adjust_saturation
Adjust image saturation levels to enhance or reduce color intensity. Modify saturation factor to create vibrant visuals or grayscale effects for image processing workflows.
Instructions
调整图片饱和度
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| image_source | Yes | 图片源，可以是文件路径或base64编码的图片数据 | |
| factor | Yes | 饱和度调整因子，1.0为原始饱和度，>1.0增强，<1.0减弱，0为灰度 |
Output Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| result | Yes |
Implementation Reference
- tools/color_adjust.py:345-398 (handler)Core handler function that validates input, loads the image using ImageProcessor, applies saturation adjustment with PIL's ImageEnhance.Color.enhance(factor), generates output image data, and returns JSON result.
async def adjust_saturation(image_source: str, factor: float) -> list[TextContent]: """ 调整图片饱和度 Args: image_source: 图片数据（base64编码）或文件路径 factor: 饱和度调整因子（0.0-2.0） Returns: 调整后的图片数据 """ try: # 验证参数 if not image_source: raise ValidationError("图片数据不能为空") if not validate_numeric_range(factor, 0.0, 2.0): raise ValidationError(f"饱和度因子必须在0.0-2.0范围内: {factor}") # 加载图片 image = processor.load_image(image_source) # 调整饱和度 enhancer = ImageEnhance.Color(image) enhanced_image = enhancer.enhance(factor) # 输出处理后的图片 output_info = processor.output_image(enhanced_image, "saturation") result = { "success": True, "message": f"饱和度调整成功: 因子 {factor}", "data": { **output_info, "saturation_factor": factor, "size": image.size } } return [TextContent(type="text", text=json.dumps(result, ensure_ascii=False))] except ValidationError as e: error_result = { "success": False, "error": f"参数验证失败: {str(e)}" } return [TextContent(type="text", text=json.dumps(error_result, ensure_ascii=False))] except Exception as e: error_result = { "success": False, "error": f"饱和度调整失败: {str(e)}" } return [TextContent(type="text", text=json.dumps(error_result, ensure_ascii=False))] - main.py:414-428 (registration)MCP server tool registration using FastMCP's @mcp.tool() decorator. This synchronous wrapper calls the async handler from tools.color_adjust via safe_run_async and handles errors.
@mcp.tool() def adjust_saturation( image_source: Annotated[str, Field(description="图片源，可以是文件路径或base64编码的图片数据")], factor: Annotated[float, Field(description="饱和度调整因子，1.0为原始饱和度，>1.0增强，<1.0减弱，0为灰度", ge=0)] ) -> str: """调整图片饱和度""" try: result = safe_run_async(color_adjust_saturation(image_source, factor)) return result[0].text except Exception as e: return json.dumps({ "success": False, "error": f"调整饱和度失败: {str(e)}" }, ensure_ascii=False, indent=2) - tools/color_adjust.py:65-84 (schema)Input schema definition for the adjust_saturation tool in the get_color_adjust_tools() function (possibly legacy or internal). Defines JSON schema with image_source (string) and factor (number 0.0-2.0).
Tool( name="adjust_saturation", description="调整图片饱和度", inputSchema={ "type": "object", "properties": { "image_source": { "type": "string", "description": "图片数据（base64编码）或文件路径" }, "factor": { "type": "number", "description": "饱和度调整因子（0.0-2.0，1.0为原始饱和度，0.0为灰度）", "minimum": 0.0, "maximum": 2.0 } }, "required": ["image_source", "factor"] } ),