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Analyze OpenReplay session replays to uncover issues and actionable user insights.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "OpenReplay Session Analysis MCP Server" yet — see the docs or source repo.
Analyze OpenReplay sessions related to the signup flow from the last 7 days. Identify where users drop off most often, summarize key behavior patterns, and provide 5 actionable optimization recommendations.
A report showing high-drop-off signup steps, common behavior patterns, and prioritized optimization recommendations.
Search OpenReplay sessions related to checkout page errors. Analyze user journeys, behaviors before and after the error, and likely triggering conditions, then summarize root-cause hypotheses.
An analysis summary with affected session samples, triggering paths, likely causes, and debugging directions.
Create AI summaries for 20 specified OpenReplay sessions. Extract user intent, key blockers, and recurring confusion points, then group them by severity.
Structured session summaries including user goals, blockers, recurring patterns, and severity categories.
Analyze Dota 2 matches from replays and OpenDota with coaching guidance.
Analyze videos with scenes, transcripts, visual descriptions, and storyboards.
Captures recordings and turns them into timestamped Markdown bug reports.
Invoke intelligent analysis, code execution, and file operations through MCP tools.
Query and analyze telemetry data in natural language to find performance issues.
Enable AI to extract text, analyze structure, and understand documents deeply.