Send Freelance Invoices via WhatsApp Using MCP.
Hours logged, invoice summary built, client notified on WhatsApp , freelancers get paid without chasing
Works with every AI agent you already use
…and any MCP-compatible client
Waiting for input…
Gemini How It Works
Your AI agent pulls time entries from Harvest for the current billing period , every hour tracked, which project, which client, which task.
It calculates total hours and billable amount per client based on your hourly rate. Then it writes an invoice summary to Google Sheets: client name, project, hours, rate, total due, and billing period.
For each client with unbilled hours, it sends a WhatsApp message: 'Hi Sarah , your invoice for June is ready.
24.5 hours on the website redesign, total: $2,450. I'll send the formal invoice shortly.' The client expects the invoice. You send it.
Payment arrives faster because nobody is surprised by the number.
MCP Server Orchestration: 3 MCP Servers, one intelligent agent
Connect Harvest, Google Sheets and WhatsApp MCP servers so your AI agent reads your tracked time, builds a client-ready invoice summary in Google Sheets, and sends a WhatsApp message to each client with the total hours and amount due. Freelancers stop losing money to unbilled hours and unnoticed invoices.
Harvest
triggerReads time entries, projects, clients and invoices
list_time_entries list_projects list_clients list_invoices Google Sheets
actionBuilds invoice summaries and tracks payment status
append_sheet_values update_sheet_values get_spreadsheet create_spreadsheet WhatsApp Whatsapp
actionSends invoice notifications to clients
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.
- Harvest, Google Sheets & 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.
Freelance designers and developers billing hourly through Harvest who lose time reconciling entries at month-end
Consultants managing 5+ retainer clients who need monthly invoice summaries without manual calculation
Virtual assistants and service providers whose clients prefer WhatsApp communication over formal email invoicing
Solopreneurs who track time in Harvest but struggle with the admin of turning time logs into paid invoices
Frequently Asked Questions About This MCP Server Orchestration
Which MCP servers do I need for this workflow?
Three: Harvest, Google Sheets 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.
Does the agent create the actual Harvest invoice?
Harvest has a create_invoice tool. You can ask the agent to create the formal invoice in Harvest after you review the summary. The WhatsApp message is a notification , the invoice comes from Harvest.
Can I filter by specific clients or date ranges?
Your prompt controls the scope. Ask for 'only Sarah and David' or 'all time entries from May 15 to June 15.' The agent filters Harvest data accordingly.
Is my time tracking and client data secure?
MCP servers authenticate through API keys. Your agent only sees Harvest projects, Google Sheets and WhatsApp contacts you have granted access to. Vinkius does not store your data.
What if a client doesn't have a WhatsApp number?
The agent skips the WhatsApp notification for clients without a phone number and notes the gap. The Google Sheet summary is still created , only the notification is skipped.
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
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
MCP Servers 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
Benchmark Seed Valuations Using MCP Servers
Your portfolio valuations compared, market comps pulled, benchmark report built , know if $12M pre-money for a Seed is reasonable before you negotiate
Book Appointments via WhatsApp Using MCP
Your AI agent checks availability, sends time slots via WhatsApp and logs every booking
MCP servers used in this workflow
Harvest
Harvest MCP Server automates time tracking, client management, and invoicing. Use your AI agent to list clients, create new ones, track time entries, and generate invoice drafts—all from natural conversation. Manage your entire billing cycle without leaving your chat interface.
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.
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.