Enables AI agents to query and triage Bugzar QA session reports (status, comments, repro steps, console errors, failed requests, network, system info) scoped to a project via the MCP protocol.
Enables coding agents to access local browser diagnostics—runtime errors, console logs, network failures, breadcrumbs, DOM snapshots, and screenshots—and run closed-loop verification to debug and confirm fixes.
Enables AI agents to capture, replay, inspect, diff, share, and manage executable bug artifacts (.bug files) via the BugProof CLI, supporting 10 tools and structured prompts for debugging workflows.
Enables AI agents to query runtime debugging facts (stack traces, logs, function arguments) captured by Syncause, allowing them to fix root causes with evidence instead of guessing.
Enables AI coding agents to retrieve QA cases from a curated knowledge base grounded in real bugs, supporting symptom search and feature-wide coverage for test planning.
Read visual bug reports from Feedbug in your AI coding agent: screenshot, console logs, failed network requests, session replay and the DOM context of the element the tester clicked. Trace the bug to its source file, comment and resolve without leaving the editor.