LogRocket MCP Integration

LogRocket is a session replay and product analytics platform that records user sessions so engineering and product teams can see exactly what users experience. The LogRocket MCP integration through Weldable allows AI agents to query session data, pull error reports, and surface user experience issues using natural language. Connect your LogRocket account and let your agent help you debug user-facing problems faster.

Use cases

Investigate user-reported bugs

When a support ticket mentions a specific issue, ask your AI agent to search LogRocket for sessions where the user encountered errors or rage clicks on the affected page. The agent retrieves relevant session metadata so your engineering team can jump directly to the replay instead of trying to reproduce the bug manually.

Monitor error trends

Ask your agent to pull a summary of the most frequent JavaScript errors from LogRocket over the past week. The agent groups errors by type and affected URL, helping your team prioritize which issues to fix based on how many users they impact.

Track feature engagement

After launching a new feature, ask your agent to query LogRocket for sessions that include interactions with the feature. The agent reports on usage volume, time spent, and any errors encountered, giving your product team quick feedback on how the release is performing.

Correlate performance issues with user frustration

Ask your agent to cross-reference slow page loads or network errors with rage click and dead click data in LogRocket. The agent identifies pages where performance problems directly cause user frustration, helping your team prioritize performance fixes based on real user impact rather than abstract metrics alone.

How it works

Connect your LogRocket account to Weldable by providing your API credentials. Once connected, your AI agent processes requests like "find sessions with errors on the checkout page in the last 24 hours" or "how many users experienced rage clicks this week." Weldable maps these queries to the LogRocket API and returns structured results your agent can summarize.

Tips

Include URL patterns in your queries. LogRocket sessions are tied to specific pages. Specifying the URL or page name helps your agent narrow results to the area of interest quickly.

Combine with GitHub for bug tracking. When your agent finds a recurring error in LogRocket, have it create a GitHub issue with the error details and session count so your engineering team can triage it directly.

Use date ranges to keep results manageable. LogRocket captures a high volume of session data. Always include a time window in your requests to avoid pulling more data than your agent needs to answer the question.

Filter by user email for support cases. When investigating a specific user's experience, provide their email address so the agent can find their sessions directly. This is much faster than searching by page or error type when you already know which user reported the issue.