Gemini Image Generation MCP

by collactivelabs

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GitHub

About

A Model Calling Protocol (MCP) server that allows Claude and other LLMs to generate images using Google's Gemini AI model.

Explore

- Generate images from text prompts using Google's Gemini model (gemini-2.0-flash-preview-image-generation)
- Save generated images locally
- Configure generation parameters like temperature, topK, and topP
- Interactive web interface for testing and demonstration
- Docker support for easy deployment
- Simple MCP standard implementation

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

Download and install Highlight from highlightai.com/download
Navigate to the plugins tab and select "Add Custom Plugin"
Configure the plugin with the settings below

Plugin Name Gemini Image Generation MCP

Command (node, npx, python, etc.)

Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
Enable "Start Automatically" if you want the plugin to start when Highlight launches

Setting up with Cursor

Open Cursor's settings
Navigate to the MCP section
Click "Add new Global MCP server"
Copy and paste the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "gemini image generation mcp": {
            "openai-image-generation": {
                "command": "node",
                "args": [
                    "/full/path/to/openai-image-gen-mcp/src/mcp-server.js"
                ],
                "env": {
                    "OPENAI_API_KEY": "your-openai-api-key-here"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "gemini image generation mcp": {
            "openai-image-generation": {
                "command": "node",
                "args": [
                    "/full/path/to/openai-image-gen-mcp/src/mcp-server.js"
                ],
                "env": {
                    "OPENAI_API_KEY": "your-openai-api-key-here"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "gemini image generation mcp": {
            "openai-image-generation": {
                "command": "node",
                "args": [
                    "/full/path/to/openai-image-gen-mcp/src/mcp-server.js"
                ],
                "env": {
                    "OPENAI_API_KEY": "your-openai-api-key-here"
                }
            }
        }
    }
}

Setting up with Claude Desktop

Open Claude Desktop's settings
Go to the Integrations tab
Click "Add MCP Server"
Use the configuration below based on your operating system

Note: Make sure Claude Desktop is running before attempting to connect.

JSON

{
    "mcpServers": {
        "gemini image generation mcp": {
            "openai-image-generation": {
                "command": "node",
                "args": [
                    "/full/path/to/openai-image-gen-mcp/src/mcp-server.js"
                ],
                "env": {
                    "OPENAI_API_KEY": "your-openai-api-key-here"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "gemini image generation mcp": {
            "openai-image-generation": {
                "command": "node",
                "args": [
                    "/full/path/to/openai-image-gen-mcp/src/mcp-server.js"
                ],
                "env": {
                    "OPENAI_API_KEY": "your-openai-api-key-here"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "gemini image generation mcp": {
            "openai-image-generation": {
                "command": "node",
                "args": [
                    "/full/path/to/openai-image-gen-mcp/src/mcp-server.js"
                ],
                "env": {
                    "OPENAI_API_KEY": "your-openai-api-key-here"
                }
            }
        }
    }
}

Setting up with Windsurf

Open Windsurf's preferences
Go to the Integrations section
Click "Add MCP Integration"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "gemini image generation mcp": {
            "openai-image-generation": {
                "command": "node",
                "args": [
                    "/full/path/to/openai-image-gen-mcp/src/mcp-server.js"
                ],
                "env": {
                    "OPENAI_API_KEY": "your-openai-api-key-here"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "gemini image generation mcp": {
            "openai-image-generation": {
                "command": "node",
                "args": [
                    "/full/path/to/openai-image-gen-mcp/src/mcp-server.js"
                ],
                "env": {
                    "OPENAI_API_KEY": "your-openai-api-key-here"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "gemini image generation mcp": {
            "openai-image-generation": {
                "command": "node",
                "args": [
                    "/full/path/to/openai-image-gen-mcp/src/mcp-server.js"
                ],
                "env": {
                    "OPENAI_API_KEY": "your-openai-api-key-here"
                }
            }
        }
    }
}

Setting up with Cline

Open Cline's settings
Navigate to the Integrations section
Click "Add MCP Server"
Copy and paste the configuration below based on your operating system

Note: Make sure to restart Cline after adding the configuration.

