Gemini Image Studio
Wraps Google Gemini's image generation API with a structured editing layer that goes beyond basic text-to-image. You generate an image, decompose it into a JSON blueprint mapping every visual component (hair color, lighting type, clothing items), then edit specific fields using dot-notation paths like `subject[0].hair.color` or plain English instructions. Comes with ten asset presets for Facebook ads, hero images, OG cards, and YouTube thumbnails. Supports reference images for character consistency, dual model selection (Flash or Pro), and caches blueprints alongside generated files for quick re-edits. Useful when you need repeatable control over image variations without redoing entire prompts.
- GitHub stars
- 1
- tools
- 5
- auth
- Secret needed
- transport
- STDIO
- env var
- 1
- last updated
- Mar 22, 2026
Tools
5 toolsPublic tool metadata for what this MCP can expose to an agent.
generate_imageCreate a new image from text or structured JSON prompts.
Create a new image from text or structured JSON prompts.
No parameter schema in public metadata yet.
decompose_imageAnalyze an image into a structured JSON blueprint — the first step of the edit workflow.
Analyze an image into a structured JSON blueprint — the first step of the edit workflow.
No parameter schema in public metadata yet.
edit_imageEdit an image using JSON changes or natural language.
Edit an image using JSON changes or natural language.
No parameter schema in public metadata yet.
get_presetsList available asset presets with dimensions, tips, and conventions.
List available asset presets with dimensions, tips, and conventions.
No parameter schema in public metadata yet.
list_generatedBrowse previously generated images.
Browse previously generated images.
No parameter schema in public metadata yet.
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GEMINI_API_KEY*secretGoogle AI Studio API key for Gemini
Readme
gemini-image-studio-mcp
MCP server for AI image generation and editing with Google Gemini. Create web assets, ad creatives, and brand visuals — with structured JSON editing for precise, repeatable control.
What Makes This Different
Most Gemini image MCP servers are basic text-to-image wrappers. This one adds a structured editing pipeline:
- Generate an image from text or JSON prompts
- Decompose it into a structured JSON blueprint (every visual component mapped)
- Edit by changing specific fields —
subject[0].hair.color: "platinum_blonde"— and regenerating
This means precise, isolated changes without affecting the rest of the image. Change a hair color without touching the background. Swap clothing without altering the pose. All through dot-notation JSON paths.
Features
Details
- Repository
- github.com/udhaykumarbala/gemini-image-studio-mcp
- Categories
- AI & LLM Tools, Data & Analytics
- Package
gemini-image-studio-mcp- Transport
- STDIO
- Auth
- Required
- Registry
- MCP registry, active
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