MCP Recipe for YouTube Video ROI Tracking.
Video performance pulled, ad spend correlated, ROI dashboard built , know which content pays for itself
Works with every AI agent you already use
…and any MCP-compatible client
Waiting for input…
Gemini How It Works
Your AI agent pulls performance data for your YouTube videos , views, watch time, likes, comments, subscriber growth from each video.
Then it checks Google Ads for any campaigns promoting those videos: spend, impressions, clicks, cost-per-view, and click-through rate. The agent matches each video to its ad campaign by title or URL.
It writes everything to Google Sheets: one row per video with organic views, paid views, total spend, cost-per-view, engagement rate, and a calculated ROI score.
Videos that drive organic growth without ad spend get flagged as 'organic winners.' Videos eating budget with low engagement get flagged as 'review spend.' Weekly runs build a trend view , you see which videos compound over time and which flatline after the ad budget stops.
MCP Server Orchestration: 3 MCP Servers, one intelligent agent
Connect YouTube, Google Ads and Google Sheets MCP servers so your AI agent reads video performance metrics, pulls ad spend data for promoted videos, and builds a cost-per-view ROI dashboard in Google Sheets. Stop guessing which videos earn and which burn budget.
Youtube
triggerReads video metrics, comments and channel data
get_video get_channel list_comments search_videos Google Ads
actionPulls campaign spend, impressions and keyword performance
list_campaigns get_campaign_report get_ad_performance get_keyword_performance Google Sheets
actionBuilds the ROI dashboard with video-to-spend correlation
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.
- Youtube, Google Ads & 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.
YouTube creators running Google Ads to promote videos who need to know which promotions actually pay off
Marketing teams managing a YouTube channel and ad budget who report ROI monthly and need the data pre-built
E-commerce brands using YouTube ads for product videos who want cost-per-conversion correlated with video engagement
Agencies managing YouTube campaigns for clients who need a weekly performance report without manual data pulls
Frequently Asked Questions About This MCP Server Orchestration
Which MCP servers do I need for this workflow?
Three: YouTube, Google Ads 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.
How does the agent match videos to ad campaigns?
It matches by video URL or title. If a Google Ads campaign links to a YouTube video URL, the agent correlates them. Videos without matching campaigns are reported as organic-only.
Can I filter by date range or specific videos?
Your prompt controls the scope. Ask for 'videos published this month' or 'only the 3 product demo videos' , the agent filters accordingly.
Is my channel and ad data secure?
MCP servers authenticate through OAuth or API keys. Your agent only sees YouTube channels and Google Ads accounts you have granted access to. Vinkius does not store your data.
Does the agent read all comments or just count them?
It can do both. Ask for comment counts for a quick overview, or 'show me the top 10 comments on each video' for qualitative analysis. Comment content helps assess audience sentiment beyond vanity metrics.
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MCP servers used in this workflow
YouTube
The YouTube MCP Server lets your AI agent analyze video data, audit channel performance, and track audience engagement directly from chat commands. Use it to search for videos by keyword, pull detailed statistics on any single video, check a channel's overall metrics, or run sentiment analysis on recent comments. It turns manual dashboard clicking into simple conversation.
Google Ads
Google Ads MCP Server connects your AI client directly to your ad account data. Audit campaigns, analyze keyword efficiency, and retrieve performance reports across your entire account using natural language. It lets you run complex analyses—like correlating budget depletion with specific ad group underperformance—without leaving your chat window. It's your PPC specialist, built into your workflow.
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.