Can I see individual survey responses through my agent?

Yes. Use the `get_survey_responses` tool with a specific Survey ID to retrieve all recorded answers, timestamps, and device info. This allows your agent to summarize user sentiment and identify common themes automatically.

How do I handle GDPR data deletion requests?

The agent includes a `delete_user_data` tool for GDPR compliance. You can provide a User ID to irreversibly wipe all associated behavioral data from Hotjar, ensuring you meet privacy regulations efficiently.

Can I list all feedback widgets for a specific site?

Absolutely. Use the `list_feedback` tool to enumerate all active feedback widgets on your configured site. Your agent will return widget IDs and response counts, helping you identify which areas of your site are generating the most user input.

Hotjar (Behavior Analytics) MCP Server for CrewAI 10 tools — connect in under 2 minutes

Name: Hotjar (Behavior Analytics)
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 10 Tools Framework

Connect your CrewAI agents to Hotjar (Behavior Analytics) through Vinkius, pass the Edge URL in the `mcps` parameter and every Hotjar (Behavior Analytics) tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

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python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Hotjar (Behavior Analytics) Specialist",
    goal="Help users interact with Hotjar (Behavior Analytics) effectively",
    backstory=(
        "You are an expert at leveraging Hotjar (Behavior Analytics) tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Hotjar (Behavior Analytics) "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 10 available tools "
        "and what they can do."
    ),
)

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

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* 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.

When paired with CrewAI, Hotjar (Behavior Analytics) becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Hotjar (Behavior Analytics) tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI via MCP

Follow these steps to integrate the Hotjar (Behavior Analytics) MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 10 tools from Hotjar (Behavior Analytics)

Why Use CrewAI with the Hotjar (Behavior Analytics) MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Hotjar (Behavior Analytics) through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Hotjar (Behavior Analytics) + CrewAI Use Cases

Practical scenarios where CrewAI combined with the Hotjar (Behavior Analytics) MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries Hotjar (Behavior Analytics) for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Hotjar (Behavior Analytics), analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Hotjar (Behavior Analytics) tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Hotjar (Behavior Analytics) against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Hotjar (Behavior Analytics) MCP Tools for CrewAI (10)

These 10 tools become available when you connect Hotjar (Behavior Analytics) to CrewAI 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 CrewAI

Ready-to-use prompts you can give your CrewAI 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 CrewAI

Common issues when connecting Hotjar (Behavior Analytics) to CrewAI through the Vinkius, and how to resolve them.

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Hotjar (Behavior Analytics) + CrewAI FAQ

Common questions about integrating Hotjar (Behavior Analytics) MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.