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Hotjar MCP Server for LangChainGive LangChain instant access to 15 tools to Check Hotjar Status, Get Feedback Widget, Get Heatmap, and more

Built by Vinkius GDPR 15 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Hotjar through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Ask AI about this App Connector for LangChain

The Hotjar app connector for LangChain 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

python
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "hotjar": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Hotjar, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())
Hotjar
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

LangChain's ecosystem of 500+ components combines seamlessly with Hotjar through native MCP adapters. Connect 15 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain

When LangChain 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.

check_hotjar_status

Verify connectivity

get_feedback_widget

Get feedback widget details

get_heatmap

Get heatmap details

get_recording

Get recording details

get_survey

Get survey details

get_survey_stats

Get survey statistics

list_feedback

List feedback widgets

list_feedback_responses

List feedback responses

list_funnels

List funnels

list_heatmaps

List heatmaps

list_recordings

List recordings

list_sites

List tracked sites

list_survey_responses

List survey responses

list_surveys

List surveys

lookup_user

Lookup user

Connect Hotjar to LangChain via MCP

Follow these steps to wire Hotjar into LangChain. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save the code and run python agent.py
04

Explore tools

The agent discovers 15 tools from Hotjar via MCP

Why Use LangChain with the Hotjar MCP Server

LangChain provides unique advantages when paired with Hotjar through the Model Context Protocol.

01

The largest ecosystem of integrations, chains, and agents. combine Hotjar MCP tools with 500+ LangChain components

02

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

03

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

04

Memory and conversation persistence let agents maintain context across Hotjar queries for multi-turn workflows

Hotjar + LangChain Use Cases

Practical scenarios where LangChain combined with the Hotjar MCP Server delivers measurable value.

01

RAG with live data: combine Hotjar tool results with vector store retrievals for answers grounded in both real-time and historical data

02

Autonomous research agents: LangChain agents query Hotjar, synthesize findings, and generate comprehensive research reports

03

Multi-tool orchestration: chain Hotjar tools with web scrapers, databases, and calculators in a single agent run

04

Production monitoring: use LangSmith to trace every Hotjar tool call, measure latency, and optimize your agent's performance

Example Prompts for Hotjar in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Hotjar immediately.

01

"Show the NPS survey results and the top feedback submissions this month."

02

"Show the heatmap data for our pricing page and the conversion funnel from landing to signup."

03

"Look up user behavior for user ID 'usr_12345' and show their session recordings."

Troubleshooting Hotjar MCP Server with LangChain

Common issues when connecting Hotjar to LangChain through the Vinkius, and how to resolve them.

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Hotjar + LangChain FAQ

Common questions about integrating Hotjar MCP Server with LangChain.

01

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
02

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
03

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.