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Hotjar MCP Server for Pydantic AIGive Pydantic AI instant access to 15 tools to Check Hotjar Status, Get Feedback Widget, Get Heatmap, and more

Built by Vinkius GDPR 15 Tools SDK

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

Ask AI about this App Connector for Pydantic AI

The Hotjar app connector for Pydantic AI 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

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 "
            "(15 tools)."
        ),
    )

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

asyncio.run(main())
Hotjar
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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 MCP Server

Connect your Hotjar account to any AI agent and access user experience analytics through natural conversation.

Pydantic AI validates every Hotjar tool response against typed schemas, catching data inconsistencies at build time. Connect 15 tools through 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

  • 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 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.

All 15 Hotjar tools available for Pydantic AI

When Pydantic AI 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.

check_hotjar_status

Verify connectivity

get_feedback_widget

Get feedback widget details

get_heatmap

Get heatmap details

get_recording

Get recording details

get_survey

Get survey details

get_survey_stats

Get survey statistics

list_feedback

List feedback widgets

list_feedback_responses

List feedback responses

list_funnels

List funnels

list_heatmaps

List heatmaps

list_recordings

List recordings

list_sites

List tracked sites

list_survey_responses

List survey responses

list_surveys

List surveys

lookup_user

Lookup user

Connect Hotjar to Pydantic AI via MCP

Follow these steps to wire Hotjar into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install Pydantic AI

Run pip install pydantic-ai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.py and run: python agent.py
04

Explore tools

The agent discovers 15 tools from Hotjar with type-safe schemas

Why Use Pydantic AI with the Hotjar MCP Server

Pydantic AI provides unique advantages when paired with Hotjar through the Model Context Protocol.

01

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

02

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Hotjar integration code

03

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

04

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

Hotjar + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Hotjar MCP Server delivers measurable value.

01

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

02

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

03

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

04

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

Example Prompts for Hotjar in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Hotjar immediately.

01

"Show the NPS survey results and the top feedback submissions this month."

02

"Show the heatmap data for our pricing page and the conversion funnel from landing to signup."

03

"Look up user behavior for user ID 'usr_12345' and show their session recordings."

Troubleshooting Hotjar MCP Server with Pydantic AI

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

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Hotjar + Pydantic AI FAQ

Common questions about integrating Hotjar MCP Server with Pydantic AI.

01

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.
02

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.
03

Can I switch LLM providers without changing MCP code?

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