Local-first edge-AI computer vision workbench MCP server
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# Fovux MCP **From dataset to deployed ONNX, in one conversation.** [](https://github.com/oaslananka/fovux-kit/actions/workflows/ci.yml) [](https://github.com/oaslananka/fovux-kit) [](https://www.python.org/downloads/) [](LICENSE) [](https://github.com/oaslananka/fovux-kit) Fovux is a professional-grade, open-source edge-AI computer vision workbench. It lets a computer vision practitioner run the full YOLO lifecycle through natural-language conversation with any MCP-compatible AI client: dataset curation, training, evaluation, error analysis, quantization, export, on-device benchmarking, and RTSP inference. > **Brand:** Fovux is the region of the retina responsible for sharp central vision. We help you see your models clearly. ## Why Fovux? | | Fovux | Ultralytics Platform | GongRzhe/YOLO-MCP | | ----------------------------- | ----- | -------------------- | ----------------- | | Local-first, no account | ✅ | ❌ | ✅ | | Full lifecycle (train→deploy) | ✅ | ✅ | ❌ | | Error analysis | ✅ | Partial | ❌ | | INT8 quantization report | ✅ | ❌ | ❌ | | VS Code companion | ✅ | ❌ | ❌ | | RTSP live inference | ✅ | ❌ | ❌ | | Open source | ✅ | ❌ | ✅ | ## Status Packaged releases are produced by GitHub Actions in `oaslananka/fovux-kit`. Inst…
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