Driven by the strategic goals of "dual carbon" and "rural revitalization", and in response to issue such as low rural energy efficiency and a low proportion of clean energy in rural areas, the green transition of rural energy has become an urgent priority. As an effective approach to improve energy utilization efficiency and reduce carbon emissions, the rural integrated energy system has emerged as a current research focus. However, researches on the benefit evaluation of this system remains insufficient. To address this gap, a rural integrated energy evaluation method is proposed based on a variable-weight extension cloud model with combined weighting. Firstly, an evaluation index system covering four dimensions is constructed: rural economy, technology, ecology, and society. Secondly, the improved analytic hierarchy process (AHP) is adopted for subjective weighting to reduce computational complexity, while the anti-entropy method is used for objective weighting. Subsequently, the optimal combined weights are obtained by minimizing the deviation between subjective and objective weights. Finally, the improved extension cloud model is applied to evaluate the index data of the rural integrated energy system, and the adaptive variable weighting of index data is implemented to better highlight the system's shortcomings and advantageous indicators. Taking the data of the demonstration project in Gula Town, Guangxi as an example, the evaluation is conducted. The results show that the method proposed is effective and scientific.