PostHog/posthog
by Various
: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
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
Open-source & AI alternatives
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