adjust_contrast
Modify image contrast by adjusting the factor value to enhance or reduce visual clarity and detail visibility in images.
Instructions
调整图片对比度
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 | |
| factor | Yes | 对比度调整因子，1.0为原始对比度，>1.0增强，<1.0减弱 |
Output Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| result | Yes |
Implementation Reference
- tools/color_adjust.py:290-343 (handler)Core handler function that loads the image, applies contrast enhancement using PIL ImageEnhance.Contrast, generates output image data, and returns JSON result.
async def adjust_contrast(image_source: str, factor: float) -> list[TextContent]: """ 调整图片对比度 Args: image_source: 图片数据（base64编码）或文件路径 factor: 对比度调整因子（0.0-2.0） Returns: 调整后的图片数据 """ try: # 验证参数 if not image_source: raise ValidationError("图片数据或路径不能为空") if not validate_numeric_range(factor, 0.0, 2.0): raise ValidationError(f"对比度因子必须在0.0-2.0范围内: {factor}") # 加载图片 image = processor.load_image(image_source) # 调整对比度 enhancer = ImageEnhance.Contrast(image) enhanced_image = enhancer.enhance(factor) # 输出处理后的图片 output_info = processor.output_image(enhanced_image, "contrast") result = { "success": True, "message": f"对比度调整成功: 因子 {factor}", "data": { **output_info, "contrast_factor": factor, "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"对比度调整失败: {str(e)}" } return [TextContent(type="text", text=json.dumps(error_result, ensure_ascii=False))] - main.py:399-412 (registration)MCP tool registration decorator @mcp.tool() that wraps the handler, provides input schema via Annotated Fields, and handles execution with safe_run_async.
@mcp.tool() def adjust_contrast( 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")], factor: Annotated[float, Field(description="对比度调整因子，1.0为原始对比度，>1.0增强，<1.0减弱", gt=0)] ) -> str: """调整图片对比度""" try: result = safe_run_async(color_adjust_contrast(image_source, factor)) return result[0].text except Exception as e: return json.dumps({ "success": False, "error": f"调整对比度失败: {str(e)}" }, ensure_ascii=False, indent=2) - tools/color_adjust.py:45-64 (schema)Explicit JSON schema definition for the adjust_contrast tool input, including properties, descriptions, and validation constraints (min/max for factor). Used in get_color_adjust_tools().
Tool( name="adjust_contrast", description="调整图片对比度", inputSchema={ "type": "object", "properties": { "image_source": { "type": "string", "description": "图片数据（base64编码）或文件路径" }, "factor": { "type": "number", "description": "对比度调整因子（0.0-2.0，1.0为原始对比度）", "minimum": 0.0, "maximum": 2.0 } }, "required": ["image_source", "factor"] } ),