Worked on the punkpeye/awesome-mcp-servers repository to deliver foundational documentation for the Dingo MCP Server, focusing on its data quality evaluation capabilities. The approach centered on clearly outlining how the server interacts with both rule-based and LLM-based evaluation features, using Markdown to ensure accessible and well-structured information. Emphasis was placed on improving onboarding and discoverability for future contributors, establishing a baseline for integration guidance and feature expansion. The work leveraged skills in AI integration and documentation, with no major bugs reported during the period. Minor refinements were made to maintain accuracy and consistency throughout the documentation updates.