How to Use the Hotjar (Behavior Analytics) MCP in CrewAI

Q: How do I configure the Hotjar (Behavior Analytics) MCP server for CrewAI?

The simple way is to pass the MCP server URL in the mcps list when you define an Agent. For more control, use MCPServerHTTP from crewai.mcp and a toolfilter to restrict which Hotjar tools each agent in your crew can access.

Q: How does CrewAI handle sensitive Hotjar (Behavior Analytics) data?

You have granular control. By using toolfilter, you can ensure only a specific 'Compliance' agent can access tools like listsurveyresponses that might contain PII. All data transport is handled by the Vinkius zero-trust environment, which isolates each request and your credentials.

Deploy a CrewAI team to monitor and analyze Hotjar data. Assign agents to watch recordings, analyze feedback, and report insights.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Hotjar (Behavior Analytics) MCP to CrewAI

Create your Vinkius account to connect Hotjar (Behavior Analytics) to CrewAI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Hotjar (Behavior Analytics) with CrewAI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Assemble a UX Research Crew

This is the classic CrewAI pattern, applied to UX. Create a 'Researcher' agent that uses `list_recordings` and `list_heatmaps` to find user friction points. It passes a list of suspicious session IDs to a specialized 'Analyst' agent. The Analyst agent takes that list and digs deeper. It uses `get_survey` and `list_survey_responses` to add qualitative context, synthesizing a report on why users are struggling. A final 'Reporter' agent can then format the findings and post them to a Slack channel. Each agent has one job and does it well.

Autonomous Site Monitoring Team

Set up a crew for 24/7 monitoring. A 'Guardian' agent's only job is to run `list_funnels` every 15 minutes. If it detects a conversion drop-off, it delegates a new task to a 'Diagnostician' agent. Once activated, the Diagnostician agent gets to work. It uses `get_heatmap` on the problematic page and pulls recent user comments with `list_feedback` to find the root cause. This is an autonomous system for finding and diagnosing UX issues, powered by this MCP server.

Role-Based Data Access for Agents

With CrewAI, you can enforce a clear separation of duties. You might create a 'Privacy Officer' agent that is the only one in the crew allowed to access potentially sensitive data from `list_recordings` or `list_survey_responses`. At the same time, a 'Metrics Analyst' agent on the same team might only have access to anonymized, aggregate data from `list_funnels` and `list_heatmaps`. You use CrewAI's `tool_filter` with the MCP server to ensure each agent only sees the data it's supposed to.

Setup guide

Set up Hotjar (Behavior Analytics) MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Hotjar (Behavior Analytics) tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Hotjar (Behavior Analytics) Analyst",
    goal="Access and analyze Hotjar (Behavior Analytics) data via MCP.",
    backstory="Expert analyst with direct Hotjar (Behavior Analytics) access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Hotjar (Behavior Analytics) transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="Hotjar (Behavior Analytics) Analyst",
        goal="Access and analyze Hotjar (Behavior Analytics) data via MCP.",
        backstory="Expert analyst with direct Hotjar (Behavior Analytics) access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Hotjar (Behavior Analytics) transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Hotjar. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Hotjar (Behavior Analytics) now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Hotjar (Behavior Analytics) MCP in CrewAI

You assign different tools to different agents based on their roles. For instance, a 'Researcher' agent can use `list_recordings` to watch sessions, while an 'Analyst' agent uses `list_funnels` to monitor conversion, and they collaborate to generate a complete report.

Exactly. That's the point of CrewAI. A monitoring agent can watch `list_funnels` and, upon finding an issue, delegate the investigation to a specialist agent that uses `get_heatmap` and `list_feedback` to dig in.

The simple way is to pass the MCP server URL in the `mcps` list when you define an Agent. For more control, use `MCPServerHTTP` from `crewai.mcp` and a `tool_filter` to restrict which Hotjar tools each agent in your crew can access.

No. CrewAI is for building autonomous teams of agents. You use this setup to create a crew that continuously monitors your Hotjar user experience data, diagnoses problems, and reports insights without needing a human operator.

You have granular control. By using `tool_filter`, you can ensure only a specific 'Compliance' agent can access tools like `list_survey_responses` that might contain PII. All data transport is handled by the Vinkius zero-trust environment, which isolates each request and your credentials.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript