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Organon Create Image

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MCP server for generating images using Gemini, supporting multiple aspect ratios and both AI Studio and Vertex AI backends.

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Описание

MCP server for generating images using Gemini, supporting multiple aspect ratios and both AI Studio and Vertex AI backends.

README

MCP server for image generation using Gemini.

Features

  • Text-to-image generation via Gemini (default: gemini-3-pro-image-preview)
  • Multiple aspect ratio support (1:1, 16:9, 9:16, etc.)
  • Returns generated images both as files and inline via MCP image content type
  • Supports both AI Studio (API key) and Vertex AI (service account) backends

Prerequisites

  • Node.js 18+
  • One of the following:
    • AI Studio: A Gemini API key from Google AI Studio
    • Vertex AI: A Google Cloud project with Vertex AI API enabled + Application Default Credentials

Setup

npm install
npm run build

Configuration

Environment Variables

Variable Required Default Description
GEMINI_API_KEY Option 1 AI Studio API key (takes priority over Vertex AI)
VERTEX_PROJECT Option 2 Google Cloud project ID (Vertex AI)
VERTEX_LOCATION No us-central1 Vertex AI location

Note: Set either GEMINI_API_KEY or VERTEX_PROJECT. If both are set, GEMINI_API_KEY takes priority.

Claude Code MCP Registration

AI Studio (recommended for access to preview models):

{
  "mcpServers": {
    "create-image": {
      "command": "node",
      "args": ["/path/to/organon-create-image/dist/index.js"],
      "env": {
        "GEMINI_API_KEY": "your-api-key"
      }
    }
  }
}

Vertex AI:

{
  "mcpServers": {
    "create-image": {
      "command": "node",
      "args": ["/path/to/organon-create-image/dist/index.js"],
      "env": {
        "VERTEX_PROJECT": "your-gcp-project-id"
      }
    }
  }
}

Tools

generate_image

Generate an image from a text prompt.

Parameters:

Parameter Type Required Default Description
prompt string Yes Text prompt for image generation (English recommended)
aspect_ratio enum No "1:1" Aspect ratio: 1:1, 3:2, 2:3, 3:4, 4:3, 4:5, 5:4, 9:16, 16:9, 21:9
output_path string Yes File path to save the generated image (.png)
model string No "gemini-3-pro-image-preview" Gemini model name (e.g. gemini-2.5-flash-image)

Returns: Generated image saved to output_path, plus inline image via MCP image content type.

Quality Checks

Run all quality checks at once:

npm run check:all

This executes the following checks in sequence:

Script Check Tool
typecheck Type checking (strict) tsc --noEmit
lint Linter + cyclomatic complexity ESLint + typescript-eslint
format:check Code formatting Prettier
test:coverage Tests + coverage report Vitest + V8
audit Known CVE scan npm audit
audit:lockfile Lockfile integrity lockfile-lint
sast Security static analysis Semgrep

Note: Semgrep requires a separate installation via pip. See QUALITY.md for setup details.

License

MIT

from github.com/aurynsinclair/organon-create-image

Установка Organon Create Image

У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.

▸ github.com/aurynsinclair/organon-create-image

FAQ

Organon Create Image MCP бесплатный?

Да, Organon Create Image MCP бесплатный — установка в пару кликов через Unyly без оплаты.

Нужен ли API-ключ для Organon Create Image?

Нет, Organon Create Image работает без API-ключей и переменных окружения.

Organon Create Image — hosted или self-hosted?

Доступен hosted-вариант: Unyly запускает сервер в облаке, локальная установка не обязательна.

Как установить Organon Create Image в Claude Desktop, Claude Code или Cursor?

Открой Organon Create Image на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.

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