Hotjar (Behavior Analytics) MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Hotjar (Behavior Analytics) as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Hotjar (Behavior Analytics). "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Hotjar (Behavior Analytics)?"
)
print(response)
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.
LlamaIndex agents combine Hotjar (Behavior Analytics) tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the Hotjar (Behavior Analytics) MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
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)
Why Use LlamaIndex with the Hotjar (Behavior Analytics) MCP Server
LlamaIndex provides unique advantages when paired with Hotjar (Behavior Analytics) through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Hotjar (Behavior Analytics) tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Hotjar (Behavior Analytics) tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Hotjar (Behavior Analytics), a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Hotjar (Behavior Analytics) tools were called, what data was returned, and how it influenced the final answer
Hotjar (Behavior Analytics) + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Hotjar (Behavior Analytics) MCP Server delivers measurable value.
Hybrid search: combine Hotjar (Behavior Analytics) real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Hotjar (Behavior Analytics) to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Hotjar (Behavior Analytics) for fresh data
Analytical workflows: chain Hotjar (Behavior Analytics) queries with LlamaIndex's data connectors to build multi-source analytical reports
Hotjar (Behavior Analytics) MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Hotjar (Behavior Analytics) to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting Hotjar (Behavior Analytics) to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpHotjar (Behavior Analytics) + LlamaIndex FAQ
Common questions about integrating Hotjar (Behavior Analytics) MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
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 LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.