kie-ai-mcp-server
v2.0.1
Published
MCP server for Kie AI image generation and editing — supports all models (Nano Banana Pro, Seedream 4.5, Flux 2, Imagen 4, Ideogram V3, and more)
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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.
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/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 |
| 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 buildThen 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:
- Create task:
POST /jobs/createTaskwith{ model, input } - Poll status:
GET /jobs/recordInfo?taskId=... - Get result: When
state === "success", the result URLs are inresultJson
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
