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organon-create-image

aurynsinclair/organon-create-image
0 starsUpdated 2026-03-06Community

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Works with

Claude CodeClaude DesktopCursorVS CodeClineCodex CLIOpenClaw+ any MCP client

Install to Claude Code

This server doesn't publish a one-line install command. Follow the setup in the source repository.

Summary

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

README.md

organon-create-image

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

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