Track Frontend Performance Budgets via MCP.
Deploys tracked, performance budgets enforced, Lighthouse scores logged, regressions flagged , guard your Core Web Vitals without manual audits
Works with every AI agent you already use
…and any MCP-compatible client
Waiting for input…
Gemini How It Works
Your AI agent reads Netlify: new production deploy completed , Build #847 for web-app, committed by @alex, build time 2m 34s.
The agent triggers Checkly performance checks on the production URL. Results: LCP 2.1s (budget: < 2.5s ), CLS 0.08 (budget: < 0.1 ), INP 180ms (budget: < 200ms ), FCP 1.2s, TTFB 340ms.
All within budget. But the agent compares to last deploy: LCP was 1.6s, now it is 2.1s , a 31% increase.
Still within budget, but trending toward the limit. CLS improved from 0.12 to 0.08 , the layout shift fix worked.
The agent logs to Google Sheets: Build #847 row with all metrics, deploy timestamp, commit hash, author. After 20 deploys, you see the LCP trend: 1.41.51.61.82.1.
Three more deploys at this rate and you will blow the 2.5s budget. The agent flags it: 'LCP trend alert: 5 consecutive increases.
Will exceed 2.5s budget within ~3 deploys at current rate.'
Connector Orchestration: 3 Connectors, one intelligent agent
Connect Netlify, Checkly and Google Sheets Connectors so your AI agent monitors every Netlify deploy, triggers Checkly performance checks against your production URL, compares the results to your performance budget (LCP < 2.5s, CLS < 0.1, INP < 200ms), and logs results to a Google Sheet for trend analysis. Frontend teams who care about Core Web Vitals but forget to run Lighthouse after every deploy get automated enforcement. No manual audits. No performance regressions slipping through. One prompt and your performance budget is enforced.
Netlify
triggerMonitors production deploys and build metadata
list_deploys get_deploy get_site trigger_build Checkly
actionRuns synthetic performance checks and measures Web Vitals
trigger_check_run get_check_details get_check_performance_metrics list_checkly_checks Google Sheets
actionLogs performance scores and tracks trends over time
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 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.
- Netlify, Checkly & 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.
Frontend teams who need automated Core Web Vitals enforcement after every Netlify deploy without manual Lighthouse runs
Performance engineers who want historical tracking of LCP, CLS and INP trends across every production deploy
Engineering managers who need to prove performance compliance for SLAs or SEO requirements with documented metrics
Agencies managing multiple client sites on Netlify who need per-site performance budgets tracked in a shared spreadsheet
Frequently Asked Questions About This Connector Orchestration
Which Connectors do I need for this workflow?
Three: Netlify, Checkly and Google Sheets. Connect all three to your AI client.
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.
Can I use Vercel instead of Netlify?
Yes. Replace the Netlify Connector with the Vercel Connector. The workflow logic remains identical.
What performance budgets should I set?
Google recommends: LCP < 2.5s, CLS < 0.1, INP < 200ms for 'Good' Core Web Vitals. Adjust based on your application's needs.
Does Checkly measure real user metrics?
Checkly runs synthetic checks from controlled environments. For real user metrics (RUM), pair with a RUM tool. Synthetic checks ensure consistent baseline measurements.
Can I get alerts when a budget is violated?
Yes. Add Discord or WhatsApp to the workflow. The agent will post an alert when any metric exceeds its budget threshold.
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Connectors used in this workflow
Netlify
Netlify MCP lets you manage your web hosting and deployment workflows directly from your AI agent. You can list projects, trigger builds, check deployment statuses, and pull form submissions without leaving your workspace. It's the fastest way to handle your edge-native site management through natural conversation, allowing you to monitor site health and manage DNS records without opening extra tabs.
Checkly
Checkly MCP lets you manage your application monitoring and synthetic testing through your AI client. You can track API uptime, trigger manual checks, and audit your alert channels without leaving your chat interface. It connects your monitoring stack directly to your workspace for faster responses to system issues and better visibility into your backend health.
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.