Your bug reports, now readable by AI
The Marker.io MCP server connects your AI agent (i.e., Claude, Cursor) to the bug reports submitted in Marker.io. The agent can read screenshots, console logs, network requests, and browser details, and use them to investigate, respond, or fix.

Auto-resolve website issues with AI
The MCP server hands all of it to Claude, Cursor, or any AI agent, so they can investigate or even fix website issues on your behalf.
Why teams are using it
"When a bug is logged, the agent calls the MCP server to pull everything it needs. Then it attempts a fix and raises a PR. What used to take a developer 30 minutes of context gathering is now a two-minute review."
"It was like having an intelligence layer on top of our tickets. In 10 minutes, I went through over 100 reports and knew exactly where to strike."
Try it on your next bug
Free 15-day trial • No credit card required • Cancel anytime
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.

