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  3. MCP Youtube Channel Transcript Extractor
MCP Youtube Channel Transcript Extractor logo
Health: ActiveRecent health check succeeded.Last checked 10/8/2026, 7:46:03 AM

MCP Youtube Channel Transcript Extractor

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youtubetranscriptslead-enrichmentapify

Resolves company domains or YouTube handles to channel IDs, subscriber counts, metadata, and optional video transcripts.

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Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Configure Environment Variables (API Keys, Tokens, Options):
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Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "mcp-youtube-channel-transcript-extractor": {
      "command": "npx",
      "args": [
        "-y",
        "@mambalabsdev/mcp-youtube-channel-transcript-extractor"
      ],
      "env": {
        "APIFY_TOKEN": "YOUR_VALUE_HERE"
      }
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing Alternatives💻 More in Developer Tools

Overview

The mcp-youtube-channel-transcript-extractor MCP server resolves a company domain or YouTube handle through an Apify actor and returns channel identity data. Its main tool, get_youtube_channel_stats, can provide the stable channel ID, name, creation date, description, subscriber count, and optional timestamped transcripts. Use it for read-only YouTube enrichment when matching companies to official channels or inspecting recent video content. It requires an APIFY_TOKEN and uses Apify credits for each call.

Use cases

•Resolve company domains to official YouTube channels
•Retrieve channel IDs and subscriber counts for enrichment
•Check channel creation dates and descriptions
•Request transcripts from a channel’s latest videos
•Filter lookup results by extraction status

Key features

•Domain and YouTube handle resolution
•Channel metadata and subscriber count extraction
•Optional timestamped video transcripts
•Seven-day successful-result caching
•Per-result status reporting
•Clay-compatible flat output

Capabilities & Tool Schemas

Inspect callable tools, capabilities, and parameters exposed to AI agents by MCP Youtube Channel Transcript Extractor.

Extracted Tool Capabilities
Domain and YouTube handle resolution
Channel metadata and subscriber count extraction
Optional timestamped video transcripts
Seven-day successful-result caching
Per-result status reporting
Clay-compatible flat output

How MCP Youtube Channel Transcript Extractor works

What mcp-youtube-channel-transcript-extractor MCP server does

The mcp-youtube-channel-transcript-extractor MCP server connects an MCP client to Mamba Labs’ YouTube Channel Stats Extractor actor on Apify. It accepts either a bare company domain, such as shopify.com, or a YouTube handle such as @shopify or a full channel URL.

The result is a flat, Clay-compatible row containing the resolved channel’s stable UC identifier, channel name, creation date, description, and subscriber count. A domain lookup performs discovery; a supplied handle skips that discovery step. An optional company name can improve matching and helps the identity check avoid returning an unrelated profile.

The server is read-only. It does not require a YouTube API key, but every request needs an Apify token and consumes Apify credits.

How it works

The get_youtube_channel_stats tool performs the lookup and returns platform status information alongside the extracted values. Statuses include ok, not_found, not_extractable, blocked, identity_mismatch, and skipped. Consumers should inspect the status before treating a field as available. In particular, null means the value could not be determined, while false means the check completed and found no presence.

Successful lookups are cached for seven days by default. Set skipCache to true when a fresh fetch is required. The includeFollowerCounts option defaults to true; disabling it resolves the profile URL without fetching count data and uses fewer resources.

The mcp-youtube-channel-transcript-extractor MCP server can also request transcripts for the channel’s most recent videos. Set includeTranscripts to true and choose the number of videos with transcriptVideoCount, which defaults to five. Transcript results are timestamped and returned as one row per video.

Setup and configuration

Use Node.js 18 or newer and obtain an Apify API token from the Apify account integrations page. Register the package with an MCP client using a stdio configuration similar to this:

config.json
{
  "mcpServers": {
    "mamba-youtube-channel-stats": {
      "command": "npx",
      "args": ["-y", "@mambalabsdev/mcp-youtube-channel-transcript-extractor"],
      "env": { "APIFY_TOKEN": "your-apify-token" }
    }
  }
}

The only required environment variable is APIFY_TOKEN. Apify pricing and actor usage rules apply to each call.

Tools and capabilities

The server exposes get_youtube_channel_stats. Its supported inputs are:

  • company_domain: the company’s bare domain; use this or a handle.
  • company_name: an optional identity and search-quality hint.
  • handle: a YouTube handle or channel URL.
  • includeFollowerCounts: fetch count data when enabled.
  • skipCache: bypass the seven-day successful-result cache.
  • includeTranscripts: request recent-video transcripts.
  • transcriptVideoCount: set how many recent videos to process.

Limitations and notes

YouTube rounds subscriber counts above roughly one thousand, so the returned count may not be exact. The response flags this condition. Transcript extraction is currently constrained by YouTube: the caption list may be visible, while the content request can return an empty body without a proof-of-origin token. In that case, the server reports not_extractable; this should not be interpreted as proof that the video has no captions.

Transcript requests add fetches and therefore add usage. A blocked result may be worth retrying later, while an identity mismatch indicates that a real profile was found but did not match the requested company.

Read the full README →View source on GitHub →

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

npm downloads
171
Package downloads in the last 30 days.
Last commit
1d ago
Most recent push to the default branch.
Directory activity
1 views
Config copies, upvotes, and views on AllMCPs.

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Frequently Asked Questions about MCP Youtube Channel Transcript Extractor

mcp-youtube-channel-transcript-extractor is an MCP server that connects MCP clients to Mamba Labs’ YouTube Channel Stats Extractor actor on Apify. Its main tool, get_youtube_channel_stats, resolves company domains or YouTube handles and returns channel metadata, subscriber counts, IDs, and optional recent-video transcripts.

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Technical Specs & Signals

Category💻Developer Tools
More technical detailsExpand ▾
TransportSTDIO
RuntimeNode.js
LicenseMIT
ClientsClaude Desktop, Cursor, Cline / VS Code, Windsurf, Claude Code, VS Code (GitHub Copilot), Zed, OpenAI Codex CLI, Gemini CLI, JetBrains AI Assistant, Roo Code, Continue, LM Studio
Last updatedOct 7, 2026
9/9 checks healthy over the last 40d
Views1
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars0
GitHub Star CountTotal stargazers on GitHub representing community popularity (0 stars).
Last commit1d ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Oct 7, 2026
npm downloads171/mo
Monthly npm DownloadsAverage monthly package installs recorded from npm registry statistics.
43Quality signal: Fair · 43/100How this signal is calculated ▾
Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools16/30
Adoption & activity6/15
Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 4d ago via OSV.dev · @mambalabsdev/mcp-youtube-channel-transcript-extractor (npm)

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