npm install
npm run build

claude mcp add gemini-image --env GEMINI_API_KEY=your_key -- node /path/to/dist/index.js

{
  "mcpServers": {
    "gemini-image": {
      "command": "node",
      "args": ["/path/to/dist/index.js"],
      "env": {
        "GEMINI_API_KEY": "your_api_key_here"
      }
    }
  }
}

Install the gemini-image MCP server for me. Here's what you need to do:

1. Clone the repo and build it:
   git clone https://github.com/dfeirstein/gemini-image-mcp.git ~/.config/zed/mcp-servers/gemini-image-mcp
   cd ~/.config/zed/mcp-servers/gemini-image-mcp
   npm install
   npm run build

2. Add this to my Zed settings.json under "context_servers":
   {
     "context_servers": {
       "gemini-image": {
         "command": {
           "path": "node",
           "args": ["~/.config/zed/mcp-servers/gemini-image-mcp/dist/index.js"],
           "env": {
             "GEMINI_API_KEY": "YOUR_API_KEY_HERE"
           }
         }
       }
     }
   }

3. Remind me to replace YOUR_API_KEY_HERE with my actual Gemini API key from https://aistudio.google.com/apikey

The MCP provides three tools: generate_image, edit_image, and describe_image using Google's Gemini 3.0 (Nano Banana Pro) models.

Generate a cyberpunk cityscape at night with neon lights

Generate a detailed landscape at 4K resolution

Add sunglasses to this photo
Remove the background
Apply a watercolor style

What objects are in this image?
Describe the mood and composition