How to Use the Heap MCP in Vercel AI SDK

Q: How do I track user events in Heap with the Vercel AI SDK?

Your agent calls the trackevent tool. Since you're using the Vercel AI SDK, you can run this from an Edge Function and even stream a confirmation back to the client UI.

Q: Can I manage user properties in Heap using the Vercel AI SDK?

Yes. This MCP server gives you the adduserproperties tool, which lets your agent add or change properties on a user's Heap profile. It's perfect for updating a user's status or preferences from your app's backend.

Q: What's the best way to associate anonymous users with their Heap identity using the Vercel AI SDK?

Use the identifyuser tool. Your agent passes both the anonymous ID and the new, known user ID to Heap, which then merges their activity history into a single profile.

Stream Heap analytics directly into your UI. This Vercel AI SDK integration shows data as it happens, not after a loading spinner.

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Connect Heap MCP to Vercel AI SDK

Create your Vinkius account to connect Heap to Vercel AI SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Heap with Vercel AI SDK

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Live Dashboards with the Vercel AI SDK

Let your agent build user dashboards that update in real time. Your AI client can use this Heap MCP to `query_user_profiles` from Heap and stream the results directly into your React or Next.js components. Users see their data change live, without a page refresh. It's not just for reading data. An agent can watch for user actions, then use `add_user_properties` to update a profile. The confirmation streams right back, so your UI can instantly reflect the change—like adding a 'Pro' badge the moment a user upgrades.

See Analytics Events Instantly

Stop wondering if your analytics are working. Use this MCP Server to have your agent `track_event` from an Edge Function the moment something happens on your backend. Because the Vercel AI SDK is built for streaming, you can create a live feed in your admin panel. Every time `track_event` or `identify_user` is called, the event can appear on screen. You get immediate visual confirmation that your tracking is correct.

Interactive Segmenting

Give your users tools to manage their own experience. An agent can fetch a list of available segments with `get_segments`, then display them in the UI as toggles or buttons. When a user joins a mailing list or a beta group, the agent just adds them to the corresponding Heap segment. This is way faster than building custom API endpoints for every little preference. It connects user actions directly to your analytics backend.

Setup guide

Set up Heap MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all Heap tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent Heap transactions",
});

console.log(text);
await mcpClient.close();

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Heap. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Heap MCP in Vercel AI SDK

Your agent calls the `track_event` tool. Since you're using the Vercel AI SDK, you can run this from an Edge Function and even stream a confirmation back to the client UI.

Yes. This MCP server gives you the `add_user_properties` tool, which lets your agent add or change properties on a user's Heap profile. It's perfect for updating a user's status or preferences from your app's backend.

It's designed for backend use, like inside an Edge Function. Your Vinkius endpoint token authenticates requests. Don't expose this token directly in your frontend code.

Use the `identify_user` tool. Your agent passes both the anonymous ID and the new, known user ID to Heap, which then merges their activity history into a single profile.

Your agent's requests for user profile data are handled by Vinkius in an isolated sandbox. The connection is authenticated with a unique token, and the environment is destroyed after each request, so no data lingers.

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