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
Works with every AI agent you already use
…and any MCP-compatible client
Waiting for input…
How It Works
Your AI agent reads all team member tasks from Todoist , internal projects, admin tasks, proposal writing, meetings, and non-client work.
It categorizes them: 'Sarah , Todoist internal tasks this week: proposal writing (4 hours), team meeting (2 hours), training (3 hours), admin/email (3 hours), hiring interviews (2 hours).
Total internal: 14 hours.' Then it reads Harvest: 'Sarah , billable hours this week: 28. Non-billable (logged in Harvest): 2 hours.' Traditional utilization: 28 40 = 70%.
Looks like Sarah has 12 hours of spare capacity. True utilization (with Todoist internal): (28 + 14) 40 = 105%.
Sarah is actually overloaded , working 42 hours and her manager thinks she has capacity. The Google Sheet dashboard shows the true picture for every team member: 'Team utilization , Harvest-only: 68% (looks like capacity exists).
True utilization (Harvest + Todoist): 94% (no capacity, team is near burnout).' The gap between 68% and 94% is 26% of working time spent on internal work that nobody measures.
MCP Server Orchestration: 3 MCP Servers, one intelligent agent
Connect Todoist, Harvest and Google Sheets MCP servers so your AI agent reads internal task workload from Todoist, compares it with billable time entries from Harvest, and builds a true utilization dashboard in Google Sheets that shows the complete picture , billable work plus internal overhead that eats into capacity without generating revenue. Agencies where the utilization report shows 65% billable hours and the owner wonders why the team 'has capacity' , while every team member says they are overloaded , because internal tasks (meetings, admin, proposals, training) are tracked in Todoist but never counted in the capacity equation, creating a gap between perceived availability and reality.
Todoist
triggerReads internal tasks, project assignments, completion data and workload distribution per team member
list_tasks list_projects list_labels list_sections Harvest
enrichmentReads billable and non-billable time entries, project hours and utilization rates per team member
list_time_entries list_projects list_clients list_invoices Google Sheets
actionBuilds the true utilization dashboard combining billable time with internal task overhead
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 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.
- Todoist, Harvest & 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.
Agency owners who want to understand true team utilization by combining billable time with internal task overhead
Operations directors tracking the gap between Harvest utilization and actual team capacity to prevent burnout
Resource managers planning team allocation who need to account for internal overhead before assigning new client work
Agency finance teams calculating the true cost of internal activities like proposal writing, meetings and admin
Frequently Asked Questions About This MCP Server Orchestration
Which MCP servers do I need for this workflow?
Three: Todoist, Harvest 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 do not track internal task hours in Todoist. Can this still work?
The agent reads Todoist task counts and estimated durations. Even without exact hours, task volume patterns reveal internal overhead. For best results, use Todoist estimated durations on internal tasks.
Is my team data secure?
MCP servers authenticate through API keys. Todoist, Harvest and Google Sheets data stays in your accounts. Vinkius does not store your team or time tracking data.
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MCP servers used in this workflow
Todoist
Todoist MCP Server connects your Todoist account directly to any AI client. You can view active tasks, manage projects, create new items, and check discussion history—all without ever having to open the native app. It lets you keep complex project data inside your chat window.
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.