JSON

{
    "mcpServers": {
        "gemini image generation mcp": {
            "openai-image-generation": {
                "command": "node",
                "args": [
                    "/full/path/to/openai-image-gen-mcp/src/mcp-server.js"
                ],
                "env": {
                    "OPENAI_API_KEY": "your-openai-api-key-here"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "gemini image generation mcp": {
            "openai-image-generation": {
                "command": "node",
                "args": [
                    "/full/path/to/openai-image-gen-mcp/src/mcp-server.js"
                ],
                "env": {
                    "OPENAI_API_KEY": "your-openai-api-key-here"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "gemini image generation mcp": {
            "openai-image-generation": {
                "command": "node",
                "args": [
                    "/full/path/to/openai-image-gen-mcp/src/mcp-server.js"
                ],
                "env": {
                    "OPENAI_API_KEY": "your-openai-api-key-here"
                }
            }
        }
    }
}

Setting up with Goose

Open Goose's preferences
Go to the Integrations tab
Select "MCP Servers"
Click "Add New Server"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "gemini image generation mcp": {
            "openai-image-generation": {
                "command": "node",
                "args": [
                    "/full/path/to/openai-image-gen-mcp/src/mcp-server.js"
                ],
                "env": {
                    "OPENAI_API_KEY": "your-openai-api-key-here"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "gemini image generation mcp": {
            "openai-image-generation": {
                "command": "node",
                "args": [
                    "/full/path/to/openai-image-gen-mcp/src/mcp-server.js"
                ],
                "env": {
                    "OPENAI_API_KEY": "your-openai-api-key-here"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "gemini image generation mcp": {
            "openai-image-generation": {
                "command": "node",
                "args": [
                    "/full/path/to/openai-image-gen-mcp/src/mcp-server.js"
                ],
                "env": {
                    "OPENAI_API_KEY": "your-openai-api-key-here"
                }
            }
        }
    }
}

From the repository

- Node.js 18 or higher
- Google API key with access to Gemini API (specifically the image generation preview model)
- For Docker: Docker and Docker Compose

When making API requests to Claude, include the MCP configuration:

{
  "mcpServers": {
    "openai-image-generation": {
      "command": "node",
      "args": ["/full/path/to/openai-image-gen-mcp/src/mcp-server.js"],
      "env": {
        "OPENAI_API_KEY": "your-openai-api-key-here"
      }
    }
  }
}

1. Go to Developer Settings
2. Navigate to the MCPs section
3. Click "Add MCP"
4. Fill in the details:
- Name: gemini_image_generation
- URL: https://your-server-url.com/mcp
- Authentication (if implemented): Select Bearer Token and enter your token

The MCP server supports the following configuration options:

| Option | Description | Default |
|--------|-------------|---------|
| GEMINI_API_KEY | Google API key with Gemini access | (Required) |
| MCP_AUTH_TOKEN | Authentication token for MCP | (Optional) |
| PORT | Web server port | 3070 |
| OUTPUT_DIR | Directory for saved images | ./generated-images |
| LOG_LEVEL | Logging level (debug, info, warn, error) | info |

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "gemini image generation mcp": {
            "openai-image-generation": {
                "command": "node",
                "args": [
                    "/full/path/to/openai-image-gen-mcp/src/mcp-server.js"
                ],
                "env": {
                    "OPENAI_API_KEY": "your-openai-api-key-here"
                }
            }
        }
    }
}

McpServers

{
    "openai-image-generation": {
        "command": "node",
        "args": [
            "/full/path/to/openai-image-gen-mcp/src/mcp-server.js"
        ],
        "env": {
            "OPENAI_API_KEY": "your-openai-api-key-here"
        }
    }
}

A Model Calling Protocol (MCP) server that allows Claude and other LLMs to generate images using Google's Gemini AI model.

Overview

This MCP server enables Large Language Models (LLMs) like Claude to delegate image generation tasks to Google's Gemini model. It follows the MCP standard to provide a seamless integration experience.

Features

Prerequisites

- Node.js 18 or higher
- Google API key with access to Gemini API (specifically the image generation preview model)
- For Docker: Docker and Docker Compose

Getting Started

Installation

1. Clone this repository:

git clone https://your-repository-url/gemini-image-gen-mcp.git

cd gemini-image-gen-mcp

2. Install dependencies:

npm install

3. Create your environment configuration:

cp .env.example .env

4. Edit the .env file to add your Google API key:

GEMINI_API_KEY=your_gemini_api_key_here

Running the Server

Option 1: Using Node.js directly

For MCP server only:

node src/mcp-server.js

For web interface only:

node src/web-server.js

Or use the provided script:

```

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About

Explore

Setting up with Highlight

From the repository

Claude Desktop / Cursor

McpServers

Overview

Features

Prerequisites

Getting Started

Installation

Running the Server

Option 1: Using Node.js directly

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