apply_edge_enhance
Enhance image edges to improve clarity and definition by applying an edge enhancement filter to sharpen visual details.
Instructions
应用边缘增强滤镜
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:339-387 (handler)Core handler function that loads the image, applies PIL's ImageFilter.EDGE_ENHANCE filter, processes output via ImageProcessor, and returns JSON result.
async def apply_edge_enhance(image_data: str) -> list[TextContent]: """ 应用边缘增强滤镜 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) # 应用边缘增强滤镜 enhanced_image = image.filter(ImageFilter.EDGE_ENHANCE) # 输出处理后的图片 output_info = processor.output_image(enhanced_image, "edge_enhance") result = { "success": True, "message": "边缘增强滤镜应用成功", "data": { **output_info, "filter_type": "edge_enhance", "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"边缘增强滤镜应用失败: {str(e)}" } return [TextContent(type="text", text=json.dumps(error_result, ensure_ascii=False))] - main.py:284-297 (registration)Registers the MCP tool 'apply_edge_enhance' with input schema defined via Annotated[str], wraps the call to filters.py implementation using safe_run_async.
@mcp.tool() def apply_edge_enhance( 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: """应用边缘增强滤镜""" try: result = safe_run_async(filters_apply_edge_enhance(image_source)) return result[0].text except Exception as e: return json.dumps({ "success": False, "error": f"应用边缘增强失败: {str(e)}" }, ensure_ascii=False, indent=2) - tools/filters.py:79-92 (schema)Explicit JSON schema definition for the tool input, requiring 'image_data' as base64 string, part of get_filter_tools().
Tool( name="apply_edge_enhance", description="应用边缘增强滤镜", inputSchema={ "type": "object", "properties": { "image_data": { "type": "string", "description": "图片数据（base64编码）" } }, "required": ["image_data"] } ),