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The gemini-image-studio-mcp MCP server was last committed today and has 1 contributor. Issue health: 50% of issues resolved. AgentRank freshness score reflects real-time maintenance activity.

gemini-image-studio-mcp MCP Server

Name: udhaykumarbala/gemini-image-studio-mcp
Rating: 3.1 (1 reviews)
Author: udhaykumarbala

udhaykumarbala/gemini-image-studio-mcp

Score: 53.3 Rank #53 MCP Server

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MCP server for AI image generation & editing with Google Gemini. Structured JSON editing for precise control. Powered by Nano Banana.

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Overview

udhaykumarbala/gemini-image-studio-mcp is a TypeScript MCP server licensed under MIT. MCP server for AI image generation & editing with Google Gemini. Structured JSON editing for precise control. Powered by Nano Banana. Topics: ai, claude, claude-code, cursor, gemini, google-gemini, image-editing, image-generation, mcp, mcp-server, model-context-protocol, nano-banana, nanobanana, text-to-image.

Ranked #53 out of 109 indexed tools.

Actively maintained with commits in the last week.

Ecosystem

TypeScript MIT

aiclaudeclaude-codecursorgeminigoogle-geminiimage-editingimage-generationmcpmcp-servermodel-context-protocolnano-bananananobananatext-to-image

Score Breakdown

Stars 15% 1

1 stars → early stage

Freshness 25% today

Last commit today → actively maintained

Issue Health 25% 50%

No issues filed → no history to score

Contributors 10% 1

1 contributor → solo project

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A

PyPI Downloads N/A

Forks 0

Description Good

License MIT

Weights: Freshness 25% · Issue Health 25% · Dependents 25% · Stars 15% · Contributors 10% · How we score →

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Dependents medium impact

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Details

Stars: 1
Forks: 0
Open Issues: 0
Closed Issues: 0
Contributors: 1
Dependents: —
Language: TypeScript
License: MIT
Last Commit: today

Matched Queries

"mcp server""mcp-server"

From the 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**:

1. **Generate** an image from text or JSON prompts
2. **Decompose** it into a structured JSON blueprint (every visual component mapped)
3. **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

- **5 MCP Tools** — generate, decompose, edit, presets, list
- **Structured JSON Editing** — decompose images into blueprints, edit specific fields with dot-notation
- **Natural Lang

Read full README on GitHub →