Gemini Image Studio
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.
Overview
Features
- generate_image — Create images from text or JSON prompts with preset support
- decompose_image — Analyze images into structured JSON blueprints
- edit_image — Edit via JSON dot-notation paths or natural language
- get_presets — 10 built-in presets (Facebook ads, Instagram stories, hero images, OG images, YouTube thumbnails, etc.)
- list_generated — Browse generated images with metadata and edit history
What Makes This Different
Structured JSON editing pipeline: generate → decompose → edit specific fields (e.g., subject[0].hair.color) → regenerate. Precise changes without affecting the rest of the image.
Server Config
{
"mcpServers": {
"gemini-image-studio-mcp": {
"command": "npx",
"args": [
"-y",
"gemini-image-studio-mcp"
],
"env": {
"GEMINI_API_KEY": "<YOUR_GEMINI_API_KEY>"
}
}
}
}Project Info
Created At
3 months agoUpdated At
3 months agoAuthor Name
udhaykumarbalaStar
-Language
-License
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