Turn bug reports into session replay evidence
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Tracked since2026
0 reviews trackedWhat is LogRocket MCP?
LogRocket's MCP server hands frontend session replay data to a coding agent, which turns a vague bug report into actual evidence. The find_sessions tool filters replays by user, error, page, release and other attributes, and watch_sessions analyzes one or more of those sessions and extracts what happened inside them, including the console errors, failed network requests and user actions that led up to the problem.
Around that core, find_issues queries LogRocket's grouped issues along with any analyses attached to them, build_metric returns product analytics such as funnel and conversion data, and use_logrocket runs open-ended natural language questions through Ask Galileo when none of the structured tools fit the question. The list_organizations and list_projects tools handle scoping for accounts that cover several products or environments.
The workflow it supports best is regression hunting: point an agent at a release, let it find the sessions where a flow broke, read the stack traces, and correlate that frontend evidence against backend observability before it proposes a fix. It authenticates over OAuth or an API key, with documented setup for Cursor, Claude Code, Claude Desktop, Codex and VS Code. Built for frontend and full-stack engineers who triage user-reported bugs.
Key Features
Filters session replays by user, error, page, release and other attributesAnalyzes selected sessions and extracts the console errors, network failures and user actions behind a bugQueries grouped issues together with the analyses LogRocket attaches to themBuilds product metrics such as funnel and conversion data on demandRuns open-ended natural language questions against LogRocket data via Ask GalileoConnects over OAuth or API key with setup for Cursor, Claude Code, Claude Desktop, Codex and VS Code
Pricing
Freemium
LogRocket MCP offers a generous free tier with optional paid upgrades for advanced features.
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LogRocket MCP FAQ
How does LogRocket MCP turn a vague bug report into session replay evidence?
LogRocket MCP hands frontend session replay data to a coding agent, which uses the find_sessions tool to filter replays by user, error, page, release, and other attributes. The watch_sessions tool then analyzes one or more of those sessions and extracts what happened inside them, including console errors, failed network requests, and user actions that led up to the problem. This workflow turns a vague bug report into actual evidence for the agent to act on.
Which teams benefit most from using LogRocket MCP?
Frontend and full-stack engineers who triage user-reported bugs benefit most from LogRocket MCP. It is built for these engineers to point an agent at a release, find sessions where a flow broke, read stack traces, and correlate frontend evidence against backend observability before proposing a fix. The tool is designed to support regression hunting, which is a common task for these teams.
How does LogRocket MCP compare to PostHog for debugging frontend issues?
Unlike PostHog, which is a broader analytics platform, LogRocket MCP is specifically built to turn bug reports into session replay evidence for coding agents. It provides structured tools like find_sessions and watch_sessions to filter and analyze replays, extracting console errors, failed network requests, and user actions. PostHog does not offer this same MCP-based session replay evidence workflow for agents.
What are the main limitations or trade-offs of using LogRocket MCP?
LogRocket MCP is centered on frontend session replay and regression hunting, so it is not designed for backend observability or non-replay analytics tasks. Its structured tools cover sessions, issues, metrics, and scoping, but for open-ended questions that do not fit those tools, it relies on Ask Galileo through the use_logrocket tool. Teams needing deep backend tracing or non-frontend analytics would need to pair it with other tools.
How is LogRocket MCP priced?
LogRocket MCP is available on a free tier, with paid plans for more usage and features. The free tier allows you to start using the MCP server and its tools without upfront cost. Paid plans provide additional capacity and capabilities as your needs grow.
Can LogRocket MCP integrate with coding agents like Cursor or Claude Code?
Yes, LogRocket MCP has documented setup for Cursor, Claude Code, Claude Desktop, Codex, and VS Code. It authenticates over OAuth or an API key, making it straightforward to connect to these coding agents. This allows engineers to use the MCP server directly within their preferred agent environment.
What kind of user actions and errors can LogRocket MCP extract from sessions?
LogRocket MCP extracts console errors, failed network requests, and user actions that led up to a problem from analyzed sessions. The watch_sessions tool analyzes one or more sessions to pull out these details. This evidence helps coding agents understand the sequence of events that caused a bug.
How does LogRocket MCP handle scoping for accounts with multiple products or environments?
LogRocket MCP includes list_organizations and list_projects tools to handle scoping for accounts that cover several products or environments. These tools let the agent identify the correct organization and project before running other tools like find_sessions or find_issues. This ensures the session replay and issue data are pulled from the right context.
Source: docs.logrocket.com