Yocoolab

Yocoolab is a Chrome extension for pinning comments on a live web app and sending the element, screenshot and context to Claude Code, Cursor, Windsurf, Copilot or any MCP agent, which then opens the pull request.

Yocoolab is a Chrome extension that turns visual feedback on a running web product into work an AI coding agent can act on. Instead of redlining a static mockup or writing a handoff document, a reviewer opens the live page, clicks the element that needs attention, and leaves a pinned comment right on it. The same pin can then be sent to an agent along with the element itself, a screenshot and the surrounding context, so the agent starts from what the reviewer actually saw rather than a vague description. The tool is aimed at product teams that already build with agent-assisted workflows: developers, designers, product managers and QA reviewers who want feedback to land in the code with less translation in between. Yocoolab lists Claude Code, Cursor, Windsurf and GitHub Copilot as compatible agents, and it also works with any agent that supports MCP, which leaves room for custom setups. The flow described on the homepage is simple: click an element, send it to the agent, then review the pull request the agent opens. Collaboration is built around the same pin. Teammates can join a thread live, so comments, discussion and sign-off happen in one place instead of being split between a design file, a chat channel and a ticket. The homepage stresses that there is no fake canvas to maintain and no separate viewer seat fees, and that the whole team can take part at no charge during the beta, with no credit card needed. Among alternatives, Yocoolab sits between website feedback and annotation tools, which collect comments but stop at a screenshot, and agent-first coding environments, which have no structured way to take in reviewer input from a running site. Its distinguishing idea is the direct path from a pinned element to a pull request. Because it is delivered through the Chrome Web Store, it suits teams that review in Chrome, and it is best judged on how well agents handle the context it passes along in real projects.