Gemini Image Studio runs on your own machine — the client starts it, so there is no endpoint to ping. 142 installs a week from npm. Last commit 4 Apr 2026.
AI image generation and editing with Google Gemini. Structured JSON editing.
Today is the operative word: we check Gemini Image Studio every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.
This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.
claude mcp add gemini-image-studio -e 'GEMINI_API_KEY=<GEMINI_API_KEY>' -- npx -y gemini-image-studio-mcp
{
"mcpServers": {
"gemini-image-studio": {
"command": "npx",
"args": [
"-y",
"gemini-image-studio-mcp"
],
"env": {
"GEMINI_API_KEY": "<GEMINI_API_KEY>"
}
}
}
}
[mcp_servers.gemini-image-studio]
command = "npx"
args = ["-y", "gemini-image-studio-mcp"]
env = { GEMINI_API_KEY = "<GEMINI_API_KEY>" }
{
"mcpServers": {
"gemini-image-studio": {
"command": "npx",
"args": [
"-y",
"gemini-image-studio-mcp"
],
"env": {
"GEMINI_API_KEY": "<GEMINI_API_KEY>"
}
}
}
}
{
"servers": {
"gemini-image-studio": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"gemini-image-studio-mcp"
],
"env": {
"GEMINI_API_KEY": "<GEMINI_API_KEY>"
}
}
}
}
Put your own value in place of
<GEMINI_API_KEY> (Google AI Studio API key for Gemini).
The author’s registry entry marks it as required.
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