The server acts as a proxy between DeepSeek's API and MCP-compatible clients. It's designed to handle communication via the MCP, managing model configurations and context. The architecture includes features for automatic model fallback if the primary model is unavailable, enhancing reliability. It supports multi-turn conversations maintaining context.