The latest feature: google_lens_detect uses OpenCV to find objects in an image, crops each one, and sends them to Google Lens for identification. GPT-OSS-120B, a text-only model with
zero vision support, correctly identified an NVIDIA DGX Spark and a SanDisk USB drive from a desk photo.
Also includes Google Search, News, Shopping, Scholar, Maps, Finance, Weather, Flights, Hotels, Translate, Images, Trends, and more. 17 tools total.
Two commands: pip install noapi-google-search-mcp && playwright install chromium
GitHub: https://github.com/VincentKaufmann/noapi-google-search-mcp
PyPI: https://pypi.org/project/noapi-google-search-mcp/
Booyah!
But wasn't it Google Lens that actually identified them?
If something was built by violating TOS' and you use that to do more TOS violations against the ones who initially did the TOS violations to build the thing, do they cancel out each other?
Not about GPT-OSS specifically, but say you used Gemma for the same purpose instead for this hypothetical.
https://news.ycombinator.com/item?id=46329109
> What exact llama model (+ quant I suppose) is it that you've had better results against
Not llama, but Qwen3-coder-next is on top of my list right now. Q8_K_XL. It's incredible (not just for coding).