Hotjar MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 15 tools to Check Hotjar Status, Get Feedback Widget, Get Heatmap, and more
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Hotjar through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
Ask AI about this App Connector for OpenAI Agents SDK
The Hotjar app connector for OpenAI Agents 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 asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Hotjar Assistant",
instructions=(
"You help users interact with Hotjar. "
"You have access to 15 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Hotjar"
)
print(result.final_output)
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.
The OpenAI Agents SDK auto-discovers all 15 tools from Hotjar through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Hotjar, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
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 OpenAI Agents 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 OpenAI Agents SDK
When OpenAI Agents 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 OpenAI Agents SDK via MCP
Follow these steps to wire Hotjar into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install the SDK
pip install openai-agents in your Python environmentReplace the token
[YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.comRun the script
python agent.pyExplore tools
Why Use OpenAI Agents SDK with the Hotjar MCP Server
OpenAI Agents SDK provides unique advantages when paired with Hotjar through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Hotjar + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Hotjar MCP Server delivers measurable value.
Automated workflows: build agents that query Hotjar, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Hotjar, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Hotjar tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Hotjar to resolve tickets, look up records, and update statuses without human intervention
Example Prompts for Hotjar in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents 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 OpenAI Agents SDK
Common issues when connecting Hotjar to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Hotjar + OpenAI Agents SDK FAQ
Common questions about integrating Hotjar MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.