Testing Edge AI from an MCP tool: I pointed mk-qa-master at my webcam and YOLO answered (opens in new tab)

By Jack Kao — author of mk-qa-master, an MCP-native QA toolkit. Most "AI testing" stops at calling an API and asserting the response isn't empty. Edge AI — a model running on a live camera feed — doesn't fit that mold. You can't assert exact bounding-box coordinates (the output is fuzzy by design), and "correct but 200ms too late" is a production failure, not a pass. When I added the edge runner to mk-qa-master in v1.1, I wanted it to make that hard problem feel like writing any other test. S...