MCP Recipe for Email Campaign Attribution.
Your email campaign got a 24% open rate and 3.8% click rate , which tells the client nothing about how many people actually visited the site, filled out a form, or became a paying customer from that email
Works with every AI agent you already use
…and any MCP-compatible client
Waiting for input…
Gemini How It Works
Your AI agent pulls campaign data from Mailchimp , send date, subject line, audience segment, open rate, click rate, and top-clicked links.
Then it queries Google Analytics: how many website sessions came from email traffic for that campaign period? Which landing pages did email visitors hit? What was their conversion rate? Finally, it queries HubSpot: did any of those email contacts become leads or deals? The agent builds the full funnel: 'Product Launch Email (June 1) , Mailchimp: 4,200 sent, 24% open rate, 3.8% click rate (160 clicks).
GA: 142 sessions from email, 68% landed on /product-launch page, 4.9% conversion rate (7 form fills). HubSpot: 5 of 7 form fills created as contacts, 2 became qualified leads, 1 deal opened ($18,000 pipeline).
Email-to-pipeline conversion: 0.43%. Revenue potential: $18,000 from one email.' That is email marketing ROI the CFO can understand.
Connector Orchestration: 3 Connectors, one intelligent agent
Connect Mailchimp, Google Analytics and HubSpot Connectors so your AI agent pulls email campaign metrics from Mailchimp, tracks website behavior of email recipients in Google Analytics, and follows them through the sales funnel in HubSpot , building full-funnel attribution from email send to closed deal. Agencies running email campaigns for clients who report on open rates and click rates but cannot prove email-to-revenue attribution , where the client asks 'how much revenue did our email marketing generate?' and the agency says 'well, the open rate was above industry average' , get the answer in dollars.
Mailchimp
triggerReads campaign performance , opens, clicks, bounces, unsubscribes , and audience segment data
list_campaigns get_campaign get_report list_audiences Google Analytics
enrichmentTracks email-sourced sessions, landing page behavior, conversion events and engagement depth
run_report list_properties get_metadata run_realtime_report Hubspot
enrichmentFollows email contacts through the sales pipeline , lead creation, deal progression and revenue attribution
search_contacts list_deals get_deal_details list_contacts 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 Connector
Convert any internal API into a Connector. 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 each 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, Google Analytics & Hubspot ready in the catalog right now
- Add more from 5,800+ servers whenever you need
- Connections are secured and compliant by default
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers and recipes added weekly
Superpowers you didn't know your AI had
The Vinkius catalog gives your agent access to 5,800+ Connectors and the intelligence to combine them. Imagine never logging into another dashboard. Your AI handles the work across all tools, in one conversation. That's what this connectivity layer 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 all platforms.
Contextual Reasoning
Each 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 Connectors once, and your agent handles the rest. Each time, without intervention.
Made for
exactly this
Your AI agent taps into the entire Vinkius AI Connectors to handle these for you. You describe what you need. It does the rest.
Email marketing agencies proving campaign ROI to clients by connecting open rates to actual revenue generated
Agency account managers who need to answer 'how much money did our email marketing generate this quarter?'
Marketing strategists running A/B tests who want to measure test winners by conversions, not opens
Agency owners tracking email marketing ROI across all client accounts to identify underperforming programs
Frequently Asked Questions About This Connector Orchestration
Which Connectors do I need for this workflow?
Three: Mailchimp, Google Analytics and HubSpot. 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 supporting the Model Context Protocol works , Claude Desktop, Cursor, Windsurf, Cline and others.
How does the agent match email recipients to GA visitors?
The agent correlates Mailchimp campaign timing and click-through URLs with GA email referral traffic. UTM-tagged links in Mailchimp provide the most accurate matching.
Is my data secure?
Connectors authenticate through API keys. Mailchimp, GA and HubSpot data stays in your accounts. Vinkius does not store your email lists or campaign data.
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Product sold, buyer added to email sequence, revenue dashboard updated , your creator business runs itself
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Connectors used in this workflow
Mailchimp
Mailchimp MCP lets you manage your email marketing audiences, campaign stats, and subscriber data directly through your AI client. You can handle list synchronization, update member tags, and track performance metrics without leaving your chat interface. It handles the heavy lifting of marketing data so you can stay focused on your content.
Google Analytics
Google Analytics MCP lets you query GA4 data through natural conversation. Run custom reports, check realtime traffic, analyze conversion funnels, and manage audience exports directly from your AI agent. It removes the friction of navigating the dashboard and turns complex data into clear answers.
HubSpot
HubSpot MCP connects your CRM to your AI agent, letting you manage contacts, companies, and deals without leaving your chat window. It handles everything from listing users and pipelines to searching for specific leads and linking records together. It's built for teams who want to stop tab-switching and start getting work done through simple commands.