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PostHog/posthog

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:hedgehog: PostHog is the leading platform for building self-driving products. Our developer tools – AI observability, analytics, session replay, flags, experiments, error tracking

MCP

PostHog/posthog

Added 27 Sept 2026

#ab-testing#ai-analytics#analytics#cdp#data-warehouse#experiments#feature-flags#javascript
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Overview

PostHog is an open-source product analytics platform that provides tools for session replay, feature flags, experiments, error tracking, and logs. It captures context for AI agents to diagnose problems and ship fixes, and can be controlled via Slack, web, desktop, or MCP. The project is written in Python and has nearly 40,000 GitHub stars.

Best for

Best for
Product teams building data-driven, self-improving applications

Use cases

  • Monitor user behavior with session replay and analytics
  • Run A/B tests and manage feature flags
  • Debug AI agents with observability and error tracking

How to use

Clients listed in this record (not verified here)

Claude Code, Cursor

Notes

39,968 stars on GitHub. Last updated 2026-09-27.

Pros

  • Open source with a large community and active development
  • All-in-one suite covering analytics, experimentation, and monitoring
  • Multiple control interfaces including MCP for AI integration

Cons

  • Self-hosting requires significant infrastructure and maintenance
  • Feature-rich platform may have a steep learning curve
  • Python codebase may not fit all deployment environments
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