amp
 · MCP Server

AMP MCP — Mobile Page Performance, Instantly Queryable by AI

Improvado's MCP server connects AMP analytics to your AI agent. Query load performance, mobile engagement, bounce rates, and conversion data from your Accelerated Mobile Pages in plain English. Works with Claude, ChatGPT, Cursor, and any MCP-compatible tool.

46K+ metrics · Read & Write access · 500+ platforms · <60s setup
📈 Read

Read: Get Any AMP Performance Metric on Demand

Ask your AI agent about AMP page load times, mobile engagement rates, scroll depth, and conversion performance — across pages, traffic sources, and date ranges. The MCP server surfaces the data without custom dashboards.

Your AI agent reads harmonized data across 500+ platforms. "Cost" in Google Ads and "spend" in Meta Ads resolve to the same field automatically.

Example prompts
"Show anomalies across all accounts" 2h → 40s
"CPL in New York vs. California?" 1h → 30s
"ROAS by campaign type, last 30 days" 45m → 15s
Works with Claude ChatGPT Cursor +5
Write actions
"Launch A/B test, $5K budget" 5 days → 20m
"Shift 20% of Display to PMax" 2h → 1m
"Pause all ad groups with CPA > $50" 30m → 10s
🛡 Every action logged · Fully reversible · SOC 2 certified
🚀 Write

Write: Update AMP Configurations and Content Tags

Manage AMP page configurations, update metadata, apply analytics tags, and adjust content parameters through your AI agent — without navigating implementation files manually.

250+ governance rules enforce naming conventions, budget limits, and KPI thresholds. SOC 2 Type II certified.

⚠️ Monitor

Monitor: Performance Regressions and Engagement Drops

Configure your AI agent to monitor AMP performance continuously. Get alerts when page load times regress, engagement rates fall below threshold, or AMP validation errors appear — before they affect search rankings or conversions.

Automated weekly reports, anomaly flagging, and budget alerts — all from a single conversation. No more morning check-ins across 5 dashboards.

Monitor prompts
"Flag ad groups over 120% budget" 3h → 1m
"Weekly report: spend, CPA, anomalies" 3h → auto
"Which creatives are fatiguing?" 2h → 30s
Alerts sent to Slack, email, or your AI agent
💡
Ideate
🚀
Launch
📈
Measure
🔍
Analyze
📝
Report
🔄
Iterate
One conversation. All six phases. Every platform.
🔄 Full Cycle

The Closed Loop: Read → Decide → Write → Monitor

Manage AMP page configurations, update metadata, apply analytics tags, and adjust content parameters through your AI agent — without navigating implementation files manually.

Every phase runs through the same MCP connection. One protocol, all platforms, full governance. No switching between tools.

Challenge 1

AMP vs. Non-AMP Performance Comparison Is Manual

THE PROBLEM

Teams want to know if AMP pages actually outperform standard mobile pages for their content. Answering this requires joining analytics data from AMP-specific events with standard page metrics, controlling for traffic source and content type. It's a multi-step SQL exercise most analytics teams defer indefinitely.

HOW MCP SOLVES IT

Improvado normalizes AMP analytics alongside standard web analytics in one data model. Ask the MCP server for a direct comparison of AMP vs. non-AMP performance on load time, engagement, and conversions — across content types and traffic sources, in one query.

Try asking
"Show ROAS across all 120 accounts"
Answer in seconds
All data sources, one query
Try asking
"What's my CPL in New York vs. California?"
🔍
Full detail preserved
No data loss on export
Challenge 2

AMP Validation Errors Break Silently

THE PROBLEM

AMP validation errors cause pages to fall out of Google's AMP cache, degrading load times and potentially dropping them from search features. Most teams only notice after traffic drops — because monitoring AMP errors requires checking Search Console manually or maintaining a custom scraper.

HOW MCP SOLVES IT

Ask the MCP server to surface AMP validation errors from Search Console data, track error frequency over time, and alert when new errors appear. The AI agent monitors the signal automatically — without manual checking.

Challenge 3

AMP Conversion Data Doesn't Flow to Ad Platforms

THE PROBLEM

Conversions on AMP pages are often under-attributed in ad platforms because the standard pixel fires differently in the AMP environment. Media buyers end up optimizing campaigns on incomplete conversion data, overspending on channels that underperform on actual mobile outcomes.

