From page pin to coding agent.
A pin tells your team what needs attention. MCP gives a coding agent the context behind it: the page, selector, screenshot, and available browser details. No digging through a long thread to find the starting point.
Give developers the full context.
Send the page path, selector, screenshot, and available traces with the feedback. Your coding agent starts with the same evidence as the reviewer, instead of a sentence copied out of a ticket.
Bridge the browser review to the workbench.
Connect LayerDock's review context to an MCP-compatible coding agent and the tools your team already uses. Keep the handoff close to the cloud workspace where implementation happens.
Keep the person and the agent aligned.
The reviewer explains what they saw; the agent receives the supporting details. Your team can check the proposed change against the original page and feedback before it ships.
Make the next step smaller.
Skip the manual trail of screenshots, selectors, and copied logs. Bring the issue into the coding workflow with enough context to investigate and decide what to do.
Make the next
website review easier.
Give your team and clients one clear place to see the issue, capture the context, and share the fix.
Frequently asked questions
What to know about LayerDock, privacy, and getting started.
What is MCP?
The Model Context Protocol, an open standard that lets an AI coding agent call outside tools. LayerDock ships an MCP server that works with Claude Code, Cursor, Codex CLI, Windsurf, VS Code and Zed.
What context can LayerDock pass to an agent?
Each pin’s comment, element selector, screenshot and page URL, plus the console and network trace on the Agency plan. The agent can also reply on the thread and resolve the pin when the fix is in.
Does LayerDock write or approve the code?
No. Your coding agent writes the change and your team reviews and approves it. LayerDock supplies the context and records the reply.