GeminiMcpServer

GeminiMcpServer

Enables seamless integration between MCP-compatible clients (like LM Studio) and Google Gemini API for image generation and multimodal tasks. Provides a hybrid local-cloud workflow combining local LM Studio execution with Gemini's cloud-powered image generation capabilities.

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README

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。

mole

✨ 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。

📦 系統需求

🚀 安裝與設定

git clone git@github.com:bowwowxx/GeminiMcpServer.git
cd GeminiMcpServer
npm install

建立 Google API Key：

  1. 前往 Google AI Studio
  2. 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。

mole

📡 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"
    }
  }
}

mole

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