"PostHog" matching MCP servers:

Enables AI agents to query PostHog analytics data directly via tool calls, including insights, events, feature flags, trends, and persons.

Enables interaction with PostHog analytics platform, allowing users to list projects, create annotations, and search insights through natural language in Claude Desktop.

Enables interaction with PostHog product analytics API, supporting project listing, event queries, insight analysis, feature flag management, and annotation creation.

Enables interaction with PostHog's product analytics platform through natural language, allowing users to manage feature flags, view errors, and access other platform features.

MCP server that serves PostHog JavaScript SDK documentation to coding agents via efficient retrieval, offering tools to query and assemble cited context for tasks like capturing custom events.

Connects AI assistants to PostHog to query events, persons, insights, dashboards, feature flags, cohorts, and experiments through the Model Context Protocol.

A Model Context Protocol server that enables Claude Desktop users to interact directly with PostHog, allowing them to view projects and create annotations through natural language commands.

A server that allows users to interact with PostHog analytics platform through Claude Desktop, enabling listing projects, creating annotations, searching insights, and accessing documentation.

A read-only MCP server that lets Claude read PostHog feature-flag state and metadata, enabling listing flags, checking staleness, and evaluating flags for a person.

Enables interaction with Posthog through a standardized MCP interface, providing access to Posthog's tools and services for analytics and product management.

A server that implements the Model Context Protocol (MCP) on Cloudflare Workers, allowing AI models to access custom tools without authentication.

Connects to GA4, Mixpanel, PostHog and other analytics platforms, providing 9 tools for trend analysis, anomaly detection, funnel analysis, and more via natural language queries.

Enables analyzing SEO page performance using data from Google Search Console, Google Analytics, and PostHog to identify weak CTR, decaying rankings, and other issues, providing actionable recommendations.

A minimal MCP server built with NestJS to test PostHog MCP analytics integration, exposing mocked tools for trends and funnel analysis.