Media · Local MCP server

Gemini Image Studio

AI image generation and editing with Google Gemini. Structured JSON editing.

What the MCP Registry states

The entry as published to the official MCP Registry (read 2026-10-04), latest version.

Registry name
io.github.udhaykumarbala/gemini-image-studio
Version
1.0.2
Status
Active
Category
media
Transport
stdio (local process)
Package
npm
Published
2026-03-22
Updated
2026-03-22
Publisher
udhaykumarbala (GitHub)
Listed under
Gemini MCP servers
Repository
github.com/udhaykumarbala/gemini-image-studio-mcp
Source
Registry API entry

Packages

RegistryPackageVersionTransportEnvironment variables
npmgemini-image-studio-mcp1.0.2stdioGEMINI_API_KEY (required, secret)

How to connect Gemini Image Studio

Gemini Image Studio runs locally from a Node.js package published to the npm registry: gemini-image-studio-mcp version 1.0.2. It speaks MCP over stdio, so the client starts it as a program and talks to it through standard input and output. It needs Node.js; clients usually start it with npx — the usual command is npx -y gemini-image-studio-mcp@1.0.2. It reads the environment variable GEMINI_API_KEY (required, secret); set it in the client's configuration for this server.

In the mcpServers JSON format that many desktop and editor MCP clients read, the entry looks like this (placeholders in angle brackets):

{
  "mcpServers": {
    "gemini-image-studio": {
      "command": "npx",
      "args": [
        "-y",
        "gemini-image-studio-mcp@1.0.2"
      ],
      "env": {
        "GEMINI_API_KEY": "<secret>"
      }
    }
  }
}

Derived from the registry entry, not tested here. What the server does, and on what terms, is set by its publisher; check its repository or website before giving it access to your accounts or files. How to add an MCP server to an assistant · Before you connect

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