YouTube Research

Sourcing useful information from public YouTube videos often results in surface-level summaries or missed context. YouTube Research uses youtube-mcp to perform structured, evidence-backed research from search results, public metadata, transcripts, and comments.

It goes beyond basic video descriptions to find specific timestamps, compare multiple videos using consistent criteria, analyze long transcripts, and identify recurring themes in retrieved public comments. Material conclusions are tied to retrieved evidence or clearly labeled as interpretation.

What it does

• Video research & verification retrieves public metadata such as views, publication date, duration, tags, channel information, and description to provide context for evaluation.
• Transcript analysis examines video content for claims, key ideas, quotations, and timestamped sections.
• Public-comment analysis identifies recurring discussion themes, questions, and reactions while treating retrieved comments as a sample rather than the entire audience.
• Comparative research evaluates multiple videos against the same criteria so recommendations are consistent and transparent.
• Targeted discovery searches YouTube and shortlists candidates based on the user’s requirements.
• Language-aware research checks available caption languages when a requested transcript track is unavailable or uncertain.

How it works

1. Identify the evidence needed — metadata, transcript, comments, search results, or a combination.
2. Collect the minimum sufficient evidence using targeted youtube-mcp tools and transcript/comment pagination when necessary.
3. Analyze consistently by separating what the video says, what public commenters say, and what the agent concludes.
4. Generate a useful research artifact with video links, comparison criteria, timestamps where relevant, and clearly stated evidence limitations.

Frameworks & tools

This skill uses the open-source @granitebps/youtube-mcp server and can work with:

• search_youtube
• get_video_info
• get_video_transcript
• get_transcript_languages
• get_video_comments
• get_server_info

No YouTube API key is required with the default provider. Users may optionally configure their own YouTube Data API key for metadata, comments, and search.

Why this beats prompting it yourself

A generic prompt can ask an agent to research YouTube, but it does not define which evidence to collect, when enough evidence has been gathered, how to compare videos consistently, how to paginate long transcripts, or how to avoid overgeneralizing from a small comment sample.

This skill provides that repeatable workflow and uses retrieved YouTube MCP data as the evidence source.

Use cases

• Compare several product reviews or tutorials and recommend the best one for a specific goal.
• Locate the exact timestamp where a speaker discusses a particular topic.
• Summarize a long technical keynote, interview, podcast, or tutorial with key takeaways and timestamps.
• Research the strongest videos on a topic and produce a concise research brief.
• Analyze retrieved public comments to surface recurring questions, pain points, and discussion themes.

Known limitations

• Cannot access private YouTube Analytics such as revenue, retention, CTR, traffic sources, or audience demographics.
• Search results represent the returned result set and are not an exhaustive ranking of all YouTube.
• Public comments are a retrieved sample and should not be treated as representative of the entire audience.
• Transcript analysis depends on available captions; auto-generated captions may contain recognition errors.
• Transcript retrieval uses the MCP’s transcript backend even when the optional official YouTube Data API provider is selected.