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How to Use the Hotjar MCP in Mastra AI

Build bulletproof Hotjar reporting workflows. Mastra AI uses this server to automate UX analysis with built-in retries and error handling.

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Works with every AI agent you already use

…and any MCP-compatible client

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Mastra AI

Connect Hotjar MCP to Mastra AI

Create your Vinkius account to connect Hotjar to Mastra AI 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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Automate your weekly UX audit

A Mastra AI agent can run a scheduled workflow to `list_sites`, then pull all new session recordings and survey responses using `list_recordings` and `list_survey_responses`. The workflow engine is the key. If the Hotjar API is temporarily down, Mastra AI automatically retries the call to `get_recording` with exponential backoff. Your report doesn't fail because of a transient network blip.

Create conditional monitoring for funnels

Your agent can periodically run `list_funnels` to check conversion rates. You define the thresholds for what's good or bad. Here’s where it gets smart: if a funnel's drop-off rate spikes, your Mastra AI workflow can branch. It can automatically pull the relevant `get_heatmap` for that page and create a high-priority ticket with the data attached.

Build a feedback triage workflow with this MCP Server

An agent can use `list_feedback_responses` to get new user comments. From there, it can analyze the text for sentiment or keywords. Based on the analysis, the workflow decides what's next. A negative comment might trigger a `lookup_user` call to get more context before paging a support lead. A feature request could be routed directly to your product backlog. It’s automation with logic.

Setup guide

Set up Hotjar MCP in Mastra AI

Prerequisites

  • Node.js 18+ and a TypeScript project
  • @mastra/mcp + @mastra/core packages
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

    Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).

  2. 2

    Configure the MCPClient

    Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Discover and inject tools

    Call mcpClient.listTools() and spread the result into your agent's tools object. All Hotjar tools become native Mastra tools.

  4. 4

    Run with any model

    Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts
import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "hotjar-mcp-client",
  servers: {
    "hotjar-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Hotjar Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Hotjar tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Hotjar transactions"
);
console.log(result.text);

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 Mastra AI

You add the Vinkius URL to your `MCPClient` configuration. Mastra AI handles the connection, and you can call any of the 15 Hotjar tools from within your agent workflows.
Absolutely. Use the `list_funnels` tool in a scheduled workflow. You can then add conditional logic to act on the data, like sending an alert if a conversion rate drops.
Mastra AI's workflow engine has built-in support for retries. If a call to `get_recording` from the Hotjar server fails, it will automatically try again, preventing your entire workflow from failing over a temporary issue.
Yes, the `lookup_user` tool lets your agent find a specific user's session history. This is useful in a workflow for triaging a support ticket or understanding a bug report.
Yes. Your Mastra AI agent communicates with a single Vinkius endpoint. The MCP Server itself executes tool calls like `get_recording` in a zero-trust container that is destroyed after use, so sensitive session data is never persisted on the server.

Start using the Hotjar MCP today

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