HOW MCP SOLVES IT

Improvado joins AMP conversion events with ad platform data using consistent attribution logic. Ask the MCP server for true AMP conversion rates by campaign and channel — reconciling what AMP analytics sees with what ad platforms report.

Try asking
"PMax vs. Search ROAS for Q1?"
⚖️
Unified data model
Compare anything side by side
Agency CEO
Portfolio health. Client risk. Revenue signals.
Media Strategist
70% strategy, not 70% ops. Auto campaign QA.
Marketing Analyst
Zero wrangling. Cross-platform. AI narratives.
Account Manager
QBR decks auto-generated. Call prep in 30s.
Creative Director
Performance-to-brief. Predict winners before spend.
👥 Teams

One Framework. Five Roles. Zero Setup.

Same MCP connection, different workflows for every team member. Agency CEOs get portfolio health. Media Strategists get campaign QA. Analysts get cross-platform reports. Account Managers get auto-generated QBR decks. Creative Directors get performance-based briefs.

Each role asks in natural language. The MCP server handles the complexity — rate limits, auth, schema normalization, governance — behind the scenes.

Frequently Asked Questions

What is AMP and why does it need an MCP server?
+

AMP (Accelerated Mobile Pages) is Google's open-source framework for fast-loading mobile web pages. AMP generates its own analytics events and performance data that lives separately from standard web analytics. An MCP server makes that data queryable by AI agents in natural language — without custom API scripts.

What AMP data is available through the MCP server?
+

Page load performance, user engagement metrics (scroll depth, time-on-page), conversion events, bounce rates, traffic source breakdowns, AMP validation status, and comparison data against non-AMP pages. Improvado normalizes AMP analytics alongside Google Analytics and other web analytics platforms.

Which AI tools work with the AMP MCP server?
+

Any tool supporting the Model Context Protocol: Claude Desktop, ChatGPT, Cursor, Windsurf, Gemini, and custom applications using the MCP HTTP transport.

Can the AMP MCP server combine data with Google Search Console and Google Ads?
+

Yes. Improvado normalizes AMP data alongside Search Console, Google Ads, and analytics platforms in one model. The MCP server can answer questions about AMP search ranking impact, paid conversion attribution, and organic performance — combining all sources in one query.

Is AMP analytics data secure through the MCP server?
+

Yes. Improvado is SOC 2 Type II certified. All API credentials and OAuth tokens are stored in an encrypted vault. Queries run through Improvado's secure proxy — no credentials are exposed to the AI tool.

How quickly can teams start querying AMP data with AI?
+

If your web analytics and Search Console accounts are already connected in Improvado, AMP data is available immediately. For Claude Desktop or Cursor, one configuration line activates the MCP server. Initial setup for new accounts takes under 20 minutes.

What is AMP and why does it need an MCP server?
AMP (Accelerated Mobile Pages) is Google's open-source framework for fast-loading mobile web pages. AMP generates its own analytics events and performance data that lives separately from standard web analytics. An MCP server makes that data queryable by AI agents in natural language — without custom API scripts.
What AMP data is available through the MCP server?
Page load performance, user engagement metrics (scroll depth, time-on-page), conversion events, bounce rates, traffic source breakdowns, AMP validation status, and comparison data against non-AMP pages. Improvado normalizes AMP analytics alongside Google Analytics and other web analytics platforms.
Which AI tools work with the AMP MCP server?
Any tool supporting the Model Context Protocol: Claude Desktop, ChatGPT, Cursor, Windsurf, Gemini, and custom applications using the MCP HTTP transport.
Can the AMP MCP server combine data with Google Search Console and Google Ads?
Yes. Improvado normalizes AMP data alongside Search Console, Google Ads, and analytics platforms in one model. The MCP server can answer questions about AMP search ranking impact, paid conversion attribution, and organic performance — combining all sources in one query.
Is AMP analytics data secure through the MCP server?
Yes. Improvado is SOC 2 Type II certified. All API credentials and OAuth tokens are stored in an encrypted vault. Queries run through Improvado's secure proxy — no credentials are exposed to the AI tool.
How quickly can teams start querying AMP data with AI?
If your web analytics and Search Console accounts are already connected in Improvado, AMP data is available immediately. For Claude Desktop or Cursor, one configuration line activates the MCP server. Initial setup for new accounts takes under 20 minutes.

Stop Reporting. Start Executing.

Connect your data to an AI agent in under 60 seconds. The closed loop starts with one conversation.

SOC 2 Type II
GDPR
500+ Platforms
46K+ Metrics