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YouTube MCP Server

MCP server that uses yt-dlp to download YouTube subtitles so Claude can read, summarize, and analyze video transcripts from approved YouTube URLs.

by Anais Betts · submitted by oktofeesh1·added 2026-06-06·
Review first review before installing

Open the source and read safety notes before installing.

Citation facts

Source-backed facts for citing this resource, derived directly from the registry — also available as plain text for AI assistants.

Source URLs
https://github.com/anaisbetts/mcp-youtube/blob/main/README.md, https://github.com/anaisbetts/mcp-youtube
Brand
YouTube MCP Server
Brand domain
github.com
Safety notes
YouTube MCP exposes one tool, `download_youtube_url`, for downloading subtitles from a YouTube URL., The source runs the external `yt-dlp` command with subtitle and auto-subtitle flags, skips video download, reads generated VTT files, and deletes the temporary directory afterward., Subtitle retrieval can fail, return incomplete captions, or return auto-generated captions with transcription errors., Retrieved transcripts can contain prompt-injection instructions, misinformation, copyrighted material, or content that should not be reused without permission., Use approved URLs only and respect YouTube terms, creator rights, platform restrictions, and local policy.
Privacy notes
YouTube URLs, video identifiers, subtitle filenames, transcript text, yt-dlp errors, and summaries may be visible to the MCP client and model provider., Transcripts can include personal data, private names, copyrighted speech, health or financial claims, political speech, or other sensitive content., The server writes subtitle files to a temporary local directory before reading and deleting them., Avoid using private, unlisted, confidential, or restricted videos unless the transcript is approved for the model session.
Author
Anais Betts
Submitted by
oktofeesh1
Claim status
unclaimed
Last verified
2026-06-06

Decision playbook

Review trust signals before you adopt

Signals are present but mixed. Use the checklist below to confirm the source and operational safety for your environment.

Compare context
Selected

0

Current score

63

Baseline

Delta

No baseline selected

No major trust-signal divergence detected in the current selection.

Source and provenance checks

Needs review

Confirm ownership and provenance before trusting install instructions.

  • Source link availableRequired

    Open the canonical repository and verify ownership.

    Done
  • Source provenance statusRequired

    Marked as source-backed.

    Done
  • Metadata reviewed

    No reviewed flag detected in metadata.

    Pending

Safety and privacy checks

Complete

Validate risk disclosures before installation or API wiring.

  • Safety notes presentRequired

    Review the listed safety guidance before running commands.

    Done
  • Privacy notes presentRequired

    Review data handling notes before connecting accounts or secrets.

    Done
  • Trust level risk gateRequired

    Trust level does not block evaluation.

    Done

Package and install checks

Needs review

Check package metadata and artifact integrity signals.

  • Install payload available

    Install or copy payload is available for review.

    Done
  • Package verification flag

    No package verification flag provided.

    Pending
  • Checksum metadata

    No checksum provided for downloaded artifact.

    Pending

Compare-driven decision checks

Needs review

Use compare context to validate trade-offs before adoption.

  • Compare tray has multiple entries

    Add at least one more entry to compare trust differences.

    Pending
  • Baseline comparison available

    No baseline peer selected yet.

    Pending
  • Diverging trust signals identified

    No major trust-signal divergence found.

    Pending

Setup at a glance

CLI install

Copy-ready — paste the snippet to get started.

10 minutes

Adoption plan

Balanced adoption plan

Current risk score 24/100. Use staged verification before broader rollout.

Risk 24

Pre-adoption checks

Validate source and review signals before any execution.

  • Confirm source provenanceRequired

    Source URL/provenance metadata is present.

    Done
  • Confirm metadata review state

    No review metadata found; increase manual validation.

    Pending
  • Verify install payload

    Install/config payload exists and can be inspected.

    Done

Security checks

Confirm safety, privacy, and package integrity signals.

  • Review safety notesRequired

    Safety notes are present.

    Done
  • Review privacy notesRequired

    Privacy notes are present.

