MCP Recipe for Agency SEO Dashboards.
Your SEO manager manually exports Google Analytics data for 8 clients every Monday morning , and by the time the last client report is done, the first client's data is already a week old
Works with every AI agent you already use
…and any MCP-compatible client








Waiting for input…
How It Works
Your AI agent queries Google Analytics for each client property , organic sessions, landing page performance, conversion events, engagement rate, and traffic trends.
Then it queries HubSpot for leads and deals sourced from organic search: how many contacts were created from organic traffic, how many deals are open, and how much revenue has closed.
The agent builds the full funnel: 'Acme Corp , Organic sessions: 14,200 (+12% MoM). Top landing page: /api-integration-guide (2,400 sessions, 4.2% conversion rate).
Leads from organic: 47 this month. Deals from organic leads: 3 open ($89K pipeline), 2 closed ($34K revenue). SEO-attributed revenue: $34K this month against $8K agency retainer = 4.25x ROI.' The Google Sheet shows every client's SEO funnel , from sessions to revenue , so the agency proves the work pays for itself.
Connector Orchestration: 3 Connectors, one intelligent agent
Connect Google Analytics, HubSpot and Google Sheets Connectors so your AI agent pulls traffic, conversion and engagement data from Google Analytics for all client properties, enriches it with lead and deal data from HubSpot, and builds SEO performance dashboards in Google Sheets that show the full funnel from organic search to closed revenue. SEO agencies that report on traffic and rankings but cannot connect those metrics to actual leads and revenue , because Google Analytics and the client's CRM are separate systems managed by separate teams , get a full-funnel dashboard that proves SEO generates revenue, not just page views.
Google Analytics
triggerPulls traffic sources, page performance, conversion events and engagement metrics per client property
run_report run_realtime_report list_properties get_metadata Hubspot
enrichmentReads lead creation, deal progression, revenue attribution and contact source data
list_contacts list_deals search_contacts get_deal_details Google Sheets
actionBuilds the full-funnel SEO performance dashboard with traffic-to-revenue attribution per client
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 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.
- Google Analytics, Hubspot & 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.
SEO agencies reporting organic performance to clients who need full-funnel traffic-to-revenue attribution
Digital marketing agencies managing multiple GA properties who want to automate weekly client performance reporting
Agency account managers proving SEO ROI during retainer renewals with revenue data connected to traffic metrics
Content marketing agencies tracking which blog posts and landing pages generate leads and deals, not just page views
Frequently Asked Questions About This Connector Orchestration
Which Connectors do I need for this workflow?
Three: Google Analytics, HubSpot 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 use GA4. Does this work?
Yes. The Google Analytics MCP connects to GA4 properties via the Data API. All reports use the GA4 schema.
Is my analytics data secure?
Connectors authenticate through API keys. Google Analytics and HubSpot data stays in your accounts. Vinkius does not store your traffic or CRM data.
Audit Agency Websites Using Connectors
Your agency manages 15 client Webflow sites but nobody checks if last month's landing page update actually improved conversions , the designer shipped it, the PM marked it done, and the page sits there with a 0.4% conversion rate that nobody measures
MCP Recipe for Email Campaign Attribution
Your email campaign got a 24% open rate and 3.8% click rate , which tells the client nothing about how many people actually visited the site, filled out a form, or became a paying customer from that email
MCP Recipe to Track Social Media ROI
Your social media manager posts 40 times per week across 8 client accounts but has no idea which posts drive website traffic , they report on likes and shares while the client asks 'but did anyone actually visit our site?'
Get Product Intel Before Sales Demos via MCP
Your AE is about to demo the dashboard feature for 30 minutes to a prospect who already used it 47 times in the trial , meanwhile the prospect only opened the API docs once and clearly needs help there
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 for Agency Prospect Research
Your sales rep spends 40 minutes researching every prospect on LinkedIn before a call , and still walks in without knowing the company just raised funding, their tech stack changed, or they are actively looking for an agency
Connectors used in this workflow
Google Analytics
Google Analytics MCP lets you query GA4 data through natural conversation. Run custom reports, check realtime traffic, analyze conversion funnels, and manage audience exports directly from your AI agent. It removes the friction of navigating the dashboard and turns complex data into clear answers.
HubSpot
HubSpot MCP connects your CRM to your AI agent, letting you manage contacts, companies, and deals without leaving your chat window. It handles everything from listing users and pipelines to searching for specific leads and linking records together. It's built for teams who want to stop tab-switching and start getting work done through simple commands.
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.