gemini-image-studio-mcp
An MCP server for AI image generation and editing using Google Gemini. It supports structured JSON editing for precise control, allowing agents to generate images, decompose them into blueprints, and edit specific fields via dot-notation paths. It includes features like natural language editing, built-in presets, reference image support, and dual model options.
Package and access
Local package with source-attributed installation metadata. Koskamo does not execute packages during review.
What you can do with it
- Generate images from text or JSON prompts
- Decompose images into structured JSON blueprints
- Edit specific image fields using dot-notation
- Apply built-in presets for social media assets
Source and maintenance
- Maintenance checked
Packages and installation
Source-provided package data. Koskamo has not executed or live-probed this package.
gemini-image-studio-mcp 1.0.2
{
"version": "1.0.2",
"transport": "stdio",
"identifier": "gemini-image-studio-mcp",
"registryType": "npm",
"environmentVariables": [
{
"name": "GEMINI_API_KEY",
"format": "string",
"isRequired": true,
"description": "Google AI Studio API key for Gemini"
}
]
}Tools
Reported by the attributed source; not independently observed by Koskamo.
Connect from your client
Each snippet configures the same source-provided package; replace placeholders before use.
Cursor
{
"mcpServers": {
"gemini-image-studio-mcp": {
"command": "npx",
"args": [
"-y",
"gemini-image-studio-mcp@1.0.2"
],
"env": {
"GEMINI_API_KEY": "<YOUR_GEMINI_API_KEY>"
}
}
}
}Cline
{
"mcpServers": {
"gemini-image-studio-mcp": {
"command": "npx",
"args": [
"-y",
"gemini-image-studio-mcp@1.0.2"
],
"env": {
"GEMINI_API_KEY": "<YOUR_GEMINI_API_KEY>"
}
}
}
}VS Code
{
"servers": {
"gemini-image-studio-mcp": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"gemini-image-studio-mcp@1.0.2"
],
"env": {
"GEMINI_API_KEY": "<YOUR_GEMINI_API_KEY>"
}
}
}
}Claude Desktop
{
"mcpServers": {
"gemini-image-studio-mcp": {
"command": "npx",
"args": [
"-y",
"gemini-image-studio-mcp@1.0.2"
],
"env": {
"GEMINI_API_KEY": "<YOUR_GEMINI_API_KEY>"
}
}
}
}Let your agent find its tools
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