PostHog MCP use cases

"What are the top 5 errors in my project this week?" – Returns error groups ranked by occurrence with affected user counts.

"Show me the full stack trace for the most recent crash, then propose a fix." – Pulls the stack trace, error message, and metadata so the agent can suggest code changes.

"Show me error logs from the payments service in the last hour." – Filters logs by severity and service, returning timestamps, messages, and trace IDs.

"Mark this issue as resolved and assign all future TypeErrors to the backend team." – Updates issue status and creates an assignment rule in one go.

"How many unique users signed up in the last 7 days, broken down by day?" – Runs a trends query and returns daily counts.

"What are the most common paths users take after signing up?" – Executes a paths query that reveals the dominant journeys after the signup event.

"Show me the navigation paths from the pricing page to checkout." – Runs a paths query with start and end points to surface the routes that actually convert.

"Create a feature flag called new-checkout-flow enabled for 20% of users." – Creates the flag with a 20% rollout and returns the key and a link to the flag in PostHog.

"Create a multivariate flag homepage-hero-test with control at 34%, variant_a at 33%, and variant_b at 33%." – Creates a multivariate flag (variant percentages must be integers summing to 100).

"Create an A/B test for our pricing page that measures conversion to checkout." – Sets up an experiment with control and test variants and a funnel metric.

"Create an early access feature called 'Dark Mode' in draft stage." – Creates the feature and auto-links a dark-mode feature flag.

"Find all feature flags rolled out to less than 50% of users." – Queries system.feature_flags and filters by rollout percentage.

"Find users who triggered signup but didn't complete onboarding in the last 30 days." – Constructs a HogQL query against events with subqueries to identify the gap.

"Which cohorts contain users who made a purchase in the last week?" – Cross-references system.cohorts with purchase events.

"Create a Slack destination that sends a message when users sign up." – Finds the Slack template, then creates a destination function filtered to the signup event.

"List all my destination functions and show which ones are enabled." – Returns every destination with its enabled status.

"Test my webhook destination with a mock purchase event." – Sends a mock payload and returns execution logs.

"Create a dynamic cohort power-users for users who completed the purchase event more than 5 times in the last 30 days." – Creates a behavioral cohort with the criteria you described.

"Create a prompt called code-reviewer with instructions for reviewing pull requests." – Adds a new prompt available across all your MCP-connected agents.

"List all open support tickets." – Returns open tickets with numbers, priorities, and message counts.

"Mark ticket #3 as resolved and set ticket #7 to high priority." – Updates both tickets in a single call.

"Show me the top errors from the last 24 hours, sorted by number of affected users." – Returns the highest-impact issues so you can pick one to dig into.

"Pull the full stack trace and affected sessions for the top issue, then explain the likely root cause." – The agent grabs the trace plus session replays and reasons about what's failing.

"Create a feature flag called disable-broken-checkout rolled out to 100% of users, and wire it into the failing code path in this repo." – Creates the flag in PostHog and writes the guard into your codebase.

"Mark the issue as resolved and create an assignment rule so similar TypeErrors go to the backend team automatically." – Closes the loop on triage and prevents the next incident from going unowned.

"Create a feature flag called new-onboarding-flow and roll it out to 50% of users." – Creates the flag with the rollout configured.

"Create an A/B test on top of new-onboarding-flow that measures completion of the onboarding-completed event." – Sets up an experiment with the flag as the treatment and a funnel metric for completion.

"Create an early access feature called 'New onboarding' in beta stage so users can opt in via our feature previews UI." – Adds the early access entry and links it to the flag for self-service enrollment.

"Create a dashboard called 'Onboarding launch' with the experiment results, daily active users, and the onboarding funnel." – Builds a launch dashboard you can share with the team.

"Run a funnel from pageview on /pricing through clicked-checkout to completed-purchase over the last 14 days." – Identifies which step is bleeding users.

"For users who dropped off at the worst step, run a paths query showing where they went instead." – Surfaces the pages users escape to – often a clue to what's confusing them.

"Are there any errors or slow logs correlated with that drop-off page in the same time window?" – Cross-references error tracking and logs to see if the problem is technical, not just UX.

"Create an alert that pages me if the pricing-to-purchase conversion drops more than 10% week-over-week." – Sets up a guardrail so the next dip doesn't sit undiscovered.