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.
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.
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.
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.
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.
Show that YouTube MCP Server is listed on HeyClaude. Paste this Markdown into your README — it renders the badge and links back to this page.
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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.
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.
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.
✓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.
✓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 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.
✓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.