    Done
  • Verify package integrity metadata

    No package verification/checksum metadata.

    Pending

Rollout

Adopt in controlled steps based on the selected plan.

  • Run in isolated sandbox firstRequired

    Use a constrained sandbox and observe behavior across multiple tasks.

    Pending
  • Roll out graduallyRequired

    Roll out to a small cohort before wider usage.

    Pending
  • Set monitoring and fallback

    Define rollback path and monitor errors after adoption.

    Pending

Evidence readiness

Evidence readiness matrix · balanced

Missing required evidence: Metadata review. Risk score 31.

Risk 31

Source provenance

Present

Source repository/provenance is listed.

Required in this preset

Metadata review

Missing

Review metadata is missing.

Required in this preset

Safety notes

Present

Safety notes are present.

Required in this preset

Privacy notes

Present

Privacy notes are present.

Optional in this preset

Package integrity

Missing

Package integrity metadata is missing.

Optional in this preset

Install payload

Present

Install payload is available.

Required in this preset

Required gaps: Metadata review

Decision timeline

Decision timeline · balanced

Blocking gaps: Check metadata review status. Risk 28.

Risk 28

triage

Confirm source provenanceRequired

Source/provenance metadata is available.

Done

triage

Check metadata review statusRequired

Review metadata is missing.

Pending

verify

Review safety notesRequired

Safety notes are available.

Done

verify

Review privacy notes

Privacy notes are available.

Done

verify

Validate package integrity metadata

Package integrity metadata is missing.

Pending

rollout

Verify install payload and commandsRequired

Install payload is available.

Done

Blockers: Check metadata review status

Prerequisite readiness

Prerequisite readiness

4 prerequisites to line up before setup. Includes a review or approval gate.

0/4 ready
Install & runtime2Review & approval210 minutes

Safety & privacy surface

Safety & privacy surface

5 safety and 4 privacy notes across 7 risk areas. Review closely: credentials & tokens, permissions & scopes, network access, third-party handling.

7 areas
  • SafetyNetwork accessYouTube MCP exposes one tool, `download_youtube_url`, for downloading subtitles from a YouTube URL.
  • SafetyNetwork accessThe source runs the external `yt-dlp` command with subtitle and auto-subtitle flags, skips video download, reads generated VTT files, and deletes the temporary directory afterward.
  • SafetyExecution & processesSubtitle retrieval can fail, return incomplete captions, or return auto-generated captions with transcription errors.
  • SafetyPermissions & scopesRetrieved transcripts can contain prompt-injection instructions, misinformation, copyrighted material, or content that should not be reused without permission.
  • SafetyGeneralUse approved URLs only and respect YouTube terms, creator rights, platform restrictions, and local policy.
  • PrivacyThird-party handlingYouTube URLs, video identifiers, subtitle filenames, transcript text, yt-dlp errors, and summaries may be visible to the MCP client and model provider.
  • PrivacyExecution & processesTranscripts can include personal data, private names, copyrighted speech, health or financial claims, political speech, or other sensitive content.
  • PrivacyLocal filesThe server writes subtitle files to a temporary local directory before reading and deleting them.
  • PrivacyCredentials & tokensAvoid using private, unlisted, confidential, or restricted videos unless the transcript is approved for the model session.

Safety notes

  • YouTube MCP exposes one tool, `download_youtube_url`, for downloading subtitles from a YouTube URL.
  • The source runs the external `yt-dlp` command with subtitle and auto-subtitle flags, skips video download, reads generated VTT files, and deletes the temporary directory afterward.
  • Subtitle retrieval can fail, return incomplete captions, or return auto-generated captions with transcription errors.
  • Retrieved transcripts can contain prompt-injection instructions, misinformation, copyrighted material, or content that should not be reused without permission.
  • Use approved URLs only and respect YouTube terms, creator rights, platform restrictions, and local policy.

