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adjust_opacity

Change image transparency by adjusting opacity levels from fully transparent to fully opaque to modify image appearance for overlays, watermarks, or visual effects.

Instructions

调整图片不透明度

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
image_sourceYes图片源,可以是文件路径或base64编码的图片数据
opacityYes不透明度,范围 0.0-1.0,0.0为完全透明,1.0为完全不透明

Implementation Reference

  • Core handler function that loads the image, adjusts the alpha channel opacity using PIL, processes output with ImageProcessor, and returns JSON result.
    async def adjust_opacity(image_source: str, opacity: float) -> list[TextContent]: """ 调整图片不透明度 Args: image_source: 图片数据(base64编码)或文件路径 opacity: 不透明度值(0.0-1.0) 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(opacity, 0.0, 1.0): raise ValidationError(f"不透明度值必须在0.0-1.0范围内: {opacity}") # 加载图片 image = processor.load_image(image_source) original_mode = image.mode # 确保图片有alpha通道 if image.mode != 'RGBA': image = image.convert('RGBA') # 获取图片数据 data = image.getdata() # 调整alpha通道 new_data = [] for item in data: # item是(R, G, B, A)元组 r, g, b, a = item # 计算新的alpha值 new_alpha = int(a * opacity) new_data.append((r, g, b, new_alpha)) # 创建新图片 opacity_image = Image.new('RGBA', image.size) opacity_image.putdata(new_data) # 输出处理后的图片 output_info = processor.output_image(opacity_image, "opacity") result = { "success": True, "message": f"不透明度调整成功: {opacity}", "data": { **output_info, "opacity_value": opacity, "original_mode": original_mode, "new_mode": opacity_image.mode, "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"不透明度调整失败: {str(e)}" } return [TextContent(type="text", text=json.dumps(error_result, ensure_ascii=False))]
  • main.py:473-487 (registration)
    MCP tool registration using @mcp.tool() decorator. Defines input schema via Annotated Fields, wraps and calls the core handler from color_adjust.py.
    @mcp.tool() def adjust_opacity( 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")], opacity: Annotated[float, Field(description="不透明度,范围 0.0-1.0,0.0为完全透明,1.0为完全不透明", ge=0.0, le=1.0)] ) -> str: """调整图片不透明度""" try: result = safe_run_async(color_adjust_opacity(image_source, opacity)) return result[0].text except Exception as e: return json.dumps({ "success": False, "error": f"调整不透明度失败: {str(e)}" }, ensure_ascii=False, indent=2)
  • Tool schema definition used in get_color_adjust_tools(), matching the input parameters for adjust_opacity.
    Tool( name="adjust_opacity", description="调整图片不透明度", inputSchema={ "type": "object", "properties": { "image_source": { "type": "string", "description": "图片数据(base64编码)或文件路径" }, "opacity": { "type": "number", "description": "不透明度值(0.0-1.0,0.0为完全透明,1.0为完全不透明)", "minimum": 0.0, "maximum": 1.0 } }, "required": ["image_source", "opacity"] } )

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