen

  • Generate images from descriptive prompts within Claude conversations
  • Edit existing images by providing reference images alongside prompts
  • Integrate AI image generation into Claude-powered workflows

よくある質問

1

What API keys are required?

At least one API key: either an OpenAI key for gpt-image-2 or a Google Gemini key for gemini-3.1-flash-image-preview / gemini-3-pro-image-preview.

2

Which models are supported?

OpenAI gpt-image-2 and Google Gemini models: gemini-3.1-flash-image-preview (Nano Banana) and gemini-3-pro-image-preview (Pro).

3

Where are generated images saved?

Full-resolution PNG files are saved to `~/Pictures/image-gen/`. The tool also returns an inline JPEG thumbnail for immediate rendering.

4

What operating systems are supported?

Prebuilt `.mcpb` packages are available for darwin-arm64, darwin-x64, and win32-x64. Linux users can build from source.

5

How do I install the server manually?

Download the platform-matching `.mcpb`, extract it, and register with Claude Code using `claude mcp add` with environment variables for API keys. Alternatively, configure via `claude_desktop_config.json`.

コメント

「メディアとデザイン」の他のコンテンツ

Blaze

Blaze

Plan, create and schedule social media content from your AI assistant. Blaze makes on-brand posts, carousels and short videos, writes blog posts and newsletters, and schedules them to Instagram, TikTok, YouTube, LinkedIn

EmbedSocial

Connect Claude, ChatGPT, and other AI assistants to your social media content, reviews, and UGC aggregated via EmbedSocial.

Selfstorming

Selfstorm

Curated marketing libraries and an ideation engine for your AI. Connect Selfstorming to Claude, ChatGPT, Codex, Claude Code or Cursor and your assistant works from your project context plus: - 1,800+ award-winning campa

Uwear.ai

Uwear.ai

Run complete AI fashion photoshoots from ChatGPT, Claude, or Codex. Turn flat-lay, packshot, and mannequin product images into catalog-ready on-model photos and video with saved art direction, automatic QA, and catalog-s

Shotstack

Shotstack's official MCP server gives AI assistants direct access to the Shotstack video editing API, so you can produce video from a conversation instead of writing Edit JSON by hand. Available tools cover rendering vid

広告掲載