Score Leads by Site Behavior Using MCP Servers.
Heatmaps analyzed, CRM contacts scored, behavioral insights logged , your website visitors reveal what surveys never capture
Works with every AI agent you already use
…and any MCP-compatible client
Waiting for input…
Gemini How It Works
Your AI agent pulls behavioral data from Hotjar , which pages have the most engagement, where users drop off, what feedback they leave, and which survey responses signal buying intent.
It reads heatmap data to identify high-interaction zones and dead zones on your key pages (pricing, product, demo request). Then it checks HubSpot for contacts who visited those pages.
A contact who viewed the pricing page 3 times, completed the 'What's your team size?' survey with '50+', and left feedback saying 'need SSO' is a different lead than someone who bounced after 8 seconds.
The agent logs all of this to Google Sheets: contact name, pages visited, survey responses, feedback text, time on page, and a calculated behavioral score.
Your sales team gets leads ranked by what people actually did , not just what form they filled out.
MCP Server Orchestration: 3 MCP Servers, one intelligent agent
Connect Hotjar, HubSpot and Google Sheets MCP servers so your AI agent reads behavioral data from your website , heatmaps, session recordings, survey responses , and correlates it with CRM contact records. Visitors who rage-click your pricing page get flagged differently from those who read every case study. Behavioral scoring that marketing teams dream about, built without a data analyst.
Hotjar
triggerReads heatmaps, recordings, surveys and feedback data
list_recordings list_heatmaps list_surveys list_survey_responses list_feedback Hubspot
actionUpdates contacts with behavioral scores and engagement tags
search_contacts get_contact_details list_contacts list_deals Google Sheets
actionLogs the behavioral scoring matrix with page-level insights
append_sheet_values update_sheet_values get_spreadsheet create_spreadsheet Run This Automation Today
Connect Claude, ChatGPT, Cursor, or any AI agent to the Vinkius catalog and run this automation in minutes.
Build Your Own MCP
Turn any internal API into an MCP server. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
- Create Agent Skills with progressive disclosure
- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on every call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Connect & Automate
The 3 servers this recipe uses are ready in the catalog. Connect them once, paste a prompt, and your AI runs the full workflow.
- Hotjar, Hubspot & Google Sheets ready in the catalog right now
- Add more from 4,700+ servers whenever you need
- Every connection is secured and compliant automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers and recipes added every week
Superpowers you didn't know your AI had
The Vinkius catalog gives your agent access to 4,700+ MCP servers and the intelligence to combine them. Imagine never logging into another dashboard. Your AI handles the work across every tool, in one conversation. That's what this infrastructure was built for.
Cross-Platform Intelligence
Your agent doesn't just connect to tools. It understands the relationships between them. Data flows where it needs to go, automatically, with full context preserved across every platform.
Contextual Reasoning
Every decision your agent makes considers the full picture. It reads CRM data, checks calendars, reviews conversation history, and acts on everything at once. Not step by step. All at once.
Productivity at Scale
What used to take 45 minutes across five different dashboards now takes one sentence. Your agent runs the entire workflow end to end while you focus on decisions that actually matter.
Zero-Config Reliability
No API keys to paste. No webhooks to configure. No YAML to debug. Connect your MCP servers once, and your agent handles the rest. Every time, without intervention.
Made for
exactly this
Your AI agent taps into the entire Vinkius MCP catalog to handle these for you. You describe what you need. It does the rest.
Marketing teams running Hotjar on a SaaS website who want behavioral signals feeding into HubSpot lead scores
Product managers using Hotjar surveys and feedback to understand why visitors leave the pricing page without converting
Sales teams that want to know which CRM contacts are actively researching the product based on behavioral data, not just form fills
Growth teams building a behavioral scoring model without a dedicated data analyst or BI tool
Frequently Asked Questions About This MCP Server Orchestration
Which MCP servers do I need for this workflow?
Three: Hotjar, HubSpot and Google Sheets. Connect all three to your AI client before running any prompt from this page.
Does this work with Claude Desktop, Cursor or Windsurf?
Yes. Any AI client that supports the Model Context Protocol works , Claude Desktop, Cursor, Windsurf, Cline and others. Connect the MCP servers and paste a prompt.
How does the agent match Hotjar visitors to HubSpot contacts?
By email address when available (from Hotjar surveys) and by cross-referencing page visit patterns. Contacts who filled out a survey with their email get matched directly. Anonymous visitors remain in the Hotjar dataset without CRM linkage.
Can I customize the scoring weights?
Define your own scoring in the prompt: 'Pricing page = 5 points, case study = 3, blog = 1, survey response with 50+ team = 10 bonus points.' The agent applies whatever formula you set.
Is my behavioral and CRM data secure?
MCP servers authenticate through API keys or OAuth. Your agent only sees Hotjar sites, HubSpot contacts and Google Sheets you have granted access to. Vinkius does not store your data.
Does this replace a proper analytics tool?
No. It bridges the gap between analytics (Hotjar) and sales (HubSpot). The agent reads behavioral signals and makes them actionable for your CRM , something neither tool does well on its own.
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MCP servers used in this workflow
Hotjar
Hotjar MCP Server gives your AI agent full access to user experience analytics. You get heatmaps, session recordings, and detailed feedback surveys, letting you see exactly where visitors get stuck or why they leave your site. Run full conversion funnel analyses and look up specific user behavior by ID, all through natural conversation.
HubSpot
HubSpot MCP Server connects your AI client to your entire CRM. Manage contacts, deals, and company data conversationally. You can list contacts, find deal pipelines, create new records, and link objects without opening the HubSpot dashboard. It turns complex CRM operations into simple chat commands.
Google Sheets
Google Sheets MCP Server lets your AI client read, write, and manage data directly in Google Sheets. Use conversational commands to pull data from specific ranges, append new rows, or structure entire spreadsheets. It acts as an analyst, letting you manipulate complex data without opening the GUI or writing formulas.