MCP Servers for Cross-Platform Ad Analytics.
Your media buyer checks Google Ads and Meta Ads separately for each client every morning , 12 clients across 2 platforms is 24 logins before the first coffee, and nobody catches that Client B's CPA doubled overnight until the budget is gone
Works with every AI agent you already use
…and any MCP-compatible client
Waiting for input…
How It Works
Your AI agent queries Google Ads for campaign performance data across all client accounts , spend, conversions, CPA, click-through rate, and ROAS.
Then it queries Meta Ads for the same metrics on Facebook and Instagram campaigns. The agent builds a unified Google Sheet: every client on one page, both platforms side by side.
'Client B , Google: $2,400 spent, 48 conversions, CPA $50 (target: $35). Meta: $1,800 spent, 72 conversions, CPA $25 (target: $30).
Cross-platform insight: Google CPA is 43% above target and rising. Meta CPA is 17% below target. Recommendation: shift $600 from Google to Meta , projected result: 24 additional conversions at $25 CPA instead of 12 at $50 CPA.' The media buyer opens one spreadsheet and knows exactly where every dollar is going, which campaigns need attention, and where to reallocate budget , before the morning standup.
MCP Server Orchestration: 3 MCP Servers, one intelligent agent
Connect Google Ads, Meta Ads and Google Sheets MCP servers so your AI agent pulls campaign performance from both ad platforms, cross-references spend, CPA, ROAS and conversion data across all clients, and builds a unified performance dashboard in Google Sheets. Agency media buyers managing ad spend across Google and Meta for multiple clients , where checking performance requires 24 separate logins, comparisons happen in the buyer's head instead of on paper, and CPA spikes go unnoticed until the daily budget is burned , get a single-pane view of every client's ad performance across both platforms with automated anomaly detection.
Google Ads
triggerPulls campaign metrics , spend, impressions, clicks, conversions, CPA, ROAS , across all client accounts
get_campaign_report list_campaigns get_ad_performance get_keyword_performance Meta Ads
enrichmentPulls campaign metrics , spend, reach, CPM, CPA, ROAS , across all client Meta ad accounts
get_campaign_insights list_campaigns get_account_insights list_ad_sets Google Sheets
actionBuilds the cross-platform performance dashboard with anomaly flags and optimization recommendations
create_spreadsheet update_sheet_values append_sheet_values batch_get_values 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.
- Google Ads, Meta 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.
Agency media buyers managing Google and Meta ad spend across multiple clients who need a unified performance view
Agency owners tracking ROAS and CPA across all client accounts to identify underperforming campaigns before budget is wasted
Account managers who need weekly cross-platform ad performance reports without manual data assembly from two platforms
Paid media teams who want automated anomaly detection on CPA spikes and budget pacing across all client accounts
Frequently Asked Questions About This MCP Server Orchestration
Which MCP servers do I need for this workflow?
Three: Google Ads, Meta 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 supporting the Model Context Protocol works , Claude Desktop, Cursor, Windsurf, Cline and others. Connect the MCPs and paste a prompt.
Can I manage multiple Google Ads accounts?
Yes. The Google Ads MCP supports MCC (Manager) accounts. Connect your manager account and access all client accounts from one integration.
Is my ad account data secure?
MCP servers authenticate through API keys. Google Ads and Meta Ads data stays in your accounts. The Google Sheet is in your Drive. Vinkius does not store your advertising data.
MCP Recipe for YouTube Video ROI Tracking
Video performance pulled, ad spend correlated, ROI dashboard built , know which content pays for itself
Retarget Ad Audiences Automatically via MCP
Ad performance analyzed, winning audiences identified, email retargeting campaign sent , your ads and emails work together
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
Build Serverless Data Warehouses Using MCP
You scrape data into CSV files that nobody queries , Firecrawl extracts structured web data, Neon stores it in serverless PostgreSQL you can query with SQL, and Sheets visualizes the results
Calculate Your Real Meeting Costs Using MCP
Your team has 340 hours of meetings this week across 47 events , and nobody has calculated that this costs $28,000 in engineering salaries just to sit in rooms and nod
MCP servers used in this workflow
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.
Meta Ads
Meta Ads gives your AI agent direct access to run Facebook and Instagram campaigns. You can manage ad sets, list creatives, pull deep performance metrics (ROAS, CTR, CPC), and build custom audiences—all without opening Meta Ads Manager. It's full ad spend control for your chat window.
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.