Kie Ai Server
БесплатноНе проверенUniversal MCP server for all Kie AI image generation and editing models, enabling text-to-image, image-to-image, and image editing via natural language.
Описание
Universal MCP server for all Kie AI image generation and editing models, enabling text-to-image, image-to-image, and image editing via natural language.
README
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 GPT Image 2 text-to-image. High-quality generation from text prompts with broad aspect-ratio support. - GPT Image 2 Image-to-Image (
gpt-image-2-image-to-image) — Transform or extend one or more reference images with a natural-language prompt.
Previously 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 | OpenAI GPT Image 2. Broad aspect-ratio support |
gpt-image-2-image-to-image |
GPT Image 2 I2I | Transform/extend up to 8 reference images |
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/daanjonk/kie-ai-mcp-v1.git
cd kie-ai-mcp-v1
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:
- 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
Установить Kie Ai Server в Claude Desktop, Claude Code, Cursor
unyly install kie-ai-mcp-serverСтавит в Claude Desktop, Claude Code, Cursor и VS Code — сам разбирается с npx, uvx и сборкой из исходников.
Впервые? Поставь CLI: curl -fsSL https://unyly.org/install | sh
Или настроить вручную
Выполни в терминале:
claude mcp add kie-ai-mcp-server -- npx -y kie-ai-mcp-serverFAQ
Kie Ai Server MCP бесплатный?
Да, Kie Ai Server MCP бесплатный — установка в пару кликов через Unyly без оплаты.
Нужен ли API-ключ для Kie Ai Server?
Нет, Kie Ai Server работает без API-ключей и переменных окружения.
Kie Ai Server — hosted или self-hosted?
Доступен hosted-вариант: Unyly запускает сервер в облаке, локальная установка не обязательна.
Как установить Kie Ai Server в Claude Desktop, Claude Code или Cursor?
Открой Kie Ai Server на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.
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