Hotjar MCP Server for LangChainGive LangChain instant access to 15 tools to Check Hotjar Status, Get Feedback Widget, Get Heatmap, and more
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
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())
* 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.
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 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.
Install dependencies
pip install langchain langchain-mcp-adapters langgraph langchain-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
python agent.pyExplore tools
Why Use LangChain with the Hotjar MCP Server
LangChain provides unique advantages when paired with Hotjar through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Hotjar MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
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.
RAG with live data: combine Hotjar tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Hotjar, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Hotjar tools with web scrapers, databases, and calculators in a single agent run
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.
"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 LangChain
Common issues when connecting Hotjar to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersHotjar + LangChain FAQ
Common questions about integrating Hotjar MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.