YouTube
 · MCP Server

YouTube MCP — Channel Analytics, Queryable by AI

Improvado's MCP server connects YouTube Analytics to your AI agent. Query video performance, audience retention, traffic sources, and ad revenue without building dashboards or exporting CSVs. Works with Claude, Cursor, ChatGPT, and any MCP-compatible tool.

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

Read: Pull YouTube Analytics Without Opening Studio

Ask your AI agent for views, watch time, audience retention, click-through rates, or revenue by video, playlist, or time period. Improvado handles the YouTube Data and Analytics API calls.

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 Video Metadata Through Your AI Agent

Update titles, descriptions, tags, and end screens across multiple videos through natural language. Your AI agent handles YouTube Data API write operations without manual Studio editing.

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

⚠️ Monitor

Monitor: Track Channel Performance Without Daily Studio Checks

Set your AI agent to watch view velocity, subscriber changes, and revenue trends. Catch performance drops, viral moments, or demonetization issues before you miss them.

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

Update titles, descriptions, tags, and end screens across multiple videos through natural language. Your AI agent handles YouTube Data API write operations without manual Studio editing.

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

Challenge 1

YouTube Studio Reports Don't Connect to Business Outcomes

THE PROBLEM

YouTube Studio shows views, watch time, and ad revenue — but it doesn't connect to what matters: did video traffic convert to leads, trials, or purchases? Teams make content decisions based on view counts alone because attribution doesn't exist inside Studio.

HOW MCP SOLVES IT

Improvado connects YouTube Analytics data to your other marketing and CRM data. Your AI agent can show which videos drove website traffic, what those visitors did, and whether they converted — connecting YouTube performance to business results.

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

Multi-Channel YouTube Reporting Takes Hours

THE PROBLEM

Managing content across multiple YouTube channels — brand channel, regional channels, product channels — means logging into each, pulling separate reports, and assembling a combined view manually. Weekly reporting is a half-day task.

HOW MCP SOLVES IT

Improvado aggregates all connected YouTube channels in one place. Your AI agent queries across all channels simultaneously — one question, one answer, no switching between accounts.

Challenge 3

Comparing Organic YouTube vs. YouTube Ads Requires Two Tools

THE PROBLEM

Organic performance lives in YouTube Analytics. Paid performance lives in Google Ads. Connecting the two requires exporting separate datasets, aligning date ranges, and manually combining them. Any analysis comparing earned vs. paid YouTube performance is a multi-hour project.

HOW MCP SOLVES IT

Improvado extracts both YouTube Analytics and Google Ads data into a unified schema. Your AI agent can compare organic and paid YouTube performance side by side in one query — no exports, no manual merge.

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 YouTube data can Improvado's MCP server access?
+

Improvado connects to both the YouTube Analytics API and the YouTube Data API. Accessible data includes video performance metrics, audience retention, traffic sources, subscriber data, ad revenue (if monetized), playlist analytics, and video metadata.

Can I connect multiple YouTube channels through one MCP server?
+

Yes. Improvado supports multi-channel configurations. Once your channels are connected, your AI agent can query across all of them simultaneously or filter to a specific channel.

Does this MCP server work with YouTube Ads data as well as organic analytics?
+

Yes. Improvado connects to YouTube Analytics for organic data and to the Google Ads API for YouTube Ads data (TrueView, bumpers, non-skippable). Both are accessible through the same MCP connection and can be compared in a single query.

Can the AI agent update YouTube video metadata like titles, descriptions, and tags?
+

Yes. Improvado's MCP server supports write operations via the YouTube Data API. Your AI agent can update video metadata — titles, descriptions, tags, thumbnails, end screens — across multiple videos in one instruction.

Can Improvado MCP access YouTube Analytics data for multiple channels in a single query?
+

Yes. Improvado MCP supports connecting multiple YouTube channels and consolidates their analytics into a unified queryable dataset. AI agents can compare view counts, watch time, subscriber growth, and revenue metrics across channels without switching between YouTube Studio accounts. This is particularly useful for media companies or multi-brand organizations managing several channels from a single analytics workflow.

Does Improvado MCP include YouTube Shorts metrics separately from standard video analytics?
+

YouTube Shorts metrics are available through the YouTube Analytics API and are included in Improvado MCP's data extraction. Shorts can be filtered by content type so AI agents can compare performance between Shorts and long-form videos — including views, average view duration, and subscriber impact. Note that monetization metrics for Shorts may have different reporting delays than standard video revenue data.

What YouTube data can Improvado's MCP server access?
Improvado connects to both the YouTube Analytics API and the YouTube Data API. Accessible data includes video performance metrics, audience retention, traffic sources, subscriber data, ad revenue (if monetized), playlist analytics, and video metadata.
Can I connect multiple YouTube channels through one MCP server?
Yes. Improvado supports multi-channel configurations. Once your channels are connected, your AI agent can query across all of them simultaneously or filter to a specific channel.
Does this MCP server work with YouTube Ads data as well as organic analytics?
Yes. Improvado connects to YouTube Analytics for organic data and to the Google Ads API for YouTube Ads data (TrueView, bumpers, non-skippable). Both are accessible through the same MCP connection and can be compared in a single query.
Can the AI agent update YouTube video metadata like titles, descriptions, and tags?
Yes. Improvado's MCP server supports write operations via the YouTube Data API. Your AI agent can update video metadata — titles, descriptions, tags, thumbnails, end screens — across multiple videos in one instruction.
Can Improvado MCP access YouTube Analytics data for multiple channels in a single query?
Yes. Improvado MCP supports connecting multiple YouTube channels and consolidates their analytics into a unified queryable dataset. AI agents can compare view counts, watch time, subscriber growth, and revenue metrics across channels without switching between YouTube Studio accounts. This is particularly useful for media companies or multi-brand organizations managing several channels from a single analytics workflow.
Does Improvado MCP include YouTube Shorts metrics separately from standard video analytics?
YouTube Shorts metrics are available through the YouTube Analytics API and are included in Improvado MCP's data extraction. Shorts can be filtered by content type so AI agents can compare performance between Shorts and long-form videos — including views, average view duration, and subscriber impact. Note that monetization metrics for Shorts may have different reporting delays than standard video revenue data.

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