Yuxin Liu developed foundational documentation for the Dingo MCP Server within the punkpeye/awesome-mcp-servers repository, focusing on clarifying its data quality evaluation capabilities. By integrating AI concepts and detailing both rule-based and LLM-based evaluation features, Yuxin provided clear technical guidance for future contributors. The work, written in Markdown, centralized essential context to streamline onboarding and improve discoverability for developers. No major bugs were reported, and minor documentation refinements ensured accuracy and consistency. This contribution established a baseline for future feature documentation and integration, supporting more efficient collaboration and expansion of the server’s AI integration and data evaluation workflows.