Gemini MCP Image Generation Server
# Gemini Image Generation MCP Server
This is a Model Context Protocol (MCP) server that provides image generation capabilities using Google's Gemini 2 API.
<a href="https://glama.ai/mcp/servers/@sanxfxteam/gemini-mcp-server">
<img width="380" height="200" src="https://glama.ai/mcp/servers/@sanxfxteam/gemini-mcp-server/badge" alt="Gemini Image Generation Server MCP server" />
</a>
## Quick Start
1. **Get Gemini API Key**
- Visit [Google AI Studio](https://makersuite.google.com/app/apikey)
- Create a new API key
2. **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
```
- Add Gemini configuration:
```json
{
"mcpServers": {
"gemini-imagen": {
"command": "npx",
"args": ["-y", "github:sanxfxteam/gemini-mcp-server"],
"env": {
"GEMINI_API_KEY": "your_api_key_here"
}
}
}
}
```
3. **Restart Claude Desktop**
## Setup
1. Install dependencies:
```bash
npm install
```
2. Set up your environment variables:
Create a `.env` file in the root directory and add your Google API key:
```
GEMINI_API_KEY=your_api_key_here
```
## Usage
Run the server:
```bash
npm start
```
To test
```bash
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:
```json
{
"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 stdioTDQS
Scored across 1 tool
With only one tool, there is no possibility of ambiguity or overlap between tools. The single tool 'generateImage' stands alone with a distinct purpose.
A single tool inherently has perfect naming consistency, as there are no other tools to compare it against. The name 'generateImage' follows a clear verb_noun pattern.
One tool is too few for a server named 'Gemini MCP Image Generation Server', which suggests a broader scope for image generation tasks. A single tool feels thin and incomplete for this domain.
The server is severely incomplete for image generation. It lacks essential operations like listing generated images, editing or modifying images, deleting images, or handling different image formats or styles, leaving significant gaps in functionality.