Query, analyze, and manage your PostHog insights
Add new capabilities to Claude beyond text generation
Example: Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Provide Claude with access to relevant context and data
Example: Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Automate multi-step workflows combining AI and external tools
Example: Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Time estimate: 15-60 minutes depending on server complexity
Prerequisites
dot.
Get feedback on anything you build in Claude.
Duvo
Create, monitor, and manage your Duvo automations
Countersignatory
Let an agent buy a verified human's approval, verification or judgment at a published spot price, paid by x402 (USDC on Base) or card, answered by hand or refunded.
Ample Computer
Deploy apps, databases and storage from Claude and get a live URL, with no servers or cloud console to set up.
Vertiso Memory
Portable, durable memory for every AI agent you use
Coinversa Pulse
PostHog has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
We evaluated PostHog against two servers with overlapping tools; this profile had the clearer scope statement.
PostHog is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
Useful MCP listing: PostHog is the kind of server we cite when onboarding engineers to host + tool permissions.
PostHog reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
PostHog is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
According to our notes, PostHog benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
PostHog is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
Useful MCP listing: PostHog is the kind of server we cite when onboarding engineers to host + tool permissions.
I recommend PostHog for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
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Manual configuration
{
"mcpServers": {
"posthog": {
"url": "https://mcp.posthog.com/mcp"
}
}
}Sign in: Required.
Query, analyze, and manage your PostHog insights
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
Compatibility
✓ Use when
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid when
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.
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