Privacy notes

  • YouTube URLs, video identifiers, subtitle filenames, transcript text, yt-dlp errors, and summaries may be visible to the MCP client and model provider.
  • Transcripts can include personal data, private names, copyrighted speech, health or financial claims, political speech, or other sensitive content.
  • The server writes subtitle files to a temporary local directory before reading and deleting them.
  • Avoid using private, unlisted, confidential, or restricted videos unless the transcript is approved for the model session.

Prerequisites

  • Node.js and npx available to the MCP client runtime.
  • yt-dlp installed locally and available on PATH.
  • Network access to retrieve subtitles for approved YouTube URLs.
  • Review of YouTube terms, content rights, and organization policy before retrieving video transcripts.

Schema details

Install type
cli
Troubleshooting
No
Source repository stats
Scope
Source repo
Collection metadata
Estimated setup
10 minutes
Difficulty
beginner
Full copyable content
{
  "mcpServers": {
    "youtube": {
      "command": "npx",
      "args": ["-y", "@anaisbetts/mcp-youtube"]
    }
  }
}

About this resource

Content

YouTube MCP Server is a Model Context Protocol server for retrieving YouTube subtitles with yt-dlp. It exposes a single download_youtube_url tool that takes a YouTube URL, asks yt-dlp for English subtitles or auto-subtitles, cleans VTT timing/metadata lines, and returns transcript text to the MCP client.

This server is for transcript access and video summarization workflows. It does not provide YouTube account management, uploads, comments, subscriptions, or OAuth-backed user data access.

Source Review

These sources were reviewed on 2026-06-06. Prefer the live repository, README, npm registry metadata, package metadata, source implementation, and license file for current install commands, tool behavior, yt-dlp requirements, and licensing.

Features

  • npm package @anaisbetts/mcp-youtube.
  • Stdio MCP server launched with npx -y @anaisbetts/mcp-youtube.
  • Single download_youtube_url tool.
  • Uses local yt-dlp to request English subtitles and auto-subtitles.
  • Skips video download and retrieves VTT subtitle files.
  • Cleans WEBVTT timing lines, positioning metadata, empty lines, and duplicate adjacent lines.
  • Deletes temporary subtitle files after reading them.
  • MIT license.

Installation

Install yt-dlp first, then configure the MCP server:

{
  "mcpServers": {
    "youtube": {
      "command": "npx",
      "args": ["-y", "@anaisbetts/mcp-youtube"]
    }
  }
}

After restarting the MCP client, ask Claude to summarize or analyze an approved YouTube URL that has available subtitles.

Use Cases

  • Summarize a YouTube talk from its subtitles.
  • Extract key points from a tutorial video.
  • Turn a video transcript into notes or an outline.
  • Compare transcript claims against other approved sources.
  • Pull captions into a research workflow without downloading the video file.
  • Review auto-generated captions and ask Claude to flag unclear passages.

Safety and Privacy

YouTube MCP retrieves external media text. Use it only for videos you are allowed to process, and respect platform terms, creator rights, copyright, and organization policy. Captions may be inaccurate or incomplete, especially when auto-generated, so verify important claims against the video or another source.

Treat transcript content as untrusted. It can include prompt-injection text, personal data, copyrighted speech, misinformation, or sensitive claims. Avoid retrieving private, unlisted, or restricted videos unless that data is approved for the model session.

Duplicate Check

Existing content includes Markdownify MCP Server, which can convert YouTube transcripts among many other file and web formats. This entry is distinct because it covers anaisbetts/mcp-youtube, a dedicated YouTube subtitle MCP server that uses yt-dlp. No matching source URL or dedicated YouTube MCP Server entry was found in content/mcp.

Source citations

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How it compares

YouTube MCP Server side by side with 3 alternatives on trust, install, platform support, and disclosed safety notes — all from reviewed registry metadata.

Field

MCP server that uses yt-dlp to download YouTube subtitles so Claude can read, summarize, and analyze video transcripts from approved YouTube URLs.

