How to Use the Hotjar MCP in Vercel AI SDK

Q: How to use Hotjar with the Vercel AI SDK?

You connect the MCP Server to your createMCPClient instance. Then you can pass the Hotjar tools to generateText or streamText to have your agent pull recordings, heatmaps, and survey data.

Q: Can the Vercel AI SDK get Hotjar survey responses?

Yes. The agent can use the listsurveys tool to find the survey ID, then listsurveyresponses to get the actual feedback from your users.

Q: How do I check Hotjar site status with the Vercel AI SDK?

Use the checkhotjarstatus tool. It's a simple way to confirm your agent has a valid connection before running more complex queries for recordings or funnels.

Get user insights streaming into your UI. This Hotjar server lets your Vercel AI SDK app display heatmaps and recordings in real-time.

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Connect Hotjar MCP to Vercel AI SDK

Create your Vinkius account to connect Hotjar 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 Hotjar with Vercel AI SDK

Ask AI about this MCP

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Claude

Perplexity

Watch user friction as it happens

Your agent can call `list_recordings` to find recent sessions, then use `get_recording` to pull the specific one you need to debug an issue. Because the Vercel AI SDK streams tool results, you can build a UI where the recording details load directly into a player without a full page refresh. It's a direct window into how people are using your site, right inside your own dashboard.

Build a live feedback dashboard

This MCP Server gives your agent tools to check for new user comments. It can run `list_surveys` and `list_feedback_responses` to pull in the latest qualitative data as it arrives. Instead of waiting for a daily email digest, you can stream survey results directly into a Next.js component. Your product team gets to see what users are saying, the moment they say it.

Show designers exactly where to focus

Your agent can get data from `list_heatmaps` and `get_heatmap` to see where users are actually clicking. No more guessing games about button placement or confusing layouts. This is about giving your UI tools real evidence. The AI client can fetch a heatmap for a specific page and you can render it as an overlay in your app, showing your team exactly what needs to be fixed.

Setup guide

Set up Hotjar 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 Hotjar 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 Hotjar transactions",
});

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

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Hotjar. 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 Hotjar MCP in Vercel AI SDK

You connect the MCP Server to your `createMCPClient` instance. Then you can pass the Hotjar tools to `generateText` or `streamText` to have your agent pull recordings, heatmaps, and survey data.

Yes. The agent can use the `list_surveys` tool to find the survey ID, then `list_survey_responses` to get the actual feedback from your users.

Use the `check_hotjar_status` tool. It's a simple way to confirm your agent has a valid connection before running more complex queries for recordings or funnels.

You get to build AI-powered UI that shows real user behavior data from Hotjar without writing a separate backend. The Vercel AI SDK streams the tool output directly into your components.

The server only touches the data needed for a tool call, like session recording URLs or survey text. Vinkius runs each MCP tool in a sandboxed, ephemeral environment, so your user data from `get_recording` isn't stored. The connection is secured, and your app just gets the results.

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