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Kie Ai Server

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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.

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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:

  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

from github.com/daanjonk/kie-ai-mcp-v1

Install Kie Ai Server in Claude Desktop, Claude Code & Cursor

Recommended · one command, every IDE
unyly install kie-ai-mcp-server

Installs into Claude Desktop, Claude Code, Cursor & VS Code — handles npx, uvx and build-from-source repos for you.

First time? Get the CLI: curl -fsSL https://unyly.org/install | sh

Or configure manually

Run in your terminal:

claude mcp add kie-ai-mcp-server -- npx -y kie-ai-mcp-server

FAQ

Is Kie Ai Server MCP free?

Yes, Kie Ai Server MCP is free — one-click install via Unyly at no cost.

Does Kie Ai Server need an API key?

No, Kie Ai Server runs without API keys or environment variables.

Is Kie Ai Server hosted or self-hosted?

A hosted option is available: Unyly runs the server in the cloud, no local setup required.

How do I install Kie Ai Server in Claude Desktop, Claude Code or Cursor?

Open Kie Ai Server on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.

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