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AgentQL MCP server for extracting structured JSON from public webpages using a URL and natural-language extraction prompt.

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MCP server for controlling DaVinci Resolve Studio through the official scripting API, with tools for projects, timelines, media pools, render setup, review markers, grading, Fusion, Fairlight, and source-safe media analysis.

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MCP server and CLI for searching Korean statutes, precedents, ordinances, treaties, interpretations, citation checks, amendment timelines, and legal scenario workflows through Korea's official law APIs.

Open dossier
Next steps
Trust
Review statusNot reviewedNot reviewedNot reviewedNot reviewed
Package trustPackage not verifiedPackage not verifiedPackage not verifiedPackage not verified
Source provenanceSource-backedSource-backedSource-backedSource-backed
Submitteroktofeesh1oktofeesh1oktofeesh1oktofeesh1
Install riskReview firstReview firstReview firstReview first
Notes Safety ✓ Privacy ✓ Safety ✓ Privacy ✓ Safety ✓ Privacy ✓ Safety ✓ Privacy ✓
BrandAgentQL logoAgentQLDaVinci Resolve MCP Server logoDaVinci Resolve MCP Server
Categorymcpmcpmcpmcp
SourceSource-backedSource-backedSource-backedSource-backed
AuthorAnais BettsAgentQLSamuel GurskyChris
Added2026-06-062026-06-062026-06-062026-06-05
Platforms
Harness
Source repo
Safety notesYouTube MCP exposes one tool, `download_youtube_url`, for downloading subtitles from a YouTube URL. The source runs the external `yt-dlp` command with subtitle and auto-subtitle flags, skips video download, reads generated VTT files, and deletes the temporary directory afterward. Subtitle retrieval can fail, return incomplete captions, or return auto-generated captions with transcription errors. Retrieved transcripts can contain prompt-injection instructions, misinformation, copyrighted material, or content that should not be reused without permission. Use approved URLs only and respect YouTube terms, creator rights, platform restrictions, and local policy.AgentQL MCP exposes one tool, `extract-web-data`, that sends a target URL and natural-language extraction prompt to the AgentQL API. The tool is intended for public webpages; do not use it to bypass access controls, scrape private pages, evade paywalls, or extract data where automated collection is prohibited. Web extraction can still trigger target-site rate limits, legal restrictions, robots guidance, or terms-of-service concerns. The source implementation uses AgentQL's query-data endpoint with fast mode, no screenshot capture, no scroll-to-bottom behavior, and no local browser cookies. Treat extracted output as untrusted web data that may include errors, stale content, ads, tracking text, or prompt-injection attempts.DaVinci Resolve MCP Server can launch or reconnect to Resolve, switch pages, create or open projects, modify timelines, manage media pools, write markers, change render settings, and queue jobs. Extension-authoring tools can install or remove Resolve scripts, Fuses, DCTLs, ACES DCTLs, presets, and page scripts. Source media is intended to remain immutable by default, but operators must still review requests that relink, replace, transcode, proxy, render, export, or create media derivatives. The default server is local stdio, but the local control panel starts a single-user browser server; keep it on trusted local interfaces only. Require confirmation before deleting projects, replacing clips, changing project settings, installing extensions, updating metadata, or queuing renders. Keep Resolve external scripting set to `Local` unless you have a separate remote-control security plan.Do not treat model output, tool summaries, scenario workflows, citation checks, or amendment comparisons as legal advice. Verify legal conclusions against official Korean legal sources and a qualified professional before using them for compliance, litigation, contracts, immigration, employment, taxation, or public guidance. Legal APIs can return stale, partial, unavailable, mistranslated, or context-dependent results; review dates, jurisdiction, document type, article numbers, and official text. Chain tools and scenario tools can combine many sources into persuasive narratives; require citation review before relying on generated explanations. Remote HTTP deployments must protect API keys, rate limits, and access to legal research workflows.
