apply_find_edges
Detect edges in images to highlight boundaries and contours for analysis or enhancement using edge detection filters.
Instructions
应用边缘检测滤镜
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:439-487 (handler)Core handler function that validates input, loads image using ImageProcessor, applies PIL's ImageFilter.FIND_EDGES, generates output image data, and returns JSON response.
async def apply_find_edges(image_data: str) -> list[TextContent]: """ 应用边缘检测滤镜 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) # 应用边缘检测滤镜 edges_image = image.filter(ImageFilter.FIND_EDGES) # 输出处理后的图片 output_info = processor.output_image(edges_image, "find_edges") result = { "success": True, "message": "边缘检测滤镜应用成功", "data": { **output_info, "filter_type": "find_edges", "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"边缘检测滤镜应用失败: {str(e)}" } return [TextContent(type="text", text=json.dumps(error_result, ensure_ascii=False))] - main.py:312-325 (registration)MCP tool registration using FastMCP's @mcp.tool() decorator. Provides input schema via Pydantic Annotated Field and delegates execution to the core handler in filters.py.
@mcp.tool() def apply_find_edges( 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: """应用边缘检测滤镜""" try: result = safe_run_async(filters_apply_find_edges(image_source)) return result[0].text except Exception as e: return json.dumps({ "success": False, "error": f"应用边缘检测失败: {str(e)}" }, ensure_ascii=False, indent=2) - tools/filters.py:107-120 (schema)Explicit JSON schema definition for the tool input in get_filter_tools() function, though not directly used in main MCP registration.
Tool( name="apply_find_edges", description="应用边缘检测滤镜", inputSchema={ "type": "object", "properties": { "image_data": { "type": "string", "description": "图片数据（base64编码）" } }, "required": ["image_data"] } ),