During August 2025, contributed backend development work to the redis/mcp-redis repository by implementing dynamic tool discovery and loading during server initialization. This approach ensured that all available tools were reliably detected and ready for use at runtime, improving startup reliability and maintainability. Addressed Redis integration by enhancing the robustness of set and get operations, refining decoding behavior, and introducing precise type hints for Redis connections and string utilities. Leveraging Python, Redis, and type hinting, these changes reduced runtime errors and established a more stable foundation for future tooling, supporting consistent tool availability and easier extension of the server’s capabilities.