OpenAI Image MCP Server

A Model Context Protocol (MCP) server that provides conversational OpenAI image generation capabilities. Generate, edit, and refine images through multi-turn conversations with advanced models like GPT-4o and GPT-4.1.

🎯 What Problems Does This Solve?

Traditional Image Generation Pain Points

❌ Single-shot limitations - "Make it more blue" requires re-describing everything
❌ No conversation memory - Each request starts from scratch
❌ Context loss - Can't reference previous images naturally
❌ Manual workflows - Complex multi-step processes require multiple tools

Our Solution

✅ Conversational refinement - "Make it more blue" works naturally
✅ Session memory - Builds on previous context automatically
✅ Reference awareness - "Use the same style as the previous image"
✅ Integrated workflows - Single interface for complex creative projects

Related MCP server: AI Image MCP Server

🚀 Key Capabilities

🔄 Session-Based Conversations

# Start a focused session
session = create_image_session("Logo design for tech startup")

# Initial generation
result1 = generate_image_in_session(session_id, "modern tech logo")

# Natural refinement - no need to repeat everything
result2 = generate_image_in_session(session_id, "make it more minimalist")

# Build on context
result3 = generate_image_in_session(session_id, "try it in dark blue")

🔄 Hybrid Workflows

Start simple, expand when needed:

# Quick one-shot for immediate need
result = generate_image("modern office workspace")

# Later, promote to session for refinement
session = promote_image_to_session(
    result["image_path"],
    "Office workspace refinement project"
)

# Continue with conversational context
generate_image_in_session(session_id, "add more plants and warmer lighting")

🎨 Specialized Tools

• Product photography - E-commerce optimized with multiple angles

• UI/UX assets - Design elements with consistent styling

• Reference-based editing - Use existing images as style guides

• Batch processing - Multiple variations with consistent themes

🎯 Perfect For

LLM Applications

• Claude Desktop integration - Conversational image workflows

• AI assistants - Contextual image generation capabilities

• Chatbots - Visual content creation with memory

Creative Workflows

• Iterative design - Refine concepts through conversation

• Brand development - Consistent visual identity across assets

• Product visualization - Multiple angles and contexts

• Content creation - Blog headers, social media, presentations

Development Teams

• Rapid prototyping - Quick UI mockups and concepts

• Documentation - Visual aids and diagrams

• Marketing assets - Consistent brand imagery

• User testing - Visual variations for A/B testing

🚀 Quick Start

1. Installation

Requirements: Python 3.10 or higher

# Install the package
pip install openai-image-mcp

If you need to upgrade Python:

# Using pyenv (recommended)
pyenv install 3.11.8
pyenv global 3.11.8
pip install openai-image-mcp

# Or using Homebrew (macOS)
brew install python@3.11
python3.11 -m pip install openai-image-mcp

For development installation from source, see DEVELOPMENT.md

2. Claude Desktop Integration

Add to your Claude Desktop MCP configuration:

{
  "mcpServers": {
    "openai-image-mcp": {
      "command": "sh",
      "args": [
        "-c",
        "openai-image-mcp 2> mcp_server_stderr.log"
      ],
      "env": {
        "OPENAI_API_KEY": "your_openai_api_key_here"
      }
    }
  }
}

For development setup and alternative configurations, see DEVELOPMENT.md

3. Start Creating

# Create a session for your project
session = create_image_session("Website hero images")

# Generate with natural language
generate_image_in_session(session_id, "modern tech office with diverse team")

# Refine naturally
generate_image_in_session(session_id, "make the lighting warmer")

# Add context
generate_image_in_session(session_id, "create a mobile version of this scene")

🛠️ Available Tools

Core Session Management

• create_image_session - Start conversational session

• generate_image_in_session - Generate with context awareness

• get_session_status - View conversation history and progress

• close_session - End session and cleanup

Image Generation & Editing

• generate_image - General purpose (session optional)

• edit_image - Modify existing images

• generate_product_image - E-commerce optimized

• generate_ui_asset - UI/UX design elements

• analyze_and_improve_image - AI-powered image enhancement

Workflow Tools

• promote_image_to_session - Upgrade one-shot to conversational

• list_active_sessions - Manage multiple projects

• get_usage_guide - Comprehensive tool documentation

🎯 Usage Patterns

📱 Conversational Design Sessions (Recommended)

Best for: Multi-image projects, iterative refinement, brand consistency

session = create_image_session("App icon design")
generate_image_in_session(session_id, "colorful chat app icon")
generate_image_in_session(session_id, "make it more professional")
generate_image_in_session(session_id, "try different color schemes")

⚡ Quick One-Shot Generation

Best for: Immediate needs, single images, uncertain scope

generate_image("professional headshot for LinkedIn")
generate_product_image("wireless headphones", background_type="white")

🔄 Hybrid Start-Simple-Expand-Later

Best for: Testing concepts, uncertain requirements, flexible workflows

# Start quick
result = generate_image("logo concept for bakery")

# Expand when needed
session = promote_image_to_session(result["image_path"], "Bakery brand development")
generate_image_in_session(session_id, "create business card version")

🎨 Example Workflows

Brand Identity Development

session = create_image_session("TechCorp brand identity")

# Logo concepts
generate_image_in_session(session_id, "modern tech company logo")
generate_image_in_session(session_id, "make it more geometric and minimal")

# Expand to brand elements
generate_image_in_session(session_id, "business card design using this logo")
generate_image_in_session(session_id, "website header with the logo")

Product Marketing Suite

session = create_image_session("Wireless headphones marketing")

# Product shots
generate_product_image("premium wireless headphones", angle="45deg")
result = promote_image_to_session(previous_result["image_path"], "headphones campaign")

# Marketing variations
generate_image_in_session(session_id, "lifestyle shot with person using them")
generate_image_in_session(session_id, "create packaging design mockup")

📚 Documentation

• LLM.md - Comprehensive guide for LLMs using this server

• DEVELOPMENT.md - Technical implementation, testing, and contribution guide

📋 Requirements

• Python 3.10+ (3.11+ recommended)

• OpenAI API key with GPT-4o/GPT-4.1 access

• Poetry for dependency management (development only)

🔐 Environment Variables

• OPENAI_API_KEY (required) - Your OpenAI API key

• MCP_MAX_SESSIONS (optional) - Maximum concurrent sessions (default: 100)

• MCP_SESSION_TIMEOUT (optional) - Session timeout in seconds (default: 3600)

🤝 Contributing

We welcome contributions! Please see DEVELOPMENT.md for:

• Technical architecture details

• Development setup instructions

• Testing guidelines

• Code style requirements

📄 License

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

🔗 Related Resources

• Model Context Protocol - Protocol specification

• OpenAI Responses API - Underlying API

• Claude Desktop - Primary integration target