Hotjar (Behavior Analytics) MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Hotjar (Behavior Analytics) through the Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails — no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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 (Behavior Analytics) Assistant",
instructions=(
"You help users interact with Hotjar (Behavior Analytics). "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Hotjar (Behavior Analytics)"
)
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 (Behavior Analytics) MCP Server
Connect your Hotjar account to any AI agent and take full control of your behavior analytics and user feedback through natural conversation.
The OpenAI Agents SDK auto-discovers all 10 tools from Hotjar (Behavior Analytics) through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries Hotjar (Behavior Analytics), another analyzes results, and a third generates reports, all orchestrated through the Vinkius.
What you can do
- Site Management — List all registered sites and extract high-level details including tracking status and plan information directly from your agent
- Survey Analysis — Retrieve individual responses from active surveys, including detailed answers, timestamps, and device metadata to understand user sentiment
- Feedback Monitoring — Enumerate feedback widgets and pull discrete ratings, comments, and screenshots to identify friction points in your user journey
- GDPR Compliance — Look up specific user profiles and session counts, and execute right-to-erasure requests to delete user data securely
- Organization Audit — Navigate across different Hotjar organizations and retrieve site lists and member counts to manage multi-tenant environments efficiently
The Hotjar (Behavior Analytics) MCP Server exposes 10 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.
How to Connect Hotjar (Behavior Analytics) to OpenAI Agents SDK via MCP
Follow these steps to integrate the Hotjar (Behavior Analytics) MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 10 tools from Hotjar (Behavior Analytics)
Why Use OpenAI Agents SDK with the Hotjar (Behavior Analytics) MCP Server
OpenAI Agents SDK provides unique advantages when paired with Hotjar (Behavior Analytics) 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 (Behavior Analytics) + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Hotjar (Behavior Analytics) MCP Server delivers measurable value.
Automated workflows: build agents that query Hotjar (Behavior Analytics), process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents — one queries Hotjar (Behavior Analytics), another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Hotjar (Behavior Analytics) tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Hotjar (Behavior Analytics) to resolve tickets, look up records, and update statuses without human intervention
Hotjar (Behavior Analytics) MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Hotjar (Behavior Analytics) to OpenAI Agents SDK via MCP:
get_heatmap
Get heatmap details
get_site
Get current site details
get_survey
Get survey details
list_feedback
List incoming feedback
list_funnels
List conversion funnels
list_heatmaps
List all heatmaps
list_recordings
List session recordings
list_sites
List all tracked sites
list_survey_responses
List survey responses
list_surveys
List all surveys
Example Prompts for Hotjar (Behavior Analytics) in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Hotjar (Behavior Analytics) immediately.
"List all surveys for our main marketing site"
"Show me the last 5 responses for survey ID 123"
"How many responses has our 'NPS Widget' received so far?"
Troubleshooting Hotjar (Behavior Analytics) MCP Server with OpenAI Agents SDK
Common issues when connecting Hotjar (Behavior Analytics) to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Hotjar (Behavior Analytics) + OpenAI Agents SDK FAQ
Common questions about integrating Hotjar (Behavior Analytics) 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.Does the SDK support streaming responses?
Connect Hotjar (Behavior Analytics) with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Hotjar (Behavior Analytics) to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.