The server is designed around the Model Context Protocol, enabling integration with LLMs for accessing chemical compound information. The architecture includes a command-line interface and an MCP server component. The server likely follows a request-response pattern, processing queries and returning data in specified formats. The use of Python allows for cross-platform compatibility and ease of deployment.