
During a two-month period, Deng Shu developed and integrated a Text-to-SQL server component within the XiaoMi/mone repository, enabling users to convert natural language queries into SQL statements for more intuitive database interaction. Leveraging Java, Spring Boot, and microservices architecture, Deng implemented schema retrieval and local SQLite-based testing to ensure robust validation and maintainable code. The work included refactoring for readability, reducing redundant logging, and updating documentation to support the new features. By configuring SSE transport and streaming-enabled tool registration, Deng’s contributions laid a solid foundation for natural language analytics and streamlined the process of querying databases programmatically.

March 2025 monthly summary for XiaoMi/mone: Delivered the Text2SQL MCP Server enabling natural-language to SQL conversion with SSE transport and streaming-enabled tool registration. This work reduces SQL-writing effort for end users and enables more natural database interactions. No major bugs reported this month; the feature provides a solid foundation for NLQ-driven analytics and faster iteration.
March 2025 monthly summary for XiaoMi/mone: Delivered the Text2SQL MCP Server enabling natural-language to SQL conversion with SSE transport and streaming-enabled tool registration. This work reduces SQL-writing effort for end users and enables more natural database interactions. No major bugs reported this month; the feature provides a solid foundation for NLQ-driven analytics and faster iteration.
February 2025 monthly summary for XiaoMi/mone: Delivered foundational Text-to-SQL capability within the MCP framework, strengthened testing, and improved code quality.
February 2025 monthly summary for XiaoMi/mone: Delivered foundational Text-to-SQL capability within the MCP framework, strengthened testing, and improved code quality.
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