Turn WhatsApp Chats Into CRM Data via MCP.
Chat conversations captured, customer profiles built, follow-up sent on WhatsApp , your live chat becomes a sales machine
Works with every AI agent you already use
…and any MCP-compatible client
Waiting for input…
Gemini How It Works
Your AI agent reads recent Crisp conversations , the visitor's name, email, what they asked about, what page they were on, and how the chat ended.
For each conversation, it checks Airtable for an existing customer record. New visitors get a record created with their name, email, inquiry topic, and the date of first contact.
Returning visitors get their record updated with the latest conversation. The agent categorizes each chat: 'pricing inquiry,' 'support issue,' 'product question,' 'feature request.' Then it sends a WhatsApp follow-up tailored to the category.
A pricing inquiry gets: 'Hi Maria , thanks for chatting about our plans. Here is the comparison you asked about.
Let me know if you have questions.' A support issue gets: 'Hi Carlos , just checking in. Did the fix we discussed solve the problem?' Every chat becomes a relationship, not a forgotten browser tab.
MCP Server Orchestration: 3 MCP Servers, one intelligent agent
Connect Crisp, Airtable and WhatsApp MCP servers so your AI agent reads live chat conversations, creates or updates customer records in Airtable, and sends personalized follow-up messages via WhatsApp. Small business owners who answer live chats all day finally have a system that remembers every conversation and follows up without manual effort.
Crisp
triggerReads live chat conversations, visitor profiles and messages
list_conversations get_messages get_visitor_profile list_visitors Airtable
actionCreates and updates customer records with conversation history
create_records list_records update_records get_record WhatsApp Whatsapp
actionSends follow-up messages after chat conversations
send_whatsapp_text send_whatsapp_template 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.
- Crisp, Airtable & WhatsApp Whatsapp 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.
Small business owners using Crisp live chat who forget to follow up with website visitors after the conversation ends
Service providers , therapists, tutors, consultants , who get inquiries via chat and need to track each prospect in a simple CRM
E-commerce shops using Crisp where every pre-purchase question should be logged and followed up on via WhatsApp
Solopreneurs who answer live chats on their phone and need the conversation data saved somewhere searchable
Frequently Asked Questions About This MCP Server Orchestration
Which MCP servers do I need for this workflow?
Three: Crisp, Airtable and WhatsApp (WSLA). 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.
What if the visitor doesn't leave an email or phone number?
Anonymous visitors are reported in the summary but skipped for Airtable records and WhatsApp follow-ups. You can still review their questions and identify patterns from anonymous chats.
Can I customize the WhatsApp message per conversation type?
Define your own templates in the prompt: 'For pricing inquiries, send X. For support issues, send Y. For feature requests, send Z.' The agent follows your rules.
Is my chat and customer data secure?
MCP servers authenticate through API keys or OAuth. Your agent only sees Crisp conversations, Airtable bases and WhatsApp contacts you have granted access to. Vinkius does not store your data.
Does this replace a CRM like HubSpot or Salesforce?
For small businesses with under 1,000 contacts, Airtable works as a lightweight CRM , flexible, visual and free. If you outgrow it, the same workflow pattern applies with a dedicated CRM MCP server.
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MCP servers used in this workflow
Crisp
Crisp MCP Server gives your agent full control over multi-channel support. It lets your AI client list all open chats, retrieve detailed message histories, and pull visitor profiles from Crisp. You can send messages directly into active conversations or track real-time website traffic metrics—all without leaving your primary workspace. Stop manually switching between chat widgets and CRMs.
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.
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.