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PostHog MCP

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Connect AI agents to PostHog for autonomous product operations

AI & Automation
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Tracked since2026
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The Bottom Line

Entry price

Free plan available, paid tiers above

Biggest pro

Eliminates context switching by letting AI agents work directly in your editor

Biggest con

AI-powered tools require enabling AI data processing and may incur additional costs

TL;DR - PostHog MCP

  • Free hosted MCP server that lets AI agents perform PostHog operations using natural language prompts
  • Supports many MCP-compatible clients: PostHog Code, Claude, Cursor, VS Code, Zed, Windsurf, Codex, and more
  • Enables autonomous workflows like error triage, feature flag management, analytics queries, and support ticket handling
Pricing: Free plan available
Best for: Growing teams

What is PostHog MCP?

Editorial review
PostHog MCP is a free, hosted Model Context Protocol (MCP) server that enables AI agents to directly interact with your PostHog instance. Using plain text natural language prompts, agents can ship feature flags, investigate errors, run HogQL analytics queries, manage experiments, triage support tickets, configure CDP destinations, and much more — all without leaving your code editor or switching contexts. The server works with any MCP-compatible client, including PostHog Code, Claude, Cursor, VS Code, Zed, and others. While connecting to the MCP server and calling its tools is free, some tools use large language models internally and may be billed as PostHog AI spend. The server automatically routes requests to the correct data region (US or EU) based on the authenticated account. Setup takes about 30 seconds with the PostHog Wizard, and you can choose from 20+ example prompts and multi-step recipes to get started quickly.
how we evaluateSourceposthog.com ↗

Pros & Cons

Pros

  • Eliminates context switching by letting AI agents work directly in your editor
  • Wide compatibility with popular MCP clients and platforms
  • Generous free tier with no upfront cost to connect and use basic tools

Cons

  • AI-powered tools require enabling AI data processing and may incur additional costs
  • Requires an MCP-compatible client and understanding of the Model Context Protocol

Preview

Key Features

Natural language interface for PostHog operations via MCPShip feature flags, run HogQL queries, and manage experiments from promptsDig into stack traces, error groups, and propose fixes in-editorTriage support tickets and CDP destinations through AI agentsWorks with 20+ MCP-compatible clients including PostHog Code, Claude, Cursor, VS Code, and ZedAutomatic US/EU data region routing based on authenticated accountFree to connect; AI-powered tools billed as PostHog AI spend30-second setup with the PostHog Wizard or manual configuration

Pricing Plans

Pricing checked Jul 31, 2026

Free

Free

Everything in all plans, plus:

  • No credit card required
  • Generous monthly free tier
  • Community support
  • 1 project
  • 1-year data retention
  • Shared resource configurations: 1 configuration
  • Managed reverse proxy: 2 proxies

Pay-as-you-go

Starts at $0/mo

Everything in all plans, plus:

  • Usage-based pricing after free tier
  • Pay nothing if below free tier limits
  • Set billing limits per product
  • Standard support (email, Slack-based over $2k/mo)
  • 6 projects
  • 7-year data retention
  • Shared resource configurations: 2 configurations
  • Managed reverse proxy: 10 proxies

Included in all plans

  • Unlimited team members
  • Unlimited tracked users
  • API access
  • SSO via Google, Github, or Gitlab
  • 2FA
Calculate your costView full pricing

Is PostHog MCP worth the price?

85/100

PostHog's MCP pricing is exceptionally generous with a robust free tier covering unlimited users and team members, making it ideal for small teams and startups.

The pay-as-you-go model starts at $0 and scales with usage, offering 7-year retention and more projects, but costs can grow with heavy event volumes. This is best for product-led teams wanting to experiment with AI agents without upfront commitment.

Hidden Costs & Gotchas

Usage-based pricing can spike at high volumes

No annual discount or reserved instance options

Shared resource limits may throttle performance

Standard support only; premium requires $2k+/mo spend

Only 1 project on free tier restricts scaling

How PostHog MCP Compares to Competitors

Compared to proprietary analytics platforms like Amplitude or Mixpanel, PostHog's free tier is far more generous for AI agent integration, but those competitors offer more mature ML features. PostHog's open-source roots and transparent usage pricing undercut many closed-source tools, though heavy users may find costs similar to self-hosted alternatives.

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PostHog MCP FAQ

How does the PostHog MCP server authenticate with my PostHog account?

The PostHog authentication server automatically routes you to the correct data region (US or EU) based on the account you log in with, so no additional region configuration is needed.

Which MCP clients are officially supported?

Supported clients include PostHog Code, Claude Desktop, Claude Code, Codex, Cursor, VS Code, Windsurf, Zed, and platforms like Lovable, Replit, and v0. The setup wizard works with all of these.

Can I use the PostHog MCP server to create and manage feature flags?

Yes, you can ship a feature flag from a prompt, manage flag assignments, and even create assignment rules for error types — all through natural language commands to your AI agent.

What types of HogQL queries can I run through the MCP server?

You can run any HogQL query, including product analytics queries, user properties, events, and information_schema tables. The agent can also surface PostHog system tables and return results in your editor.

How does the MCP server handle error tracking and triage?

The server exposes tools to retrieve top error groups, full stack traces, and metadata. Agents can propose fixes, mark issues as resolved, and assign future errors to specific teams — all from within your editor.

Is there any cost associated with using the PostHog MCP server?

Connecting to the MCP server and calling its tools is free. However, some tools use LLMs internally and may be billed as PostHog AI spend (500 free credits per month, then $0.01/credit). These AI-powered tools are only available when AI data processing is enabled in your organization settings.

Can I use the MCP server to set up CDP destinations or data pipelines?

Yes, the server includes tools for configuring CDP destinations and real-time data pipelines. You can set up a destination, manage batch exports, and trigger events — all via agent prompts.

Does the MCP server support multi-step workflows or recipes?

Yes, the documentation includes 20+ example prompts and multi-step recipes that chain together multiple tools, such as identifying errors, fixing them, and then creating a feature flag to roll out the fix.

Source: posthog.com

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