PostHog MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect PostHog through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using PostHog, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About PostHog MCP Server
Connect your PostHog project to any AI agent and take full control of your product analytics and feature management through natural conversation.
The Vercel AI SDK gives every PostHog tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
What you can do
- Insight Exploration — List and retrieve detailed metadata for saved insights, including trends, funnels, and retention charts.
- User Tracking — List identified persons and inspect their properties to understand individual user behavior.
- Feature Management — Maintain a clear view of all feature flags and their current configurations.
- Experiment Monitoring — List active and past experiments to track product improvements and results.
- Event Auditing — List the most recent events captured by your project to verify data ingestion and user actions.
The PostHog MCP Server exposes 10 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect PostHog to Vercel AI SDK via MCP
Follow these steps to integrate the PostHog MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 10 tools from PostHog and passes them to the LLM
Why Use Vercel AI SDK with the PostHog MCP Server
Vercel AI SDK provides unique advantages when paired with PostHog through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same PostHog integration everywhere
Built-in streaming UI primitives let you display PostHog tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
PostHog + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the PostHog MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query PostHog in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate PostHog tools and return structured JSON responses to any frontend
Chatbots with tool use: embed PostHog capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with PostHog through natural language queries
PostHog MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect PostHog to Vercel AI SDK via MCP:
get_event
Get details for a specific event
get_insight
Get details for a specific insight
get_person
Get details for a specific person
list_actions
List defined user actions
list_dashboards
List project dashboards
list_events
List recent project events
list_experiments
List all active and past experiments
list_feature_flags
List all feature flags
list_insights
) for the project. List PostHog insights
list_persons
List identified persons/users
Example Prompts for PostHog in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with PostHog immediately.
"List all saved insights in our PostHog project."
"Check the status of all feature flags."
"List the last 5 persons identified in our project."
Troubleshooting PostHog MCP Server with Vercel AI SDK
Common issues when connecting PostHog to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpPostHog + Vercel AI SDK FAQ
Common questions about integrating PostHog MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect PostHog with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect PostHog to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.