Hotjar MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 15 tools to Check Hotjar Status, Get Feedback Widget, Get Heatmap, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Hotjar through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
Ask AI about this App Connector for Vercel AI SDK
The Hotjar app connector for Vercel AI SDK is a standout in the Customer Support category — giving your AI agent 15 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 Hotjar, 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 Hotjar MCP Server
Connect your Hotjar account to any AI agent and access user experience analytics through natural conversation.
The Vercel AI SDK gives every Hotjar tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 15 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
- Survey Management — List all surveys, inspect questions and settings, retrieve individual responses, and review aggregate statistics (completion rate, NPS score, trends)
- Feedback Widgets — Browse incoming feedback widgets, inspect rating breakdowns, and review individual user submissions with screenshots
- Heatmaps — List all heatmap snapshots and inspect click, scroll, and move data for specific pages
- Session Recordings — Browse session recordings with duration and page count, and inspect metadata and events for individual sessions
- Conversion Funnels — List all funnels with step-by-step drop-off data for conversion optimization
- User Lookup — Retrieve session history and behavior data for a specific user ID
- Site Management — List all tracked sites configured in your Hotjar account
The Hotjar MCP Server exposes 15 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.
All 15 Hotjar tools available for Vercel AI SDK
When Vercel AI SDK connects to Hotjar through Vinkius, your AI agent gets direct access to every tool listed below — spanning heatmaps, session-recordings, user-feedback, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Verify connectivity
Get feedback widget details
Get heatmap details
Get recording details
Get survey details
Get survey statistics
List feedback widgets
List feedback responses
List funnels
List heatmaps
List recordings
List tracked sites
List survey responses
List surveys
Lookup user
Connect Hotjar to Vercel AI SDK via MCP
Follow these steps to wire Hotjar into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
npm install @ai-sdk/mcp ai @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the script
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Vercel AI SDK with the Hotjar MCP Server
Vercel AI SDK provides unique advantages when paired with Hotjar 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 Hotjar integration everywhere
Built-in streaming UI primitives let you display Hotjar 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
Hotjar + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Hotjar MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Hotjar in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Hotjar tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Hotjar capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Hotjar through natural language queries
Example Prompts for Hotjar in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Hotjar immediately.
"Show the NPS survey results and the top feedback submissions this month."
"Show the heatmap data for our pricing page and the conversion funnel from landing to signup."
"Look up user behavior for user ID 'usr_12345' and show their session recordings."
Troubleshooting Hotjar MCP Server with Vercel AI SDK
Common issues when connecting Hotjar to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpHotjar + Vercel AI SDK FAQ
Common questions about integrating Hotjar 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.