YouTube MCP Server

Tools 6

• Search Videos

  Search YouTube videos by search terms. Returns video details including titles, views, likes, duration, channel info, and metadata.

  1 per item

• Get Video Details

  Get detailed information about specific YouTube videos by URL or video ID. Returns comprehensive video metadata, statistics, and content details.

  1 per item

• Get Channel Videos

  Get videos from a specific YouTube channel. Returns channel videos with full metadata and statistics. Supports fetching regular videos, Shorts, and Streams separately using max_results, max_shorts, and max_streams. Set max_results=0 to fetch only Shorts/Streams.

  1 per item

• Get Playlist Videos

  Get videos from a YouTube playlist. Returns all videos in the playlist with metadata and statistics.

  1 per item

• Get Channel Details

  Get detailed information about a YouTube channel including subscriber count, total videos, description, and metadata. Note: the response may include an 'error: NO_RESULTS' field which indicates no videos were collected (this is expected — channel metadata is still returned successfully). To collect videos, use get_channel_videos or search_videos instead.

  1 per item

• Get Video Comments

  Get comments from YouTube videos. Returns comment text, author information, vote counts, reply counts, and metadata.

  1 per item

What is YouTube MCP?

What you can do with YouTube MCP on Gumloop

• Search YouTube and discover videos

  Search by keyword and get back matching videos with titles, view and like counts, duration, channel info, and other metadata. An AI agent can find the most relevant or highest-performing videos on any topic in seconds.

• Pull detailed video metadata and statistics

  Get comprehensive details for any video by URL or ID, including statistics and content details. Your AI agent can compare videos, track performance, or build a structured dataset from a list of links.

• Get video subtitles and captions

  Pull a video’s subtitles inline when you fetch search results or video details, for videos that have captions available. An AI agent can read, summarize, translate, or extract key points from a video without anyone watching it end to end.

• Read and analyze comments

  Pull comments from a video, including the comment text, author, vote counts, and reply counts. An agent can gauge sentiment, surface common questions, or roll up audience feedback into a clean summary.

• Explore channels, Shorts, and Streams

  Get channel details like subscriber count, total videos, and description, and pull a channel’s videos with full stats. You can fetch regular videos, Shorts, and Streams separately to analyze each format on its own.

• Pull entire playlists

  Get every video in a playlist with metadata and statistics, so an AI agent can analyze a series, a course, or a curated collection as a single dataset.

How to connect the Gumloop YouTube MCP Server

1. Create a Gumloop account

   Sign up at gumloop.com. Every new account starts with a 14-day free trial.

2. Add the YouTube MCP server

   Copy your MCP server URL from Gumloop and add it to your preferred client (Claude, Cursor, or Gumloop workflows). You'll authorize on first use.

3. Start using YouTube in your AI workflows

   That's it. Your AI agent can now search videos, pull details and subtitles, read comments, and analyze channels and playlists. Use it inside a Gumloop automation, in Claude Desktop, or in Cursor.

YouTube MCP use cases

• Content and competitor research for marketers

  Search a topic, pull the top videos with their view and like counts, and gather channel context, then have an AI agent summarize what formats and angles are performing. Marketing teams see what’s working on YouTube without manually scrubbing search results.

• Audience sentiment analysis for social teams

  Pull comments from your own or a competitor’s videos, run them through an AI model for sentiment and themes, and compile the highlights into a Slack message or a Google Sheet. Social teams catch what audiences love and complain about without reading every comment.

• Video summarization and repurposing for creators

  Fetch a video’s subtitles and details, then have an AI agent turn the transcript into a blog post, a thread, show notes, or a list of clip-worthy moments. Creators can repurpose one video into a week of content.

• Channel monitoring for brand and PR

  On a schedule, pull a channel’s latest videos, Shorts, and Streams with stats, and have an AI agent flag new uploads or spikes in views and post an alert in Slack. Brand teams can stay on top of what creators and competitors are publishing.

• Trend and keyword research for SEO

  Search a set of keywords, compare view counts, likes, and durations across the results, and have an agent write a ranked trend report to Google Sheets. SEO and content teams can ground their strategy in real YouTube demand signals.

Why use Gumloop for YouTube MCP

• No YouTube account or API key to manage

  Most YouTube integrations you’ll find on GitHub make you set up a Google Cloud project, enable the YouTube Data API, manage OAuth or an API key, and handle quotas yourself. With Gumloop the connection is built in, so you don’t provide a YouTube account, a Google login, or any key. Just add the server and start querying.

• Works with multiple MCP clients

  Use the YouTube MCP server endpoint in Claude Desktop, Cursor, or directly inside Gumloop agents. Same server URL, works with any MCP client.

• Chain YouTube with 100+ other integrations

  Combine YouTube with Google Sheets, Slack, Notion, and other MCP tools in a single AI agent. An agent can pull a video’s subtitles, summarize them with an LLM, and write the recap to a doc or post it to a channel.

• Enterprise-grade and scalable

  Built for teams, with role-based permissions and dedicated support for Pro users. For details on Gumloop’s security practices, see trust.gumloop.com.

• Start with a free trial

  You can test the YouTube MCP integration during Gumloop’s 14-day free trial before committing. Paid plans start at $37/month.