Abstract: With the acceleration of agricultural modernization and electrification, rural communities are becoming increasingly diverse, and the demand for electricity continues to rise. Against this backdrop, this study conducts an in-depth analysis of the multi-entity composition pattern in rural communities. In addition, a new method is proposed for assessing distribution network hosting capacity and coordinately enhancing it, incorporating multi-entity participation in rural communities. This approach provides theoretical support for the scientific integration of new loads and precise retrofitting of distribution networks. Firstly, a rural community model encompassing seven major agents, namely intensive agriculture, conventional agriculture, agricultural market, transportation system, farmer household group, urban system, and power system, is constructed, and their energy consumption characteristics are thoroughly analyzed. Secondly, a quantitative hosting capacity assessment model for distribution networks is established, and a coordinated optimization-based enhancement method is proposed, integrating transformer capacity expansion, line capacity expansion, network reconfiguration, and orderly charging/discharging control of electric trucks. Subsequently, the Benders decomposition algorithm is adopted to reduce model complexity, and commercial solvers are employed to efficiently solve the problem. Finally, based on an actual rural distribution network case, the impact of holiday-related return migration of migrant workers on the grid is quantified, hosting capacity bottlenecks are identified, and the superiority of the proposed coordinated optimization strategy is verified.