What makes Gemini Image Studio different from other image generation tools?
It uses a structured JSON editing pipeline: generate → decompose → edit specific fields → regenerate. This allows precise changes without affecting the rest of the image.
@udhaykumarbala
基本信息
MCP server for AI image generation and editing with Google Gemini (NanoBanana). Features structured JSON editing — decompose any image into a blueprint, then edit specific components with dot-notation paths. 5 tools, 10 built-in presets for ads, web, and social media.
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"gemini-image-studio-mcp": {
"command": "npx",
"args": [
"-y",
"gemini-image-studio-mcp"
],
"env": {
"GEMINI_API_KEY": "<YOUR_GEMINI_API_KEY>"
}
}
}
}Create a new image from text prompt, JSON prompt, or both. Supports presets for common asset types (ads, web, social).
Analyze an image and return a structured JSON blueprint of all visual components. Use this as the first step before editing an image with JSON changes.
Edit an existing image using structured JSON changes (dot-notation paths) or natural language instructions. For JSON edits, run decompose_image first to get the blueprint.
List available asset presets with dimensions, tips, and conventions for ads, web pages, and social media.
Browse and search previously generated images in the output directory, with optional metadata and blueprints.
Gemini Image Studio is an MCP server that integrates with Google's Gemini to generate, edit, and decompose images using text or JSON prompts. It offers preset support and a structured JSON editing pipeline for precise, targeted changes. It is designed for developers and content creators who need programmatic control over image generation and modification.
—
subject[0].hair.color) without affecting the rest of the imageIt uses a structured JSON editing pipeline: generate → decompose → edit specific fields → regenerate. This allows precise changes without affecting the rest of the image.
The server includes 10 built-in presets for common formats such as Facebook ads, Instagram stories, hero images, OG images, and YouTube thumbnails.
Yes, the `edit_image` tool supports both JSON dot-notation paths and natural language instructions for editing.

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