From client bug to ready-to-review
Ready to set up Marker.io MCP?
Marker.io captured everything a developer needed to fix a bug, but a human still had to open each report and read through it before any work could start. That manual step sat in front of every single bug fix.
Hiyield connected Marker.io's MCP server to a Claude-based coding agent through ClickUp. Now the agent reads the bug report directly from Marker and writes the code change itself, ready for a developer to review and approve.
The problem they were solving
Bug reports in Marker.io are detailed. Screenshot, console errors, network requests, browser state, all of it. But a coding agent can't act on a report it can't see. So every bug still started the same way: a developer opening the Marker report, reading through it, and only then deciding what to do. The agent was ready to write code. It just had no way to know what was broken.
What they built
Marker.io's MCP server wired to a Claude-based coding agent, with ClickUp acting as the middleware.
The flow looks like this:
- A client logs a bug in Marker.io. Screenshot, console, network requests, and browser state are captured automatically.
- The bug flows into ClickUp as a ticket, no manual handover needed.
- Claude picks up the ticket and queries the MCP server directly, pulling the same context a developer would.
- Claude builds a picture of the issue, writes a proposed code change, and submits it for review.
- A human developer reviews the change and approves it. That's the only manual step left.
Where they are now
End-to-end flow validated on a real test project. Ready to run on the next live client engagement when it hits QA, with Hiyield's own website backlog lined up as the second target.
Why this is worth stealing
- The MCP server gives the coding agent the same view of a bug that a developer has.
- The pattern works with any tracker and any MCP-aware coding agent.
- The bottleneck shifts from developer availability to developer sign-off.
"A small bug used to mean a developer spending 30 minutes just getting to the point of writing a fix. Now it's a two-minute PR review. The work still gets done — it just happens automatically."
More success stories
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Frequently Asked Questions
What is MCP?
Model Context Protocol. It's an open standard that lets AI agents connect to external tools and data. The Marker.io MCP server makes your bug reports available to any MCP-compatible agent.
What is Marker.io?
Which AI agents work with it?
Claude (Desktop and Code), Cursor, Windsurf, and any other client that supports MCP.
What can the agent access?
Everything captured in a Marker.io bug report: screenshots, URL, console logs, network requests, browser and OS details, and user description.
Do I need to be a developer to set it up?
You need to be comfortable running a setup command in your AI client. Our setup guide walks through it step by step. Most users are up and running in under 5 minutes.
Is it secure?
Yes. The MCP server uses your Marker.io credentials and only exposes data from projects you have access to. Nothing is shared outside your workspace.
Is it included in my plan?
Yes, the MCP server is available to all Marker.io customers at no extra cost.
Can the AI agent fix bugs on its own?
The agent can read reports, draft responses, and open pull requests. You decide how much autonomy to give it. Most teams keep a human in the loop for the final review.