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Read Feedbug bug reports in an AI coding agent and trace fixes.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "feedbug-mcp" yet — see the docs or source repo.
Read the latest visual bug report from Feedbug. Use the screenshot, console logs, failed requests, replay, and DOM context to identify the most likely source file and root cause.
A likely source file, root-cause analysis, and recommended next steps for the fix.
Open this Feedbug bug report, trace it to the relevant source code, apply a fix, and write a short note explaining what changed and why it resolves the issue.
Patched code changes plus a concise explanation suitable for commit or review.
After reviewing the context in this Feedbug report, draft a comment summarizing reproduction clues, the diagnosis, and the recommended status update.
A professional comment ready to post to the bug record.
Developers can read Feedbug screenshots, logs, failed requests, and DOM context directly inside an AI coding agent to quickly locate the source of a frontend issue. This reduces context switching across tools.
When a bug is hard to reproduce consistently, teams can use the session replay and clicked-element context in the report to understand the user path and trace the related code. It is useful for interaction-heavy or environment-dependent issues.
After locating the source file, developers can add comments and move resolution forward without leaving the editor. This fits workflows where findings should be documented before or during the fix.
Based on the description, it can read Feedbug screenshots, console logs, failed network requests, session replay, and the DOM context of the element the tester clicked.
It helps you trace visual bug reports to source files inside an AI coding agent, then comment on and resolve the issue within the editor. The main value is shortening the path from bug evidence to code fix.
The provided material does not include installation steps or prerequisites. For setup details and whether accounts or connection settings are required, see the source repository.
Retrieve bug context and evidence to help coding agents diagnose issues.
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Let AI inspect DOM, console, and network to debug web apps.
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Capture screenshots and analyze visual bugs with written debugging reports.
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