YouTube MCP for channel and video analytics

Give Claude, ChatGPT, or any AI agent read access to your YouTube analytics. Find the videos, retention moments, traffic sources, and audience patterns driving channel growth.

BassemGamalAhmedJuan

10,000+ marketers scaling with AI.

YouTube connected to Claude, ChatGPT, and MCP clients through Markifact

Trusted by marketing teams at

Incubeta
GroupM
Dentsu
OMD
Starcom
Desertcart
Kave Home
Brainlabs
Ting
Orka
Nova Post
Reatilogists
Two YouTube analytics tools

What YouTube MCP can analyze

Move from channel health to individual-video retention and discovery analysis without reading separate YouTube Studio reports.

Claude ranking YouTube videos by views, watch hours, and subscribers gained

Find the videos driving channel growth

Rank videos by views, watch time, average view duration, engagement, or subscribers gained, with titles, URLs, thumbnails, publish dates, descriptions, and durations kept beside the metrics.

Track channel performance over time

Compare days, weeks, or months across views, engaged views, watch time, likes, comments, shares, playlist activity, and subscriber gains or losses.

Claude showing a YouTube audience retention curve and the largest viewer drop-off point

See where viewers keep watching

Analyze average view duration, average percentage viewed, audience watch ratio, and relative retention performance to understand how strongly each video holds attention.

Pinpoint retention drop-offs

Request a retention curve for one video, identify the exact moments where viewers leave, and turn those moments into concrete editing and content recommendations.

Claude reporting YouTube traffic sources and the search terms driving channel discovery

Understand how viewers find you

Break performance down by YouTube Search, suggested videos, browse features, external sites, embedded sites, playback locations, and the search terms or videos sending traffic.

Segment the audience behind the views

Analyze performance by country, US state, city, device, operating system, subscribed status, age group, gender, sharing service, or YouTube Premium usage where available.

YouTube analytics,
connected to your whole stack

Analyze organic channel performance, then carry the findings into Sheets, Docs, Slack, GA4, Google Ads, and the rest of your marketing workflow.

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ChatGPT
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Cursor
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Set up in minutes

No Google Cloud project, YouTube API code, or server hosting. Three steps and your AI assistant can analyze your channel.

Connect a YouTube channel to Markifact with OAuth
1

Connect YouTube

Sign up for Markifact and authorize your YouTube channel with secure OAuth. The connection requests analytics read access only.

Markifact is available in the Claude connector directory:

Connect in Claude

Open the listing and click Connect to add Markifact to Claude.

2

Connect your AI assistant

Pick Claude, ChatGPT, Cursor, or any MCP-compatible assistant and copy the setup. One URL or command connects it to Markifact.

Claude summarizing YouTube channel views, watch time, subscribers, and average viewed
3

Start analyzing YouTube

Ask for a channel snapshot, rank videos, inspect retention, or trace discovery sources in plain English. Analytics reads run immediately.

YouTube MCP prompt examples

Analyze channel health, rank videos, diagnose retention, and understand where discovery comes from.

Channel health

Get a clear channel snapshot

Bring the core growth and engagement metrics into one concise view.

Give me a YouTube channel snapshot for the last 28 days. Include views, engaged views, watch time, average view duration, average percentage viewed, likes, comments, shares, subscribers gained, and subscribers lost. Compare with the previous 28 days and explain the three biggest changes.

Compare your options

Markifact, YouTube Studio, or the APIs?

Use Markifact for conversational analysis across your stack, YouTube Studio for hands-on exploration, or the APIs when you want to own the implementation.

CapabilityMarkifact MCPYouTube StudioDirect APIs
Conversational analyticsAsk for a custom YouTube report in plain EnglishConfigure reports manually in YouTube StudioBuild the query and interpretation yourself
Current field discoveryBuilt-in youtube_list_report_fields toolMetrics exposed by each Studio reportYou maintain field compatibility
Video contextTitles, URLs, thumbnails, descriptions, dates, duration, and privacy beside performanceAvailable across separate Studio viewsRequires YouTube Data API enrichment
Audience retentionSingle-video retention curves with AI interpretationInteractive retention reportSupported with strict query rules
Traffic-source discoverySources, search terms, suggested videos, external and embedded sitesAvailable in Reach and Advanced ModeSupported with compatible dimensions
Cross-platform workflowCombine YouTube insight with GA4, Ads, Sheets, Docs, and SlackExport, then switch toolsRequires integrations and custom code
Publishing or channel editsNot supported; YouTube MCP is read-onlySupported manuallyRequires additional write scopes and implementation

YouTube access stays read-only

Channel and video analytics plus report-field discovery can run immediately. This connector does not upload, publish, edit, or delete YouTube content and does not request monetary analytics access.

Frequently Asked Questions

Have a different question? Reach out to Markifact support team.

Analyze YouTube from your AI client

Understand channel growth, video performance, retention, discovery, and audience behavior without building against the YouTube APIs.