PostHog MCP Server: Analytics and Feature Flags in Your AI Workflow

Stop context switching between PostHog and your development tools. This official MCP server brings your analytics, feature flags, and error monitoring directly into Claude, Cursor, and other AI-powered editors.

Why This Matters

You're already using AI tools for development, but every time you need to check a feature flag status, review error metrics, or analyze user behavior, you're back in the PostHog dashboard. That's dozens of context switches per day, breaking your flow and slowing down decision-making.

The PostHog MCP server eliminates this friction by making your entire PostHog project queryable through natural language, right where you're already working.

What You Can Do

Feature Flag Management

• "What feature flags are currently active for the checkout flow?"
• "Create a feature flag for the new payment gateway with 10% rollout"
• "Disable the experimental_ui flag and tell me which users were affected"

Error Monitoring & Debugging

• "What are the most common JavaScript errors in the last 24 hours?"
• "Show me error patterns for users in the premium tier"
• "Are there any new errors since the last deployment?"

Analytics & User Insights

• "How many users completed the onboarding flow this week?"
• "What's the conversion rate for the new landing page experiment?"
• "Show me user behavior patterns for the feature I just shipped"

Real-World Workflow Integration

Instead of this familiar routine:

1. Writing code in your AI-powered editor
2. Switching to PostHog to check if a feature flag is ready
3. Going back to your editor to implement the logic
4. Switching again to PostHog to create an A/B test
5. Back to your editor to write the tracking code

You get this:

1. "Is the new_checkout_flow flag ready for full rollout?"
2. "Create an A/B test for the checkout button color change"
3. "Add tracking for the conversion event on the success page"

All without leaving your development environment.

Quick Setup

The fastest path is their wizard:

npx @posthog/wizard@latest mcp add

This automatically configures your AI tools with the right credentials and endpoints. For manual setup, you'll need a PostHog personal API key and about 2 minutes to add the configuration to your AI client.

Why This Approach Works

Rather than building another dashboard or creating complex integrations, PostHog built this as an MCP server. That means it works with any MCP-compatible AI tool out of the box - Cursor, Claude Desktop, Windsurf, and others.

The server runs remotely, so there's no local setup, version management, or maintenance. Your AI tools connect directly to PostHog's infrastructure with your credentials.

Perfect For Teams Using

• AI-first development workflows where you want analytics integrated into your existing tools
• Feature flag-heavy architectures where you're constantly checking flag status and creating new experiments
• Data-driven product development where you need quick access to user behavior insights during coding sessions
• Rapid experimentation cycles where you're frequently setting up A/B tests and analyzing results

This isn't about replacing the PostHog dashboard - it's about accessing the data you need most often without breaking your development flow. For complex analysis and visualization, you'll still use the full PostHog interface. But for the daily feature flag checks, error monitoring, and quick analytics queries that interrupt your coding, this keeps you in the zone.