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 Pydantic AI 10 tools — connect in under 2 minutes

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

ai.pydantic.dev/mcp

Built by Vinkius GDPR 10 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Hotjar (Behavior Analytics) through the Vinkius and every tool is automatically validated against Pydantic schemas — catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Hotjar (Behavior Analytics) "
            "(10 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Hotjar (Behavior Analytics)?"
    )
    print(result.data)

asyncio.run(main())

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

Pydantic AI validates every Hotjar (Behavior Analytics) tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through the Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code — full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic AI 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 Pydantic AI via MCP

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

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 10 tools from Hotjar (Behavior Analytics) with type-safe schemas

Why Use Pydantic AI with the Hotjar (Behavior Analytics) MCP Server

Pydantic AI provides unique advantages when paired with Hotjar (Behavior Analytics) through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture — switch between OpenAI, Anthropic, or Gemini without changing your Hotjar (Behavior Analytics) integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Hotjar (Behavior Analytics) connection logic from agent behavior for testable, maintainable code

Hotjar (Behavior Analytics) + Pydantic AI Use Cases

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

Type-safe data pipelines: query Hotjar (Behavior Analytics) with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Hotjar (Behavior Analytics) tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Hotjar (Behavior Analytics) and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Hotjar (Behavior Analytics) responses and write comprehensive agent tests

Hotjar (Behavior Analytics) MCP Tools for Pydantic AI (10)

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

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Hotjar (Behavior Analytics) + Pydantic AI FAQ

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

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer — your Hotjar (Behavior Analytics) MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.