add_shadow
Adds customizable shadow effects to images by adjusting color, offset, blur, and opacity to create depth and visual separation.
Instructions
为图片添加阴影效果
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 | |
| shadow_color | No | 阴影颜色，十六进制格式如 #808080（灰色） | #808080 |
| shadow_offset_x | No | 阴影水平偏移（像素），正值向右，负值向左 | |
| shadow_offset_y | No | 阴影垂直偏移（像素），正值向下，负值向上 | |
| shadow_blur | No | 阴影模糊半径（像素） | |
| shadow_opacity | No | 阴影不透明度，范围 0.0-1.0 | |
| output_format | No | 输出格式：PNG、JPEG、WEBP 等 | PNG |
Output Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| result | Yes |
Implementation Reference
- tools/effects.py:517-632 (handler)Core handler function implementing the add_shadow tool logic: validates parameters, loads image, creates shadow layer from alpha channel, applies blur and offset, composites with original image, outputs base64 result.
async def add_shadow(arguments: Dict[str, Any]) -> List[TextContent]: """ 为图片添加阴影效果 Args: arguments: 包含图片源和阴影参数的字典 Returns: List[TextContent]: 处理结果 """ try: # 参数验证 image_source = arguments.get("image_source") ensure_valid_image_source(image_source) shadow_color = arguments.get("shadow_color", "#808080") shadow_offset_x = arguments.get("shadow_offset_x", 5) shadow_offset_y = arguments.get("shadow_offset_y", 5) shadow_blur = arguments.get("shadow_blur", 5) shadow_opacity = arguments.get("shadow_opacity", 0.5) output_format = arguments.get("output_format", DEFAULT_IMAGE_FORMAT) # 验证参数 validate_color_hex(shadow_color) validate_numeric_range(shadow_offset_x, -50, 50, "shadow_offset_x") validate_numeric_range(shadow_offset_y, -50, 50, "shadow_offset_y") validate_numeric_range(shadow_blur, 0, 20, "shadow_blur") validate_numeric_range(shadow_opacity, 0.0, 1.0, "shadow_opacity") # 加载图片 processor = ImageProcessor() image = processor.load_image(image_source) # 转换为RGBA模式 if image.mode != "RGBA": image = image.convert("RGBA") # 计算新图片尺寸（考虑阴影偏移和模糊） margin = shadow_blur + max(abs(shadow_offset_x), abs(shadow_offset_y)) new_width = image.width + 2 * margin new_height = image.height + 2 * margin # 创建带阴影的新图片 result_image = Image.new("RGBA", (new_width, new_height), (0, 0, 0, 0)) # 创建阴影 shadow_rgb = tuple(int(shadow_color[i:i+2], 16) for i in (1, 3, 5)) shadow_alpha = int(255 * shadow_opacity) # 创建阴影图层 shadow_layer = Image.new("RGBA", image.size, (0, 0, 0, 0)) shadow_pixels = shadow_layer.load() image_pixels = image.load() # 根据原图的alpha通道创建阴影 for y in range(image.height): for x in range(image.width): r, g, b, a = image_pixels[x, y] if a > 0: shadow_pixels[x, y] = shadow_rgb + (min(a, shadow_alpha),) # 应用模糊 if shadow_blur > 0: shadow_layer = shadow_layer.filter(ImageFilter.GaussianBlur(radius=shadow_blur)) # 计算阴影位置 shadow_x = margin + shadow_offset_x shadow_y = margin + shadow_offset_y # 粘贴阴影 result_image.paste(shadow_layer, (shadow_x, shadow_y), shadow_layer) # 粘贴原图片 image_x = margin image_y = margin result_image.paste(image, (image_x, image_y), image) # 转换为base64 output_info = processor.output_image(result_image, "border", output_format) return [TextContent( type="text", text=json.dumps({ "success": True, "message": "成功添加阴影效果", "data": { **output_info, "metadata": { "original_size": f"{image.width}x{image.height}", "new_size": f"{result_image.width}x{result_image.height}", "shadow_color": shadow_color, "shadow_offset": f"({shadow_offset_x}, {shadow_offset_y})", "shadow_blur": shadow_blur, "shadow_opacity": shadow_opacity, "format": output_format } } }, ensure_ascii=False) )] except ValidationError as e: return [TextContent( type="text", text=json.dumps({ "success": False, "error": f"参数验证失败: {str(e)}" }, ensure_ascii=False) )] except Exception as e: return [TextContent( type="text", text=json.dumps({ "success": False, "error": f"添加阴影失败: {str(e)}" }, ensure_ascii=False) )] - main.py:542-569 (registration)MCP tool registration for 'add_shadow': defines input schema via Annotated parameters and wraps the call to the effects handler.
@mcp.tool() def add_shadow( 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")], shadow_color: Annotated[str, Field(description="阴影颜色，十六进制格式如 #808080（灰色）", default="#808080")], shadow_offset_x: Annotated[int, Field(description="阴影水平偏移（像素），正值向右，负值向左", default=5)], shadow_offset_y: Annotated[int, Field(description="阴影垂直偏移（像素），正值向下，负值向上", default=5)], shadow_blur: Annotated[int, Field(description="阴影模糊半径（像素）", ge=0, default=5)], shadow_opacity: Annotated[float, Field(description="阴影不透明度，范围 0.0-1.0", ge=0.0, le=1.0, default=0.5)], output_format: Annotated[str, Field(description="输出格式：PNG、JPEG、WEBP 等", default="PNG")] ) -> str: """为图片添加阴影效果""" try: arguments = { "image_source": image_source, "shadow_color": shadow_color, "shadow_offset_x": shadow_offset_x, "shadow_offset_y": shadow_offset_y, "shadow_blur": shadow_blur, "shadow_opacity": shadow_opacity, "output_format": output_format } result = safe_run_async(effects_add_shadow(arguments)) return result[0].text except Exception as e: return json.dumps({ "success": False, "error": f"添加阴影失败: {str(e)}" }, ensure_ascii=False, indent=2) - tools/effects.py:114-166 (schema)JSON schema definition for the add_shadow tool input parameters in get_effect_tools().
Tool( name="add_shadow", description="为图片添加阴影效果", inputSchema={ "type": "object", "properties": { "image_source": { "type": "string", "description": "图片源（文件路径或base64编码）" }, "shadow_color": { "type": "string", "description": "阴影颜色（十六进制格式）", "default": "#808080" }, "shadow_offset_x": { "type": "integer", "description": "阴影X轴偏移（像素）", "minimum": -50, "maximum": 50, "default": 5 }, "shadow_offset_y": { "type": "integer", "description": "阴影Y轴偏移（像素）", "minimum": -50, "maximum": 50, "default": 5 }, "shadow_blur": { "type": "integer", "description": "阴影模糊半径", "minimum": 0, "maximum": 20, "default": 5 }, "shadow_opacity": { "type": "number", "description": "阴影透明度（0.0-1.0）", "minimum": 0.0, "maximum": 1.0, "default": 0.5 }, "output_format": { "type": "string", "description": "输出格式", "enum": ["PNG", "JPEG", "WEBP"], "default": "PNG" } }, "required": ["image_source"] } ),