The open-source Lemonade AI server for "100% free and private" AI usage across Windows and Linux in leveraging AMD Ryzen AI NPUs, Radeon GPUs, and x86_64 CPUs, is now much more powerful with today's v10.8 release.

The AMD-backed Lemonade local AI server continues rapidly advancing and with today's v10.8 release it adds Model Context Protocol (MCP) server integration. With Lemonade's MCP server support, any MCP-compatible client can interact with the Lemonade server in treating your locally-running models as tools. GitHub Copilot, Claude Desktop, Cursor, and other MCP-supportive clients can now interact with Lemonade via MCP with capabilities like chat, audio transcription, image generation, and one-shot multi-modal handling with Lemonade Omni.

All the new MCP server capabilities are outlined via the [1]new documentation in Lemonade 10.8.

"Why it matters. Agents running in a frontier model can now route the privacy-sensitive or high-volume parts of a task to local Lemonade models without leaving the conversation. Bulk classification, on-device transcription and image generation become free, private and offline, orchestrated by whatever host model the user prefers."

More details in [2]this pull request adding the MCP server support.

Lemonade 10.8 also now enables ROCm for the GFX1152 / Radeon 860M graphics, adds support for live model management, Moonshine speech-to-text, and even experimental NVIDIA GB10 ARM64 support using the Llama.cpp CUDA back-end.

Downloads and more details on Lemonade 10.8 via [3]GitHub .



[1] https://github.com/lemonade-sdk/lemonade/blob/main/docs/api/mcp.md

[2] https://github.com/lemonade-sdk/lemonade/pull/2131

[3] https://github.com/lemonade-sdk/lemonade/releases/tag/v10.8.0