sanxfxteam_gemini_mcp_server
by sanxfxteamGemini Image Generation MCP Server
This is a Model Context Protocol (MCP) server that provides image generation capabilities using Google's Gemini 2 API.
Quick Start
- Get Gemini API Key
- Visit Google AI Studio
-
Create a new API key
-
Configure Claude Desktop
- Locate your config file:
- Mac:
~/Library/Application Support/Claude/claude_desktop_config.json - Windows:
%APPDATA%\Claude\claude_desktop_config.json - Linux:
~/.config/Claude/claude_desktop_config.json
- Mac:
-
Add Gemini configuration:
json { "mcpServers": { "gemini-imagen": { "command": "npx", "args": ["-y", "github:sanxfxteam/gemini-mcp-server"], "env": { "GEMINI_API_KEY": "your_api_key_here" } } } } -
Restart Claude Desktop
Setup
-
Install dependencies:
shell npm install -
Set up your environment variables: Create a
.envfile in the root directory and add your Google API key:
GEMINI_API_KEY=your_api_key_here
Usage
Run the server:
npm start
To test:
npx @modelcontextprotocol/inspector npm run start
Available Tools
generateImage
Generates images using Gemini 2's experimental image generation API.
Parameters:
- prompt (string, required): The description of the image you want to generate
- numSamples (number, optional, default: 4): Number of images to generate
- aspectRatio (string, optional, default: '1:1'): Aspect ratio of the generated images
- personGeneration (string, optional, default: 'ALLOW_ADULT'): Person generation settings
Example MCP request:
{
"tool": "generateImage",
"params": {
"prompt": "A serene mountain landscape at sunset",
"numSamples": 2,
"aspectRatio": "16:9"
}
}
Notes
- This server uses the experimental image generation feature of Gemini 2
- Make sure you have appropriate access and API keys from Google
- The server communicates using the Model Context Protocol over stdio
About
Generate images using Gemini
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