Which integrations are available for this server?

Generates high-quality images using [ByteDance](/mcp/servers/integrations/bytedance)'s SeedDream-4 diffusion model via Replicate API with support for custom dimensions and various output formats. Generates photorealistic images using [Google](/mcp/servers/integrations/google)'s Imagen 4 model via custom endpoint with support for various quality settings and output formats. Generates images using Google's Gemini 2.5 Flash Image Preview model (Nano Banana) through the official Google SDK for fast, efficient image generation. Generates images using [OpenAI](/mcp/servers/integrations/openai)'s GPT-Image-1, DALL-E 3, and DALL-E 2 models with support for custom sizing, quality settings, multiple formats (PNG, JPEG, WebP), and background control for GPT-Image-1. Generates images using multiple state-of-the-art models including Flux 1.1 Pro, Qwen Image, and SeedDream-4 with support for custom dimensions, seed-based reproducible generation, and various output formats.

🎨 ImageGen MCP Server

A powerful MCP server for AI image generation with OpenAI GPT-Image-1, Google Imagen 4, Flux 1.1, Qwen Image, SeedDream-4, and Nano Banana (Gemini 2.5 Flash Image) support

🎬 Quick Demo

⚡ Instant (WritingMate.ai)

Visit WritingMate.ai
Say: "Generate an image of a cyberpunk city using Flux 1.1"
✅ Done! - No setup, no API keys needed

🛠️ Self-Setup (Other Clients)

# Install and run in one command npx imagegen-mcp-server

Then in your MCP client:

"Generate an image of a cyberpunk city using Flux 1.1"

✅ Result: High-quality image saved to outputs/ directory

An MCP (Model Context Protocol) server for AI image generation supporting:

GPT-Image-1 MCP: OpenAI's latest image generation model
Nano Banana MCP: Gemini 2.5 Flash Image Preview model
Google Imagen 4 MCP: Advanced photorealistic image generation
Flux 1.1 MCP: State-of-the-art prompt following via Replicate

🎨 Model Comparison

Same prompt: "A serene mountain landscape with a crystal clear lake reflecting snow-capped peaks, golden hour lighting, highly detailed"

✨ Features

Provider	Models	Keywords	Highlights
🤖 OpenAI	GPT-Image-1, DALL-E 3, DALL-E 2	`gpt-image-1 mcp`, `openai image gen`	Latest GPT-Image-1 with background control
🧠 Nano Banana	Gemini 2.5 Flash Image Preview	`nano banana mcp`	Fast generation via official Google SDK
🎨 Google Imagen	Imagen 4 (custom endpoint)	`google imagen 4 mcp`	Advanced photorealistic image generation
⚡ Replicate	Flux 1.1 Pro, Qwen Image, SeedDream-4	`flux 1.1 mcp`, `qwen image mcp`, `seedream-4 mcp`	Multiple cutting-edge models via Replicate

🎯 Core Capabilities

Multiple Output Formats: PNG, JPEG, WebP support
Flexible Sizing: Custom dimensions and aspect ratios
Base64 & File Output: Return images as base64 or save to disk
Seed Support: Reproducible generation with Flux
MCP Compatible: Works seamlessly with any MCP client

🆚 Setup Comparison

Client	Setup Required	API Keys	Configuration	Ready Time
WritingMate.ai	✅ None	✅ Pre-configured	✅ Built-in	Instant
Claude Desktop	Manual config	Your own keys	JSON editing	~5 minutes
Claude Code CLI	Command/config	Your own keys	Manual setup	~5 minutes
Other MCP clients	Manual setup	Your own keys	Client-specific	~5-10 minutes

🚀 Quick Start

Option 1: Install from npm (Recommended)

# Install globally npm install -g imagegen-mcp-server # Or use with npx (no installation required) npx imagegen-mcp-server

Option 2: Install from source

# Clone the repository git clone https://github.com/writingmate/imagegen-mcp.git cd imagegen-mcp # Install dependencies npm install # Build the project npm run build # Run the server npm start

Requirements

Node.js 18+
API keys: OPENAI_API_KEY, GOOGLE_API_KEY, and/or REPLICATE_API_TOKEN

Configuration

Create a .env file in your project directory:

# Required: OpenAI API Key for DALL-E models OPENAI_API_KEY=your-openai-api-key-here # Required: Google API Key for Imagen and Gemini GOOGLE_API_KEY=your-google-api-key-here # Required: Replicate API Token for Flux models REPLICATE_API_TOKEN=your-replicate-api-token-here # Optional: Custom Google Imagen endpoint GOOGLE_IMAGEN_ENDPOINT= # Optional: Output directory for generated images (default: outputs) OUTPUT_DIR=outputs

