Yt Analytics

MCP server for YouTube channel deep analytics. Extracts transcripts, computes quantitative metrics (WPM, profanity, humor taxonomy, rhetoric fingerprint, title formula, posting schedule), and generates multi-creator comparison dashboards.

Tools

Tool	Description
yt_analyze_channel	Analyze a channel: download transcripts, compute metrics, cache results
yt_list_analyses	List all cached channel analyses
yt_get_analysis	Retrieve full cached analysis JSON for a channel
yt_remove_analysis	Remove a cached analysis
yt_compare_creators	Build a tabbed HTML comparison dashboard from cached analyses

Quick Start

# Install
cd yt-analytics-mcp
npm install

# Add to Claude Code settings
# ~/.claude/settings.json → mcpServers

Claude Code Config

{
  "mcpServers": {
    "yt-analytics": {
      "command": "node",
      "args": ["/path/to/yt-analytics-mcp/src/index.js"],
      "env": {
        "YT_ANALYTICS_DATA": "/path/to/yt-analytics-mcp/data"
      }
    }
  }
}

Usage

Analyze a single channel

Analyze @BennJordan's channel (20 videos, tech niche)
→ calls yt_analyze_channel with channel="@BennJordan", limit=20, niche="tech"

Returns structured JSON with per-video and aggregate metrics:

• WPM (words per minute) with niche baseline comparison
• Profanity density per minute
• Humor taxonomy (crude, self-deprecating, confrontational, hyperbolic, absurd)
• Rhetoric fingerprint (connector word frequencies: but, so, because, if you, etc.)
• Title formula (CAPS usage, exclamation marks, parentheticals)
• Posting schedule (day-of-week distribution, monthly activity, cadence gaps)

Build a comparison dashboard

Compare all analyzed channels in a tabbed dashboard
→ calls yt_compare_creators

Generates a self-contained HTML file with:

• Sticky tab bar for switching between creators
• KPI cards (videos, words, runtime, median WPM, profanity, avg length)
• WPM horizontal bar chart with niche average line
• Video structure timeline
• Humor taxonomy doughnut chart
• Profanity density bar chart
• Rhetoric radar chart
• Video length vs. speech rate bubble chart
• Posting schedule — day-of-week bar chart, monthly activity line chart, cadence stats
• Title formula badges
• Opening line pattern breakdown
• Connector language grid
• Per-video data table
• Written analysis

Workflow

1. yt_analyze_channel → analyze @Creator1 (cached)
2. yt_analyze_channel → analyze @Creator2 (cached)
3. yt_analyze_channel → analyze @Creator3 (cached)
4. yt_compare_creators → build tabbed dashboard from all cached analyses

The companion /yt-analytics skill adds Gemini qualitative analysis on top — editing mechanics, humor quotes, video structure timelines, energy modulation — then merges with the MCP's quantitative data.

Filtering by date

Analyze @RyanHumiston — last 2 years only, 20 videos
→ yt_analyze_channel with channel="@RyanHumiston", limit=20, max_age_days=730

The --max-age-days flag filters out videos older than N days before analysis.

Niche Baselines

Niche	Avg WPM
Fitness	~170
Tech	~160
Commentary	~190
Educational	~150
Gaming	~180
News	~175
Woodworking	~175
Music	~165

Requirements

• Node.js 18+
• Python 3.10+ with yt-dlp and youtube-transcript-api installed
• No API keys needed

Data Storage

Analyses are cached as JSON files in the data/ directory (configurable via YT_ANALYTICS_DATA env var). Transcript files are stored in data/transcripts/.

Architecture

yt-analytics-mcp/
├── src/
│   └── index.js          # MCP server + HTML generator
├── scripts/
│   └── analyze_channel.py # Transcript extraction + quantitative analysis
├── docs/                  # Example screenshots
├── data/                  # Cached analyses (JSON) + transcripts
├── package.json
└── README.md

The MCP server wraps the Python analysis script and adds:

• Result caching and management
• Multi-creator comparison HTML generation
• Structured tool interfaces for Claude Code