Image Processing MCP Server

Instructions

Implementation Reference

• main.py:793-806 (handler)

  MCP tool handler and registration for 'get_performance_stats'. Calls the utility function from utils.performance and formats the result as a JSON string.

  @mcp.tool()
  def get_performance_stats() -> str:
      """获取性能统计信息"""
      try:
          stats = utils_get_performance_stats()
          return json.dumps({
              "success": True,
              "data": stats
          }, ensure_ascii=False, indent=2)
      except Exception as e:
          return json.dumps({
              "success": False,
              "error": f"获取性能统计失败: {str(e)}"
          }, ensure_ascii=False, indent=2)

• utils/performance.py:351-358 (helper)

  Core helper function that aggregates performance statistics from global monitor, cache, and resource manager instances.

  def get_performance_stats() -> Dict[str, Any]:
      """获取完整的性能统计"""
      return {
          "monitor": performance_monitor.get_stats(),
          "cache": image_cache.get_stats(),
          "resources": resource_manager.get_stats(),
          "timestamp": time.time()
      }

• main.py:85-85 (registration)

  Import of the performance stats utility function used by the MCP tool handler.

  from utils.performance import get_performance_stats as utils_get_performance_stats, reset_performance_stats as utils_reset_performance_stats