Gemini Image Generation MCP server

GeminiMcpServer is a Model Context Protocol (MCP) server that connects LM Studio (or other MCP-compatible clients) with Google Gemini API for image generation and multimodal task processing. It provides a bridge between local applications and Google's cloud-based AI capabilities for seamless integration.

Installation and Setup

Prerequisites

• Node.js v20
• Google Gemini API Key
• MCP-compatible client (such as LM Studio)

Installation Steps

1. Clone the repository and install dependencies:

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

2. Get a Google API Key:

   • Visit Google AI Studio
   • Create a new API key

3. Configure environment variables:

   • Create a .env file in the project root directory
   • Add your API key:

     GEMINI_API_KEY="your_api_key_here"
     

Usage

Starting the Server

Launch the MCP server with:

npm start

Testing the Installation

To verify everything is working correctly:

npx tsx testapi.js

This test will use Gemini 2's experimental image generation API to create an image.

LM Studio Configuration

To connect LM Studio with the GeminiMcpServer, use the following configuration:

{
  "mcpServers": {
    "GeminiMcpServer": {
      "command": "npm",
      "args": [
        "run",
        "start"
      ],
      "cwd": "/path/to/your/GeminiMcpServer"
    }
  }
}

Remember to replace /path/to/your/GeminiMcpServer with the actual path where you've installed the server.

MCP Request Examples

Image Generation

To generate an image through the MCP server:

{
  "tool": "generateImage",
  "params": {
    "prompt": "A photorealistic 3D rendered pig standing in a sunny field",
    "outputFormat": "png",
    "aspectRatio": "16:9"
  }
}

Key Features

• Complete MCP Support - Real-time integration with MCP clients like LM Studio
• Image Generation - Create images using Google Gemini 2 models
• Multimodal Input - Process both text and image inputs (optional)
• Hybrid Local/Cloud Workflow - Run LM Studio locally while leveraging cloud computing power from Gemini API

How to install this MCP server

For Claude Code

To add this MCP server to Claude Code, run this command in your terminal:

claude mcp add-json "GeminiMcpServer" '{"command":"npm","args":["run","start"],"cwd":"${workspaceFolder}"}'

See the official Claude Code MCP documentation for more details.

For Cursor

There are two ways to add an MCP server to Cursor. The most common way is to add the server globally in the ~/.cursor/mcp.json file so that it is available in all of your projects.

If you only need the server in a single project, you can add it to the project instead by creating or adding it to the .cursor/mcp.json file.

Adding an MCP server to Cursor globally

To add a global MCP server go to Cursor Settings > Tools & Integrations and click "New MCP Server".

When you click that button the ~/.cursor/mcp.json file will be opened and you can add your server like this:

{
    "mcpServers": {
        "GeminiMcpServer": {
            "command": "npm",
            "args": [
                "run",
                "start"
            ],
            "cwd": "${workspaceFolder}"
        }
    }
}

Adding an MCP server to a project

To add an MCP server to a project you can create a new .cursor/mcp.json file or add it to the existing one. This will look exactly the same as the global MCP server example above.

How to use the MCP server

Once the server is installed, you might need to head back to Settings > MCP and click the refresh button.

The Cursor agent will then be able to see the available tools the added MCP server has available and will call them when it needs to.

You can also explicitly ask the agent to use the tool by mentioning the tool name and describing what the function does.

For Claude Desktop

To add this MCP server to Claude Desktop:

1. Find your configuration file:

• macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
• Windows: %APPDATA%\Claude\claude_desktop_config.json
• Linux: ~/.config/Claude/claude_desktop_config.json

2. Add this to your configuration file:

{
    "mcpServers": {
        "GeminiMcpServer": {
            "command": "npm",
            "args": [
                "run",
                "start"
            ],
            "cwd": "${workspaceFolder}"
        }
    }
}

3. Restart Claude Desktop for the changes to take effect