Kie AI MCP Server

Universal MCP server for all Kie AI image generation and editing models. One server, every model — pick the one you want at call time.

What's New in v2.2

• GPT Image 2 Text-to-Image (gpt-image-2-text-to-image) — OpenAI's GPT Image 2 text-to-image generation with broad aspect-ratio support (including auto) and long-form prompts up to 20,000 characters.
• GPT Image 2 Image-to-Image (gpt-image-2-image-to-image) — Transform or extend reference images with a natural-language prompt. Supports up to 30MB per reference image.

What's New in v2.1

• Seedream 5 Lite Text-to-Image (seedream/5-lite-text-to-image) — ByteDance's latest lightweight generation model with high-quality output by default.
• Seedream 5 Lite Image-to-Image (seedream/5-lite-image-to-image) — Transform existing images with natural language. Change lighting, styles, effects, and more. Defaults to high quality output.

Supported Models

Generation (text-to-image / image-to-image)

| Model ID | Name | Highlights | |----------|------|------------| | nano-banana-pro | Nano Banana Pro | Best all-around. 4K, text rendering, up to 8 ref images | | google/nano-banana | Nano Banana | Fast, affordable Gemini-based generation | | nano-banana-2 | Nano Banana 2 | Second-gen improvements | | seedream/5-lite-text-to-image | Seedream 5 Lite | ByteDance's latest. High quality by default | | seedream/5-lite-image-to-image | Seedream 5 Lite I2I | Transform images with natural language. High quality default | | seedream/4.5-text-to-image | Seedream 4.5 | ByteDance. Photorealistic, 2K/4K quality modes | | flux-2/pro-text-to-image | Flux 2 Pro | Photoreal detail, accurate text rendering | | flux-2/pro-image-to-image | Flux 2 Pro I2I | Style transfer, outfit changes, up to 8 refs | | flux-2/flex-text-to-image | Flux 2 Flex | Good quality/cost ratio | | flux-2/flex-image-to-image | Flux 2 Flex I2I | Flexible transformations, lower cost | | flux-1/kontext | Flux 1 Kontext | Context-aware generation | | imagen-4 | Imagen 4 | Google's latest, excellent fidelity | | ideogram/v3 | Ideogram V3 | Best-in-class text/typography in images | | ideogram/character | Ideogram Character | Consistent character generation | | gpt-image-2-text-to-image | GPT Image 2 T2I | OpenAI GPT Image 2, long prompts, auto aspect ratio | | gpt-image-2-image-to-image | GPT Image 2 I2I | OpenAI GPT Image 2 image-to-image, up to 30MB refs | | 4o-image | 4o Image | OpenAI 4o-based generation | | z-image | Z-Image | Alternative generation model |

Editing (image-edit)

| Model ID | Name | Highlights | |----------|------|------------| | seedream/4.5-edit | Seedream 4.5 Edit | Material, lighting, style changes. 4K output | | google/nano-banana-edit | Nano Banana Edit | Gemini-based editing. Fast and cheap | | qwen/image-edit | Qwen Image Edit | Alibaba's general-purpose editor |

Tools

| Tool | Description | |------|-------------| | kie_list_models | List all available models with capabilities and parameters | | kie_generate_image | Generate an image (text-to-image or image-to-image) | | kie_edit_image | Edit an existing image with natural language | | kie_get_task_status | Check task status and get result URLs |

Quick Start (npx — no install needed)

1. Get your API key

Go to kie.ai/api-key and create an API key.

2. Add to Claude Desktop / Claude Code

Add this to your MCP settings (e.g. claude_desktop_config.json):

{
  "mcpServers": {
    "kie-ai": {
      "command": "npx",
      "args": ["-y", "kie-ai-mcp-server"],
      "env": {
        "KIE_AI_API_KEY": "your_api_key_here"
      }
    }
  }
}

That's it. npx downloads and runs the server automatically — no cloning, no building.

Alternative: Install from source

git clone https://github.com/spiritbird-ai/kie-ai-mcp-server.git
cd kie-ai-mcp-server
npm install
npm run build

Then use this config instead:

{
  "mcpServers": {
    "kie-ai": {
      "command": "node",
      "args": ["/path/to/kie-ai-mcp-server/dist/index.js"],
      "env": {
        "KIE_AI_API_KEY": "your_api_key_here"
      }
    }
  }
}

Usage Examples

Generate an image

Use kie_generate_image with model "nano-banana-pro", prompt "A cozy coffee shop interior with warm lighting, watercolor style", aspect_ratio "16:9", resolution "2K"

Edit an image

Use kie_edit_image with model "seedream/4.5-edit", prompt "Change the background to a tropical beach at sunset", image_urls ["https://example.com/my-photo.jpg"]

Check task status

Use kie_get_task_status with task_id "abc123..."

Environment Variables

| Variable | Required | Default | Description | |----------|----------|---------|-------------| | KIE_AI_API_KEY | Yes | — | Your Kie AI API key | | KIE_AI_BASE_URL | No | https://api.kie.ai/api/v1 | API base URL | | KIE_AI_TIMEOUT | No | 60000 | Request timeout in ms |

How It Works

All Kie AI models share the same API pattern:

1. Create task: POST /jobs/createTask with { model, input }
2. Poll status: GET /jobs/recordInfo?taskId=...
3. Get result: When state === "success", the result URLs are in resultJson

This server wraps that pattern into clean MCP tools with model-specific parameter validation.

Adding New Models

To add a new Kie AI model, simply add an entry to the MODEL_REGISTRY array in src/models.ts. No other changes needed — the tools dynamically adapt to the registry.

License

MIT