A comprehensive Model Context Protocol (MCP) server that provides both **AI-powered image analysis** and **AI image generation** capabilities using
A comprehensive Model Context Protocol (MCP) server that provides both AI-powered image analysis and AI image generation capabilities using OpenAI's Vision
mcp[cli]>=1.9.4, openai>=1.90.0, pillow>=11.2.1, requests>=2.32.4Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.
Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.
| Tool | What it does |
|---|---|
| DALL | E 3: High quality, styles (vivid/natural), sizes: 1024x1024, 1792x1024, 1024x1792 |
| describe_image | |
| analyze_image_content | |
| compare_images | |
| get_image_metadata | |
| generate_image | |
| edit_image | |
| create_image_variations | |
| list_generated_images | |
| get_cache_info | |
| clear_image_cache |
{
"mcpServers": {
"ai-image-mcp": {
"command": "uv",
"args": [
"--directory",
"/absolute/path/to/ai-image-mcp",
"run",
"main.py"
],
"env": {
"OPENAI_API_KEY": "YOUR_OPENAI_API_KEY"
}
}
}
}From the project documentation. Replace placeholders and example paths before connecting.
mcp[cli]>=1.9.4, openai>=1.90.0, pillow>=11.2.1, requests>=2.32.4| Variable | Description | Required |
|---|---|---|
| OPENAI_API_KEY | Declared in the maintainer’s client configuration. | Check documentation |
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