MCP Recipe to Find Agency Revenue Leaks.
Your agency logged 847 billable hours last month but only invoiced 712 , that is 135 hours at $110/hour vanishing into thin air because time entries and subscription billing never talk to each other
Works with every AI agent you already use
…and any MCP-compatible client
Waiting for input…
Gemini How It Works
Your AI agent pulls all billable time entries from Harvest for the month , hours per client, hours per project, billable rates, and Harvest invoice status.
Then it queries Chargebee for subscription records , what each client pays on their retainer, billing cycle, and payment status.
The agent reconciles: 'Client Acme Corp , Harvest: 68 billable hours logged at $110/hr = $7,480. Chargebee subscription: $5,500/month retainer (50 hours included).
Overage: 18 hours ($1,980) not billed because the Chargebee subscription is flat-rate and nobody flagged the overage.' Across all clients: '847 billable hours logged.
712 hours covered by retainers. 135 hours ($14,850) are billable but not invoiced , either as retainer overages or project work outside the subscription scope.' The Google Sheet shows every gap: which clients consistently exceed their retainer, which clients under-utilize (potential churn risk), and where the agency is doing free work.
Connector Orchestration: 3 Connectors, one intelligent agent
Connect Harvest, Chargebee and Google Sheets Connectors so your AI agent reconciles time tracking data from Harvest against subscription billing records in Chargebee, and surfaces every gap, every unbilled hour, and every subscription misalignment in Google Sheets. Agencies using Harvest for time tracking and Chargebee for recurring retainer billing , where the time your team logs and the amount you actually invoice are two different numbers that nobody compares until the quarterly P&L shows a margin 12 points below target , get an automated revenue audit that finds the $14,850 leaking through the cracks every single month.
Harvest
triggerReads billable time entries, project hours, client totals and invoice records
list_time_entries list_projects list_clients list_invoices Chargebee
enrichmentReads subscription plans, billing amounts, invoice status and customer contract details
list_subscriptions get_subscription_details list_invoices list_customers Google Sheets
actionBuilds the revenue reconciliation dashboard with gap analysis and margin protection alerts
create_spreadsheet update_sheet_values append_sheet_values get_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 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.
- Harvest, Chargebee & Google Sheets 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.
Agency finance managers reconciling time-tracked hours against subscription billing to find unbilled revenue
Agency owners tracking margin erosion caused by retainer overages that are never invoiced as additional work
Account managers identifying under-utilized retainers that signal client disengagement and churn risk
Operations teams building revenue health dashboards that compare work delivered against revenue collected per client
Frequently Asked Questions About This Connector Orchestration
Which Connectors do I need for this workflow?
Three: Harvest, Chargebee 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 supporting the Model Context Protocol works , Claude Desktop, Cursor, Windsurf, Cline and others.
We bill hourly, not on retainers. Is this useful?
Yes. The reconciliation still applies , the agent compares logged hours in Harvest against invoiced amounts. Unbilled hours are revenue leakage regardless of billing model.
Is my financial data secure?
Connectors authenticate through API keys. Harvest and Chargebee data stays in your accounts. The Google Sheet is in your Drive. Vinkius does not store your billing data.
Generate Agency Reports Automatically Using MCP
Your project manager spends every Friday afternoon building 12 client reports from scratch , copying task statuses from ClickUp and time entries from Harvest into spreadsheets instead of billing those 6 hours
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
Connectors for Agency Team Utilization
Your designer says she is overloaded but Harvest shows 28 billable hours last week , the truth is she spent 14 hours on internal tasks that Todoist tracks but nobody counts when measuring capacity
Send Freelance Invoices via WhatsApp Using MCP
Hours logged, invoice summary built, client notified on WhatsApp , freelancers get paid without chasing
MCP Recipe for Subscription Payment Syncing
Orders placed, subscriptions activated, community notified , your e-commerce and billing stack talks to itself
Connectors 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
Connectors used in this workflow
Harvest
Harvest MCP lets you manage your time tracking, client data, and invoicing through your AI agent. You can create clients, generate invoice drafts, and monitor project time entries without leaving your chat interface. It turns your agent into a dedicated billing coordinator.
Chargebee
Chargebee MCP for AI agents. Automate recurring billing, manage customer subscriptions, and handle invoices directly through your AI client. It cuts out the need to jump between tabs or manage messy spreadsheets to keep your SaaS revenue moving.
Google Sheets
Google Sheets MCP lets you read, write, and manage spreadsheet data through your AI agent. Stop wasting time on manual data entry or complex formulas. Just tell your agent to pull specific ranges, add new rows, or create entire new sheets on the fly. It handles the tedious work of keeping your data organized so you can focus on making decisions.