apply_sharpen
Enhance image clarity and detail by applying a sharpening filter to improve edge definition and visual crispness.
Instructions
应用锐化滤镜
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 |
Output Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| result | Yes |
Implementation Reference
- tools/filters.py:289-337 (handler)The core asynchronous handler function that loads the image, applies the SHARPEN filter using PIL, processes the output, and returns JSON-formatted results.
async def apply_sharpen(image_data: str) -> list[TextContent]: """ 应用锐化滤镜 Args: image_data: 图片数据（base64编码） Returns: 应用滤镜后的图片数据 """ try: # 验证参数 if not image_data: raise ValidationError("图片数据不能为空") # 加载图片 image = processor.load_image(image_data) # 应用锐化滤镜 sharpened_image = image.filter(ImageFilter.SHARPEN) # 输出处理后的图片 output_info = processor.output_image(sharpened_image, "sharpen") result = { "success": True, "message": "锐化滤镜应用成功", "data": { **output_info, "filter_type": "sharpen", "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"锐化滤镜应用失败: {str(e)}" } return [TextContent(type="text", text=json.dumps(error_result, ensure_ascii=False))] - tools/filters.py:65-77 (schema)Tool schema definition including input schema for the apply_sharpen tool, part of get_filter_tools() function.
Tool( name="apply_sharpen", description="应用锐化滤镜", inputSchema={ "type": "object", "properties": { "image_data": { "type": "string", "description": "图片数据（base64编码）" } }, "required": ["image_data"] } - main.py:270-282 (registration)MCP server tool registration using @mcp.tool() decorator, which wraps and calls the handler from filters.py via safe_run_async.
@mcp.tool() def apply_sharpen( 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")] ) -> str: """应用锐化滤镜""" try: result = safe_run_async(filters_apply_sharpen(image_source)) return result[0].text except Exception as e: return json.dumps({ "success": False, "error": f"应用锐化效果失败: {str(e)}" }, ensure_ascii=False, indent=2)