Track Post-Email User Behavior Using MCP.
Your campaign had a 42% open rate but zero conversions , because everyone clicked, landed on the page, and bounced at the pricing section you never tested
Works with every AI agent you already use
…and any MCP-compatible client
Waiting for input…
Gemini How It Works
Your AI agent queries Mailchimp for campaign data , which emails were sent, open rates, click rates, which links were clicked most.
Then it queries Hotjar for the corresponding landing page behavior , what does the heatmap show? Where do visitors scroll to? Which sections get attention? Where do they rage-click? What does the funnel look like from landing to conversion? The agent correlates: 'Campaign: Product Launch , 42% open rate, 18% click rate.
Landing page: 73% scrolled past the hero. 31% reached pricing. 4% clicked CTA. Hotjar heatmap shows heavy click concentration on the comparison table but the table links are not clickable.
12 rage-clicks on the pricing toggle.' The agent writes to Google Sheets: campaign name, email metrics, landing page scroll depth, engagement zones, friction points, conversion rate, and specific recommendations.
Not 'improve the landing page' , but 'make the comparison table rows clickable and fix the pricing toggle that is confusing users.'
MCP Server Orchestration: 3 MCP Servers, one intelligent agent
Connect Mailchimp, Hotjar and Google Sheets MCP servers so your AI agent reads campaign performance from Mailchimp, correlates it with on-site user behavior from Hotjar, and builds a full-funnel intelligence dashboard in Google Sheets. Marketing teams who measure campaign success by open rates and click rates but have no idea what happens after the click get the complete picture , from inbox to conversion or abandonment.
Mailchimp
triggerReads campaign performance , opens, clicks, bounces and subscriber engagement
list_campaigns get_report list_members get_audience Hotjar
enrichmentPulls on-site behavior , heatmaps, recordings, surveys and funnel drop-offs
list_heatmaps list_recordings list_surveys list_funnels Google Sheets
actionBuilds the full-funnel dashboard correlating email engagement with site behavior
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.
- Mailchimp, Hotjar & 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 who track email metrics but have no visibility into what happens on the landing page after the click
Growth marketers optimizing conversion funnels who need behavioral data correlated with campaign performance
Content marketers running newsletter-to-product campaigns who need to understand the full journey from inbox to signup
CMOs building weekly marketing reports who want one dashboard showing email performance and on-site behavior together
Frequently Asked Questions About This MCP Server Orchestration
Which MCP servers do I need for this workflow?
Three: Mailchimp, Hotjar 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.
Can I use ActiveCampaign instead of Mailchimp?
Yes. Swap the Mailchimp MCP for the ActiveCampaign MCP on Vinkius. Campaign performance data follows the same structure , the behavioral correlation logic works identically.
Is my marketing data secure?
MCP servers authenticate through API keys. Mailchimp and Hotjar data stays in your accounts. The Google Sheet is in your Drive. Vinkius does not store your campaign or behavioral data.
MCP Recipe for Email Campaign Attribution
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MCP servers used in this workflow
Mailchimp
Mailchimp MCP Server gives your AI client direct control over complex marketing operations. Use it to sync contacts across lists, manage audience segments, and run full campaign lifecycle actions—all without opening a web browser or copying IDs. You can list all audiences, add members with specific statuses, create drafts, track performance reports, and trigger live sends autonomously.
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.
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.