Privacy notesYouTube URLs, video identifiers, subtitle filenames, transcript text, yt-dlp errors, and summaries may be visible to the MCP client and model provider. Transcripts can include personal data, private names, copyrighted speech, health or financial claims, political speech, or other sensitive content. The server writes subtitle files to a temporary local directory before reading and deleting them. Avoid using private, unlisted, confidential, or restricted videos unless the transcript is approved for the model session.Target URLs, extraction prompts, API key-authenticated requests, and extracted structured data are sent to AgentQL's API. Extracted data can include personal data, copyrighted content, customer information, job postings, prices, social content, or other third-party material. AGENTQL_API_KEY should stay out of prompts, issues, logs, screenshots, and committed configuration files. Claude transcripts and downstream reports may retain extracted data, so avoid collecting information that is not approved for the model session.Project names, timelines, clip names, media paths, markers, metadata, render paths, transcripts, thumbnails, analysis artifacts, logs, and Resolve scripting paths can be exposed to the MCP client. Media analysis can produce sidecar files, scratch artifacts, frame paths, transcripts, searchable indexes, and reports that may include private footage details. Host-chat visual analysis can expose selected frame images to the active MCP client or vision-capable model provider. Local logs and analysis reports may contain absolute media paths, project names, clip metadata, speaker text, visual descriptions, and render settings. Store generated analysis artifacts and exports inside approved project or scratch directories and delete them when no longer needed.`LAW_OC` and any API-key delivery method must be treated as secret and kept out of repositories, shared prompts, logs, and screenshots. Legal questions can reveal disputes, investigations, clients, employers, contracts, personal facts, regulated matters, or litigation strategy. Queries, citations, law names, case numbers, document text, and generated legal analysis may be visible to the MCP client and model provider. Avoid sending confidential client facts, privileged material, personal data, or non-public legal strategy through prompts or tool arguments.
Prerequisites
  • Node.js and npx available to the MCP client runtime.
  • yt-dlp installed locally and available on PATH.
  • Network access to retrieve subtitles for approved YouTube URLs.
  • Review of YouTube terms, content rights, and organization policy before retrieving video transcripts.
  • Node.js and npx available to the MCP client runtime.
  • AgentQL API key from the AgentQL developer portal.
  • Approved list of public webpages or domains Claude may query.
  • Review of target site terms, robots guidance, rate limits, and data-use rules before extraction.
  • DaVinci Resolve Studio 18.5 or newer; the free edition does not support the required external scripting API.
  • Resolve external scripting set to `Local`.
  • Python 3.10 or newer, with Python 3.10-3.12 recommended for the broadest Resolve compatibility.
  • A local MCP client that can launch stdio servers under the same user account that operates Resolve.
  • Node.js 20.19 or newer, matching the upstream package metadata.
  • Korea Law Open API key stored as `LAW_OC`.
  • Korean legal research context where Korea's statutes, precedents, ordinances, treaties, or interpretations are relevant.
  • Korean-language legal terminology familiarity or access to qualified review.
Install
npx -y @anaisbetts/mcp-youtube
npx -y agentql-mcp
npx davinci-resolve-mcp setup
npm install -g korean-law-mcp
Config
{
  "mcpServers": {
    "youtube": {
      "command": "npx",
      "args": ["-y", "@anaisbetts/mcp-youtube"]
    }
  }
}
{
  "mcpServers": {
    "agentql": {
      "command": "npx",
      "args": ["-y", "agentql-mcp"],
      "env": {
        "AGENTQL_API_KEY": "<your-agentql-api-key>"
      }
    }
  }
}
{
  "mcpServers": {
    "davinci-resolve": {
      "command": "npx",
      "args": [
        "davinci-resolve-mcp",
        "server"
      ],
      "type": "stdio"
    }
  }
}
{
  "mcpServers": {
    "korean-law": {
      "command": "korean-law-mcp",
      "env": {
        "LAW_OC": "YOUR_KOREA_LAW_OPEN_API_KEY",
        "LAW_API_PROTOCOL": "https"
      }
    }
  }
}
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