A
licenseA
qualityD
maintenanceAllows AI assistants to generate and transform high-quality images from text prompts using Google's Gemini model via the MCP protocol.
Last updated
3
33
MIT
GeminiMcpServer
by bowwowxx
Enables image generation and multimodal tasks using Google Gemini 2 API, allowing AI agents to create images from text prompts with configurable output formats and aspect ratios.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@GeminiMcpServergenerate a photorealistic image of a sunset over mountains"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
GeminiMcpServer
GeminiMcpServer 是一個 Model Context Protocol (MCP) 伺服器，可將 LM Studio（或其他支援 MCP 的客戶端）與 Google Gemini API 無縫連接，用於影像生成與多模態任務處理。
✨ 功能特色
🔗 完整 MCP 支援 – 與 LM Studio 等 MCP 客戶端即時整合。
🎨 影像生成 – 使用 Google Gemini 2 模型產生圖片。
🖼 多模態輸入 – （選用）同時處理文字與圖片輸入。
⚡ 本地與雲端混合流程 – 本地執行 LM Studio，同時利用 Gemini API 提供的雲端運算能力。
Related MCP server: Nano Banana MCP
📦 系統需求
Node.js v20
Google Gemini API Key（可於 Google AI Studio 申請）
MCP 相容客戶端（如 LM Studio）
🚀 安裝與設定
git clone git@github.com:bowwowxx/GeminiMcpServer.git
cd GeminiMcpServer
npm install建立 Google API Key：
建立新的 API 金鑰
設定環境變數：
在專案根目錄建立 .env 檔，並加入：
GEMINI_API_KEY="your_api_key_here"▶ 使用方式
啟動伺服器：
npm start執行測試：
npx tsx testapi.js此測試會使用 Gemini 2 的實驗性影像生成 API 建立圖片。
📡 MCP 請求範例
{
"tool": "generateImage",
"params": {
"prompt": "A photorealistic 3D rendered pig standing in a sunny field",
"outputFormat": "png",
"aspectRatio": "16:9"
}
}📡 LM Studio設定範例
{
"mcpServers": {
"GeminiMcpServer": {
"command": "npm",
"args": [
"run",
"start"
],
"cwd": "/Users/bowwow/github/GeminiMcpServer"
}
}
}
Maintenance
–Maintainers
–Response time
–Release cycle
–Releases (12mo)
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