🔧 Setup & Configuration

1. Get API Keys

You'll need at least one of these API keys:

Provider	How to Get API Key	Cost
OpenAI	Get OpenAI API Key	~$0.02-0.08 per image
Google	Get Google API Key	Free tier available
Replicate	Get Replicate Token	~$0.003-0.01 per image

2. Configure Environment

Create a .env file in your project directory:

# Add the API keys for the providers you want to use OPENAI_API_KEY=your-openai-api-key-here GOOGLE_API_KEY=your-google-api-key-here REPLICATE_API_TOKEN=your-replicate-api-token-here # Optional settings OUTPUT_DIR=outputs GOOGLE_IMAGEN_ENDPOINT=

3. Add to Your MCP Client

Choose your preferred MCP client:

🚀 WritingMate.ai (Recommended - Zero Setup!)

✨ Already installed and configured! No setup required.

Visit WritingMate.ai
Start generating images immediately: "Generate an image of a sunset using Flux"
All providers pre-configured and ready to use

💡 Why WritingMate.ai? ImageGen MCP Server comes pre-installed with all API keys configured. Just start creating!

🖥️ Claude Desktop

macOS: ~/Library/Application Support/Claude/claude_desktop_config.json Windows: %APPDATA%/Claude/claude_desktop_config.json

{ "mcpServers": { "imagegen": { "command": "npx", "args": ["imagegen-mcp-server"] } } }

⌨️ Claude Code CLI

Add to your MCP configuration:

# Add to Claude Code MCP settings claude-code config mcp add imagegen npx imagegen-mcp-server

Or manually configure in your Claude Code settings file:

{ "mcpServers": { "imagegen": { "command": "npx", "args": ["imagegen-mcp-server"] } } }

📝 Codeium CLI (Codex)

Add to your Codeium MCP configuration:

{ "mcp_servers": { "imagegen": { "command": "npx", "args": ["imagegen-mcp-server"], "env": {} } } }

🔧 Other MCP Clients

For any MCP-compatible client, use:

Command: npx imagegen-mcp-server

Environment: Ensure your .env file is in the working directory with your API keys.

4. Test the Installation

# Test if the server starts correctly npx imagegen-mcp-server # Or if installed globally imagegen-mcp-server

Available Tools

1. OpenAI GPT-Image-1 MCP (`image.generate.openai`)

Generate images using OpenAI's latest GPT-Image-1 model and DALL-E series. This OpenAI image gen MCP tool supports the newest GPT-Image-1 with advanced background control.

Parameters:

{ prompt: string; // Required: Image description model?: string; // "dall-e-2", "dall-e-3", "gpt-image-1" (default) size?: string; // "1024x1024", "1792x1024", "1024x1792", etc. width?: number; // Alternative to size height?: number; // Alternative to size quality?: "standard" | "hd" | "low" | "medium" | "high" | "auto"; format?: "png" | "jpeg" | "jpg" | "webp"; background?: "transparent" | "opaque" | "auto"; // gpt-image-1 only style?: "vivid" | "natural"; // DALL-E 3 only returnBase64?: boolean; // Include base64 in response filenameHint?: string; // Custom filename prefix }

Model-specific features:

DALL-E 2: Basic generation, sizes: 256×256, 512×512, 1024×1024
DALL-E 3: High-quality generation, sizes: 1024×1024, 1792×1024, 1024×1792
GPT-Image-1: Latest model with background control, multiple formats, flexible sizing

2. Google Imagen 4 MCP (`image.generate.google`)

Generate images using Google's advanced Imagen 4 model via custom endpoint. This Google Imagen 4 MCP integration provides cutting-edge photorealistic image generation.

Parameters:

{ prompt: string; // Required: Image description model?: string; // Model name size?: string; // Image dimensions quality?: string; // Quality setting format?: "png" | "jpeg" | "jpg" | "webp"; returnBase64?: boolean; filenameHint?: string; }

Requirements:

Set GOOGLE_IMAGEN_ENDPOINT in your .env file
Endpoint should accept POST requests with JSON payload
Response format: { image: { base64: string, mimeType?: string } }

3. Nano Banana MCP (`image.generate.gemini`)

Generate images using Google's Gemini 2.5 Flash Image Preview model (also known as "Nano Banana MCP"). This nano banana implementation provides fast, efficient image generation via Google's official SDK.

