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Gemini Image

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An MCP server that provides image generation capabilities using Google's Gemini 2.5 Flash Image Preview model.

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Описание

An MCP server that provides image generation capabilities using Google's Gemini 2.5 Flash Image Preview model.

README

An MCP (Model Context Protocol) server that provides image generation capabilities using Google's Gemini 2.5 Flash Image Preview model.

Features

  • Text-to-Image Generation: Generate images from text prompts
  • Image-to-Image Generation: Transform existing images with text guidance
  • Resource Management: Access generated images through MCP resources
  • Automatic Cleanup: Auto-deletes images older than 8 hours on startup
  • Security: Built-in rate limiting, input validation, and file size limits

Installation

Prerequisites

You'll need a Google Gemini API key. Get one from Google AI Studio.

Option 1: Install with Claude Code (Recommended)

  1. Clone or download this repository to your local machine

  2. Add the MCP server using the Claude CLI:

macOS/Linux:

claude mcp add mcp-gemini-image --env GEMINI_API_KEY=your-api-key-here \
  -- node /absolute/path/to/mcp-gemini-image/index.js

Windows:

claude mcp add mcp-gemini-image --env GEMINI_API_KEY=your-api-key-here -- cmd /c node C:\absolute\path\to\mcp-gemini-image\index.js
  1. Restart Claude Code to load the server

Note: The -- separator is required to separate Claude CLI flags from the server command.

Option 2: Manual Configuration

Add this configuration to your Claude Desktop config file:

MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json Windows: %APPDATA%\Claude\claude_desktop_config.json

{
  "mcpServers": {
    "mcp-gemini-image": {
      "command": "node",
      "args": ["/absolute/path/to/mcp-gemini-image/index.js"],
      "env": {
        "GEMINI_API_KEY": "your-api-key-here"
      }
    }
  }
}

Option 3: Install with Gemini Code Assist

  1. Clone or download this repository to your local machine

  2. Open your Gemini settings file:

    • VS Code: ~/.gemini/settings.json
    • IntelliJ: Create mcp.json in your IDE's configuration directory
  3. Add the server configuration:

{
  "mcpServers": {
    "mcp-gemini-image": {
      "command": "node",
      "args": ["/absolute/path/to/mcp-gemini-image/index.js"],
      "env": {
        "GEMINI_API_KEY": "your-api-key-here"
      }
    }
  }
}
  1. Restart your IDE to load the MCP server

Option 4: Install with OpenAI Codex

  1. Clone or download this repository to your local machine

  2. Open your Codex config file: ~/.codex/config.toml

  3. Add the server configuration:

[mcp_servers.mcp-gemini-image]
command = "node"
args = ["/absolute/path/to/mcp-gemini-image/index.js"]
env = { "GEMINI_API_KEY" = "your-api-key-here" }
  1. Restart Codex to load the MCP server

Option 5: Install from NPM (if published)

npm install -g mcp-gemini-image

Then configure in your MCP client:

{
  "mcpServers": {
    "mcp-gemini-image": {
      "command": "mcp-gemini-image",
      "env": {
        "GEMINI_API_KEY": "your-api-key-here"
      }
    }
  }
}

Usage

Once configured, the server provides two tools:

generate_image

Generate an image from a text prompt.

Parameters:

  • prompt (string, required): Text description of the image to generate
  • input_image (string, optional): Base64-encoded input image for image-to-image generation
  • input_image_mime_type (string, optional): MIME type of input image (default: "image/png")

Example:

{
  "prompt": "A serene mountain landscape at sunset",
  "input_image": "base64encodeddata...",
  "input_image_mime_type": "image/jpeg"
}

cleanup_images

Delete generated images based on age.

Parameters:

  • max_age_hours (number, optional): Delete only images older than this many hours. If not specified, deletes all images.

Example:

{
  "max_age_hours": 24
}

Resources

Generated images are exposed as MCP resources with URIs in the format:

gemini-image:///<filename>

These resources can be read by MCP clients to access the generated images.

Security Features

  • Rate Limiting: 10 requests per minute
  • Input Validation: Validates prompts and base64 data
  • File Size Limits:
    • Generated images: 10MB max
    • Input images: 20MB max (base64)
    • Prompts: 10,000 characters max
  • Path Traversal Protection: Validates all file paths
  • Extension Whitelist: Only allows png, jpeg, jpg, webp, gif
  • Automatic Cleanup: Removes images older than 8 hours on startup

Development

Run the server directly:

npm start

The server uses stdio transport and is designed to be invoked by MCP clients.

File Structure

.
├── index.js           # Main server implementation
├── package.json       # NPM configuration
├── .gitignore        # Excludes generated_images/
├── CLAUDE.md         # Claude Code guidance
└── generated_images/ # Auto-generated images (created automatically)

Troubleshooting

"GEMINI_API_KEY environment variable is required"

Make sure you've set the GEMINI_API_KEY environment variable in your MCP client configuration.

"Rate limit exceeded"

The server limits requests to 10 per minute. Wait a moment before trying again.

"Invalid or unsupported image type"

Only png, jpeg, jpg, webp, and gif formats are supported.

License

MIT

from github.com/Earlybird-Technology/mcp-gemini-image

Установка Gemini Image

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

▸ github.com/Earlybird-Technology/mcp-gemini-image

FAQ

Gemini Image MCP бесплатный?

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

Нужен ли API-ключ для Gemini Image?

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

Gemini Image — hosted или self-hosted?

Self-hosted: сервер запускается локально на твоей машине командой из раздела установки.

Как установить Gemini Image в Claude Desktop, Claude Code или Cursor?

Открой Gemini 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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