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AI Watercolor Generator

Create watercolor art from text or transform existing images into watercolor paintings with AI.

Should I use this

Quality & Safety

A
Description quality
100%
Schema completeness
80%
Naming quality
93%
Poisoning risk
100%
Permission match
100%
Protocol compliance
100%

Based on automated analysis of tool definitions and protocol compliance.

Context Cost

~488Tokens (tool definitions)
~1.3 KBTypical response size
Minimal attention impact (0.38% of 128k context)

This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.

Install

One-Click Install

Add this to your `claude_desktop_config.json` file:

{
  "mcpServers": {
    "watercolor": {
      "command": "npx",
      "args": [
        "@ai-watercolor-generator/mcp"
      ]
    }
  }
}

Runnable packages

npm@ai-watercolor-generator/mcp0.1.0stdio

Remote endpoints

https://www.aiwatercolorgenerator.com/api/mcpstreamable-http

What it can do

Tool inventory

Tools (3)

🟢 Read-only🟡 Write🔴 Delete⚪ Unknown
🟡generate_watercolor(prompt, model, aspect_ratio, resolution, idempotency_key)

Submit an asynchronous watercolor image generation task.

Input Schema

{
  "type": "object",
  "properties": {
    "prompt": {
      "type": "string",
      "minLength": 1,
      "maxLength": 4000
    },
    "model": {
      "default": "watercolor-lite",
      "type": "string",
      "enum": [
        "watercolor-lite",
        "gpt-image-2",
        "nano-banana-pro",
        "nano-banana-2"
      ]
    },
    "aspect_ratio": {
      "default": "auto",
      "type": "string",
      "enum": [
        "auto",
        "1:1",
        "4:3",
        "3:4",
        "16:9",
        "9:16",
        "21:9",
        "9:21"
      ]
    },
    "resolution": {
      "default": "1k",
      "type": "string",
      "enum": [
        "1k",
        "2k",
        "4k"
      ]
    },
    "idempotency_key": {
      "type": "string",
      "minLength": 8,
      "maxLength": 255
    }
  },
  "required": [
    "prompt"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟡edit_watercolor(prompt, model, aspect_ratio, resolution, idempotency_key, ...)

Submit an asynchronous watercolor edit using trusted uploaded image URLs.

Input Schema

{
  "type": "object",
  "properties": {
    "prompt": {
      "type": "string",
      "minLength": 1,
      "maxLength": 4000
    },
    "model": {
      "default": "watercolor-lite",
      "type": "string",
      "enum": [
        "watercolor-lite",
        "gpt-image-2",
        "nano-banana-pro",
        "nano-banana-2"
      ]
    },
    "aspect_ratio": {
      "default": "auto",
      "type": "string",
      "enum": [
        "auto",
        "1:1",
        "4:3",
        "3:4",
        "16:9",
        "9:16",
        "21:9",
        "9:21"
      ]
    },
    "resolution": {
      "default": "1k",
      "type": "string",
      "enum": [
        "1k",
        "2k",
        "4k"
      ]
    },
    "idempotency_key": {
      "type": "string",
      "minLength": 8,
      "maxLength": 255
    },
    "input_images": {
      "minItems": 1,
      "maxItems": 9,
      "type": "array",
      "items": {
        "type": "string",
        "format": "uri"
      }
    }
  },
  "required": [
    "prompt",
    "input_images"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢get_watercolor_task(task_id)

Get the current status and output of a watercolor image task.

Input Schema

{
  "type": "object",
  "properties": {
    "task_id": {
      "type": "string",
      "minLength": 1
    }
  },
  "required": [
    "task_id"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#"
}

Community

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Evidence

Recent observations

verifiedversion not recorded3 tools
verifiedversion not recorded3 tools