mcp-posthog-0eba9f25

Manage PostHog dashboards, insights, experiments, and feature flags via MCP tools.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/SillyHippy/PAULFAM --skill mcp-posthog-0eba9f25
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: mcp-posthog-0eba9f25
Source: https://github.com/SillyHippy/PAULFAM/tree/main/.local/mcp_skills/posthog_0eba9f25
Command: npx skills add https://github.com/SillyHippy/PAULFAM --skill mcp-posthog-0eba9f25

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Call tools from the PostHog MCP server through code_execution callbacks to manage dashboards, insights, experiments, feature flags, and more.

Core Features & Use Cases

  • Unified MCP access: Use the listed PostHog MCP tools to perform CRUD and query operations across dashboards, insights, experiments, and flags.
  • Operational workflows: Create/update/delete dashboards, insights, experiments, feature flags, and execute queries against PostHog.
  • Use Case: Retrieve a dashboard, create an insight, or run an event query and process results in your app.

Quick Start

Use the MCP tools to query or modify PostHog data (e.g., actions, dashboards, insights).

Frequently Asked Questions about mcp-posthog-0eba9f25

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I manage PostHog dashboards and insights programmatically?

Manage PostHog dashboards and insights programmatically by invoking PostHog MCP tools through code_execution callbacks. It implements documented mcpPostHog functions supporting optional data payloads and IDs to retrieve, create, update, or delete resources.

Can I automate PostHog feature flag and experiment management via MCP?

Automate PostHog feature flag and experiment management via MCP by calling mcpPostHog tools through code_execution callbacks. It supports creating, updating, deleting, and fetching flags and experiments across automation pipelines.

What is the PostHog MCP server interface for querying event data?

The PostHog MCP server interface for querying event data uses code_execution callbacks to invoke mcpPostHog functions that execute queries against PostHog. It returns objects with status and content for processing results in your app.

Does the PostHog MCP integration support creating custom actions and queries?

The PostHog MCP integration supports creating custom actions and queries by implementing the full suite of mcpPostHog functions via code_execution callbacks. You can manage actions, dashboards, insights, experiments, and feature flags with defined parameters.

What's the best way to integrate PostHog analytics into an automation pipeline?

Integrate PostHog analytics into an automation pipeline by using code_execution callbacks to call PostHog MCP tools for querying and modifying dashboards, insights, experiments, and feature flags. It returns objects with status and content for pipeline processing.

Are there limitations when using code_execution callbacks for PostHog MCP operations?

Limitations when using code_execution callbacks for PostHog MCP operations stem from relying on the documented mcpPostHog function suite with defined parameters. Operations return objects with status and content, requiring you to handle optional data payloads and IDs within those constraints.