Krea MCP Server

MCP server for Krea.ai - Generate stunning AI images and videos using Flux, Hailuo, Runway, Kling, Ideogram, Imagen, and 20+ other state-of-the-art models.

212+ developers have cloned this repo within 2 weeks. Works with Claude Desktop, Claude Code, Cursor, and any MCP-compatible client.

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Quick Start (No installation required!)

You can run the MCP server directly via npx:

{
  "mcpServers": {
    "krea": {
      "command": "npx",
      "args": [
        "-y",
        "@vmosaic/krea-mcp-server"
      ],
      "env": {
        "KREA_API_KEY": "YOUR_KREA_API_KEY"
      }
    }
  }
}

Why Krea MCP?

• 20+ AI Models - Access Flux, Ideogram, Imagen 4, Runway Gen-4, Hailuo, Kling, Pika, Veo 3, and more through one unified interface
• Text-to-Image - Generate photorealistic images, art, illustrations from text prompts
• Text-to-Video - Create AI videos with natural motion and cinematic quality
• Image-to-Video - Animate any image with AI-powered motion
• Custom Styles - Apply LoRA styles for consistent aesthetics
• Simple Setup - One command install, works instantly with Claude

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Optional Global Install

1. Install

npm install -g @vmosaic/krea-mcp-server

2. Get API Key

Get your API key from krea.ai

3. Run the global binary

krea-mcp

4. Configure Claude Desktop with the global binary

Add to ~/.config/claude/claude_desktop_config.json (Linux) or ~/Library/Application Support/Claude/claude_desktop_config.json (macOS):

{
  "mcpServers": {
    "krea": {
      "command": "krea-mcp",
      "env": {
        "KREA_API_KEY": "your-api-key-here"
      }
    }
  }
}

4b. Or configure Claude Code without a global install

claude mcp add krea -e KREA_API_KEY=your-api-key -- npx -y @vmosaic/krea-mcp-server

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Features

Image Generation

Generate images with state-of-the-art AI models:

"Generate a cyberpunk cityscape at sunset with neon lights reflecting on wet streets"

Supported models: Flux Dev, Flux Pro, Flux Schnell, Ideogram V2, Imagen 4, Krea 1, ChatGPT Image, Topaz, Bloom, and more.

Video Generation

Create AI videos from text or images:

"Create a video of a golden retriever running through a field of sunflowers"