Codename One Adds On-Device AI and MCP Debugging Tool Across Mobile and Desktop

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Open-source cross-platform framework Codename One has merged on-device AI capabilities and Model Context Protocol (MCP) support via a loopback socket in its latest release. The AI surface is organized into three packages covering vision tasks like OCR and face detection, language operations such as translation and identification, and reusable inference sessions for custom TensorFlow Lite models. Android leverages ML Kit while Apple platforms use Vision, Core Image, and Natural Language frameworks, with CPU fallback available where hardware acceleration is absent. All processing runs locally on the device, meaning no images, text, or tensors are sent to Codename One's servers, offering a narrower data exposure path for sensitive content. The MCP channel, designed primarily as a debugging tool, listens only on a loopback socket, limiting its exposure as a potential external control interface.

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