MCP Recipe for Selling Courses via WhatsApp.
New course sale happens, WhatsApp welcome fires, student lands in your CRM , zero manual onboarding
Works with every AI agent you already use
…and any MCP-compatible client
Waiting for input…
How It Works
Your AI agent checks Kajabi for recent purchases , who bought what, when, and for how much. For each new buyer, it pulls the course name, the customer's name and contact info, and any existing tags on their profile.
Then it sends a WhatsApp message: a welcome with the course name, a quick-start link, and a personal note based on which product they purchased.
Simultaneously, it checks Airtable for an existing record. If the student is new, it creates a full CRM row , name, email, phone, course purchased, purchase date, amount, tags.
If they already exist (returning buyer), it updates the record with the new course and purchase timestamp. Course creators get a clean student CRM and every buyer gets a WhatsApp welcome within minutes of payment.
MCP Server Orchestration: 3 MCP Servers, one intelligent agent
Connect Kajabi, WhatsApp and Airtable MCP servers so your AI agent monitors new course purchases, sends a personalized WhatsApp welcome message to each student, and logs every buyer in an Airtable CRM with purchase details, tags and enrollment status. Your course onboarding runs on autopilot.
Kajabi
triggerReads new purchases, course details and customer tags
list_purchases list_customers get_contact_details get_course_details list_tags WhatsApp Whatsapp
actionSends personalized welcome messages to new students
send_whatsapp_text send_whatsapp_template list_whatsapp_templates Airtable
actionLogs every student with purchase data and enrollment status
create_records list_records list_tables get_record 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.
- Kajabi, WhatsApp Whatsapp & Airtable 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.
Course creators on Kajabi who sell 50+ courses per month and can't personally welcome every student
Online educators who want WhatsApp as their primary student communication channel instead of email
Digital product businesses tracking customer lifetime value across multiple Kajabi courses
Coaches and consultants who need a student CRM without paying for a separate platform
Frequently Asked Questions About This MCP Server Orchestration
Which MCP servers do I need for this workflow?
Three: Kajabi, WhatsApp (WSLA) and Airtable. 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 customize the WhatsApp message per course?
Your prompt controls the message content. Specify different templates for each course , or tell the agent to include a specific link, tip or CTA based on the product purchased. It reads the course name from Kajabi and adjusts the message.
What if a student doesn't have a WhatsApp number?
The agent checks the contact details from Kajabi. If no phone number is available, it skips the WhatsApp message and notes the gap in the Airtable record so you can follow up via email instead.
Is my student and payment data secure?
MCP servers authenticate through API keys or OAuth. Your agent only sees Kajabi customers, WhatsApp contacts and Airtable bases you have granted access to. Vinkius does not store your data.
Does this handle refunds or cancelled purchases?
The agent reads purchase status from Kajabi. If you ask it to check for refunds, it will flag or update the Airtable record accordingly. Add 'exclude refunded purchases' to your prompt to filter them out automatically.
Book Appointments via WhatsApp Using MCP
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MCP servers used in this workflow
Kajabi
Kajabi MCP Server connects your AI client directly to your entire digital product backend. You can run operations on course enrollment, customer profiles, and sales data without ever touching the Kajabi dashboard. Your agent instantly lists contacts, audits product offers, or retrieves detailed purchase history based only on natural conversation.
WSLA (WhatsApp)
WSLA (WhatsApp) MCP Server connects your AI agent directly to WhatsApp Business Platform via Meta Cloud API. It lets you send simple text messages, deploy pre-approved template notifications, and react to incoming customer chats—all through natural conversation with your AI client.
Airtable
Airtable connects your structured data bases to your AI agent. Use it to query records, read schemas, update spreadsheets, and build automated workflows directly through chat. You can list bases, query specific records, or bulk-add data without leaving your chat client.