
Developed a Java client for the Model Context Protocol (MCP) AI service within the XiaoMi/mone repository, focusing on enabling programmatic interactions through command execution and URL-based requests. The implementation supports tool discovery, invocation with arguments, and resource management, establishing integration points for automation and future extensibility. Leveraging Java for API client development and inter-process communication, the work included a comprehensive test class that demonstrates end-to-end usage with a Dockerized MCP client, validating integration scenarios. No bug fixes were reported during this period, with efforts concentrated on delivering robust feature functionality and foundational testing to support downstream automation and tooling.
January 2025 — XiaoMi/mone: Delivered a Java Client for the Model Context Protocol (MCP) AI Service, enabling programmatic interactions via command execution or URLs, including tool discovery, invocation with arguments, and resource management. Added an accompanying test class that demonstrates basic usage with a Dockerized MCP client, validating end-to-end flow. This work establishes automation-ready integration points and a solid foundation for future capabilities, with no notable bug fixes reported this month.
January 2025 — XiaoMi/mone: Delivered a Java Client for the Model Context Protocol (MCP) AI Service, enabling programmatic interactions via command execution or URLs, including tool discovery, invocation with arguments, and resource management. Added an accompanying test class that demonstrates basic usage with a Dockerized MCP client, validating end-to-end flow. This work establishes automation-ready integration points and a solid foundation for future capabilities, with no notable bug fixes reported this month.

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