Score Customer Health Using MCP Servers.
Support says the customer is happy, Sales says the deal is solid, but nobody checked that they opened 14 tickets last month and usage dropped 60%
Works with every AI agent you already use
…and any MCP-compatible client
Waiting for input…
Gemini How It Works
Your AI agent queries Intercom for each customer's support history , number of conversations, average resolution time, escalation count, sentiment of recent messages.
Then it queries HubSpot for the business context , deal size, contract renewal date, last sales touchpoint, NPS response. The agent calculates a health score: low ticket volume + positive sentiment + upcoming renewal + high deal value = healthy.
High ticket volume + negative sentiment + no sales contact in 60 days + renewal in 30 days = critical churn risk.
Every customer gets a score from 0 to 100, updated weekly. The Google Sheet shows the full portfolio: sorted by risk, with trend arrows showing whether health is improving or declining.
A customer who went from 85 to 42 in three weeks is a red flag that no one would catch by reading individual tickets.
MCP Server Orchestration: 3 MCP Servers, one intelligent agent
Connect Intercom, HubSpot and Google Sheets MCP servers so your AI agent reads support conversation history from Intercom, correlates it with deal and revenue data from HubSpot, and builds a real-time customer health dashboard in Google Sheets. Customer success teams relying on gut feeling to predict churn get a data-driven health score that combines support sentiment, ticket volume, deal history, and engagement signals into a single number.
Intercom
triggerReads support conversations, ticket volume, response times and customer sentiment
list_conversations get_conversation list_contacts list_tags Hubspot
enrichmentPulls deal value, contract dates, renewal timelines and CRM activity
list_deals get_deal_details get_contact_details search_contacts Google Sheets
actionBuilds the customer health dashboard with scores, trends and churn risk flags
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.
- Intercom, 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.
Customer success teams who need a single health score combining support, usage and revenue data across platforms
Revenue teams preparing for quarterly business reviews who need a customer health report generated in minutes
SaaS companies with renewal-based revenue who need early churn warning signals before contract expiration
Support managers who want to correlate ticket volume and sentiment with business impact and prioritize accordingly
Frequently Asked Questions About This MCP Server Orchestration
Which MCP servers do I need for this workflow?
Three: Intercom, 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.
Can I use Zendesk instead of Intercom?
Yes. Swap the Intercom MCP for the Zendesk MCP on Vinkius. Both provide ticket and conversation data , the health scoring logic works the same way.
Is my customer data secure?
MCP servers authenticate through API keys. Intercom and HubSpot data stays in your accounts. The Google Sheet is in your Drive. Vinkius does not store your customer data.
MCP Servers for Automated Customer Onboarding
One AI agent handles CRM, scheduling and messaging , no triggers, no webhooks
MCP Servers That Predict Subscriber Churn
A customer downgraded from Enterprise to Starter yesterday and nobody noticed , their 6 support conversations in the last month should have been the warning
MCP Workflow for Smart Support Ticket Escalation
Your AI agent triages support tickets, deduplicates escalations and logs everything , hands off
Predict Agency Client Churn Using MCP Servers
Your biggest client has not opened the last 3 emails, their Intercom conversations dropped 80% in 2 months, and the account manager finds out they are leaving when the cancellation email arrives , not 60 days earlier when the signals were already screaming
Get Product Intel Before Sales Demos via MCP
Your AE is about to demo the dashboard feature for 30 minutes to a prospect who already used it 47 times in the trial , meanwhile the prospect only opened the API docs once and clearly needs help there
Identify Unprofitable Agency Clients Using MCP
Your biggest client generates 28% of revenue but consumes 45% of your team's time , and you will not know they are your least profitable account until you compare project hours against deal value, which nobody does because the data is in 3 different tools
MCP servers used in this workflow
Intercom
Intercom MCP Server gives your AI agent direct access to your customer communication data. Manage support conversations, search contacts, and pull company details without leaving your agent interface. You can list conversations, find specific contacts by email or name, and even reply to threads. It handles the full spectrum of customer support data, from initial lead enrichment to final resolution metrics.
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.