Parameters:

{ prompt: string; // Required: Image description model?: string; // Default: "gemini-2.5-flash-image-preview" returnBase64?: boolean; filenameHint?: string; }

4. Replicate Models MCP (`image.generate.replicate`)

Generate images using multiple cutting-edge models via Replicate API:

Flux 1.1 MCP: black-forest-labs/flux-1.1-pro (default) - State-of-the-art prompt following
Qwen Image MCP: qwen/qwen-image - Advanced AI image generation
SeedDream-4 MCP: bytedance/seedream-4 - High-quality diffusion model

Parameters:

{ prompt: string; // Required: Image description model?: string; // Default: "black-forest-labs/flux-1.1-pro" width?: number; // Image width (default: 1024) height?: number; // Image height (default: 1024) size?: string; // Alternative format: "1024x1024" format?: "png" | "jpeg" | "jpg" | "webp"; seed?: number; // Reproducible generation returnBase64?: boolean; filenameHint?: string; }

Flux Model Features:

Flux 1.1 Pro: State-of-the-art image quality and prompt following
High Resolution: Supports various aspect ratios and sizes
Fast Generation: Optimized for speed and quality
Seed Support: Reproducible image generation

Examples

Generate with OpenAI GPT-Image-1

const result = await mcpClient.callTool("image.generate.openai", { prompt: "A serene mountain landscape at sunset", model: "gpt-image-1", size: "1536x1024", format: "webp", background: "transparent", quality: "high" });

Generate with Google Gemini

const result = await mcpClient.callTool("image.generate.gemini", { prompt: "A futuristic city with flying cars", returnBase64: true });

Generate with Flux 1.1

const result = await mcpClient.callTool("image.generate.replicate", { prompt: "A detailed portrait of a robot in a cyberpunk setting", model: "black-forest-labs/flux-1.1-pro", // Default model width: 1024, height: 1536, seed: 12345, format: "png" });

Generate with Qwen Image

const result = await mcpClient.callTool("image.generate.replicate", { prompt: "A traditional Chinese landscape painting with mountains and rivers", model: "qwen/qwen-image", width: 1024, height: 1024 });

Generate with SeedDream-4

const result = await mcpClient.callTool("image.generate.replicate", { prompt: "A vibrant abstract art piece with flowing colors", model: "bytedance/seedream-4", width: 1024, height: 1024 // Minimum 1024x1024 required });

Output Format

All tools return a consistent response format:

{ content: [ { type: "text", text: "provider=openai model=gpt-image-1 saved=/path/to/image.png" }, { type: "image", // Only if returnBase64: true data: "base64data", mimeType: "image/png" } ] }

Generated images are automatically saved to the configured output directory with timestamped filenames.

Publishing to npm

The package is ready for npm publishing:

# Update version npm version patch|minor|major # Publish npm publish

API Keys Setup

OpenAI API Key

Visit OpenAI API Keys
Create a new API key
Add to .env as OPENAI_API_KEY

Google API Key

Visit Google AI Studio
Create API key and enable required APIs
Add to .env as GOOGLE_API_KEY

Replicate API Token

Visit Replicate
Sign up and go to your account settings
Create an API token
Add to .env as REPLICATE_API_TOKEN

Development

npm install # Install dependencies npm run dev # Development with hot reload npm run build # Build for production npm start # Start production server

License

This project is licensed under the MIT License - see the LICENSE file for details.

💡 Brought to you by

WritingMate.ai - All-in-One AI Platform

The team behind WritingMate.ai brings you powerful AI tools and integrations

🎨 ImageGen MCP Server

🎬 Quick Demo

⚡ Instant (WritingMate.ai)

🛠️ Self-Setup (Other Clients)

🎨 Model Comparison

✨ Features

🎯 Core Capabilities

🆚 Setup Comparison

🚀 Quick Start

Option 1: Install from npm (Recommended)

Option 2: Install from source

Requirements

Configuration

🔧 Setup & Configuration

1. Get API Keys

2. Configure Environment

3. Add to Your MCP Client

🚀 WritingMate.ai (Recommended - Zero Setup!)

🖥️ Claude Desktop

⌨️ Claude Code CLI

📝 Codeium CLI (Codex)

🔧 Other MCP Clients

4. Test the Installation

Available Tools

1. OpenAI GPT-Image-1 MCP (image.generate.openai)

2. Google Imagen 4 MCP (image.generate.google)

3. Nano Banana MCP (image.generate.gemini)

4. Replicate Models MCP (image.generate.replicate)

Examples

Generate with OpenAI GPT-Image-1

Generate with Google Gemini

Generate with Flux 1.1

Generate with Qwen Image

Generate with SeedDream-4

Output Format

Publishing to npm

API Keys Setup

OpenAI API Key

Google API Key

Replicate API Token

Development

License

💡 Brought to you by

Resources

New MCP Servers

Latest Blog Posts

MCP directory API

1. OpenAI GPT-Image-1 MCP (`image.generate.openai`)

2. Google Imagen 4 MCP (`image.generate.google`)

3. Nano Banana MCP (`image.generate.gemini`)

4. Replicate Models MCP (`image.generate.replicate`)