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
Works with every AI agent you already use
…and any MCP-compatible client
Waiting for input…
Gemini How It Works
Your AI agent reads project data from ClickUp , task statuses, completion percentages, overdue items, and upcoming milestones for each client workspace.
Then it pulls time tracking data from Harvest , billable hours logged this week, total hours against budget, who worked on what, and how much budget remains.
The agent builds a Google Sheet report per client: 'Acme Corp , Week of June 2: 14 of 18 tasks completed (78%).
3 overdue (logo revision, landing page copy, social templates). 42 billable hours logged against 60-hour monthly retainer (70% consumed, 2 weeks remaining).
Budget health: on track. Risk: logo revision blocked , waiting for client feedback since May 28.' That is a report that took zero PM hours to create.
Multiply that by 12 clients and the PM gets Friday afternoon back , 6 hours of billable capacity recovered every single week.
Connector Orchestration: 3 Connectors, one intelligent agent
Connect ClickUp, Harvest and Google Sheets Connectors so your AI agent pulls project task status from ClickUp, time tracking data from Harvest, and builds polished client reports in Google Sheets , automatically, for every client, every week. Agency project managers who spend 2 hours per client per week manually assembling status reports , copying task completion rates, billable hours, and budget burn from different tools into spreadsheets , while those 6+ hours per week are unbillable overhead that eats directly into agency margins. The math is simple: at $95/hour blended rate, manual reporting costs the agency $29,640 per year in unbillable PM time. Per PM.
Clickup
triggerReads task status, completion rates, milestones, sprint progress and assignee workload across client workspaces
list_list_tasks get_task_details list_space_folders list_space_lists Harvest
enrichmentPulls billable hours, budget burn rate, time entries by team member and invoice status per client
list_time_entries list_projects list_clients list_invoices Google Sheets
actionBuilds branded client-ready reports with task progress, budget tracking and weekly summaries
create_spreadsheet append_sheet_values update_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.
- Clickup, Harvest & 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 project managers who build weekly client reports manually from ClickUp tasks and Harvest time entries
Agency owners tracking utilization rates who need to recover unbillable PM hours spent on internal reporting
Account managers who need consistent weekly client-facing progress reports without manual data assembly
Operations directors auditing budget burn rates across multiple client retainers to prevent scope creep
Frequently Asked Questions About This Connector Orchestration
Which Connectors do I need for this workflow?
Three: ClickUp, 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. Connect the Connectors and paste a prompt.
We use Asana instead of ClickUp. Is there a recipe?
Yes. Check the Vinkius marketplace for Asana recipes , the same reporting logic applies with the Asana MCP.
Is my client data secure?
Connectors authenticate through API keys. ClickUp, Harvest and Google Sheets data stays in your accounts. Vinkius does not store your client or billing data.
Connectors for Multi-Client Sprint Management
Your dev team tracks their work in Linear but the PM reports to clients in ClickUp , which means every sprint update is manually transcribed between two tools, and by the time the client sees it in ClickUp the data is already outdated
Connectors for Small Business Operations
Tasks organized, design templates found, team updates posted , run your small business from one conversation
MCP Workflow for Figma to Dev Handoffs
The designer finished the mockup two weeks ago and the developer just discovered it has 47 components but zero specs , now the sprint is blocked by a 'quick question' Slack thread with 130 messages
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
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
Connectors used in this workflow
ClickUp
ClickUp MCP connects your project management platform to your AI agent. You can create tasks, check list statuses, and browse workspaces using plain English. It lets your agent see your project hierarchy so you don't have to keep switching tabs between your chat and your dashboard.
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.
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.