YouTube MCP. Analyze video trends and channel performance.
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…and any MCP-compatible client
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YouTube MCP connects your AI agent directly to YouTube's full data API, letting you search for videos and retrieve deep analytics instantly.
Find specific video metadata, pull channel performance stats, or analyze user comments from any content—all through natural conversation.
What your AI agents can do
Get channel
Retrieves full statistics and brand details for an entire YouTube channel.
Get video
Gets the complete metadata, description, and performance metrics for one specific video.
List comments
Fetches the most relevant comments from a given YouTube video ID to gauge audience feedback.
Find video listings based on keywords or exact phrases.
Retrieve complete statistics, including subscriber counts and total content volume, for any YouTube account.
Get detailed technical data like view counts, likes, and descriptions for a single video ID.
Fetch the most relevant comments from a video to analyze user sentiment or common topics.
Examine titles, descriptions, and statistics across multiple videos to spot trends.
Ask AI about this MCP
Supported MCP Clients
OAuth 2.0 Compatible Gemini Waiting for input…
YouTube: 4 Tools for Video Analytics
These tools let your AI agent perform specific tasks: searching videos by keyword, pulling full channel statistics, retrieving single video metadata, and fetching relevant comment threads.
Make your AI actually useful.
Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.
Start using YouTube on Vinkius019d7626get channel
Retrieves full statistics and brand details for an entire YouTube channel.
019d7626get video
Gets the complete metadata, description, and performance metrics for one specific video.
019d7626list comments
Fetches the most relevant comments from a given YouTube video ID to gauge audience feedback.
019d7626search videos
Returns a list of videos found by keyword or precise phrase, including titles and descriptions.
Choose How to Get Started
Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.
Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
- Create Agent Skills with progressive disclosure
- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on every call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Make Your AI Do More
Start with YouTube, then connect any of our 4,800+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 4,800+ others, all in one place
- Add new capabilities to your AI anytime you want
- Every connection is secured and compliant automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog every week
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by YouTube. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This server provides 4 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Manually collecting video metrics is a nightmare of clicks and tabs.
Right now, if you want to compare the engagement on three different videos, you have to open three browser tabs. You copy the IDs, navigate to each one, manually check the view count, then go back to the comments section—and repeat that process for every single piece of content. It's a massive time sink.
With this MCP, your agent handles the entire sequence in chat. Tell it what you need, and it pulls the stats from three videos into one response. You get clean data structures instantly, without ever touching an API key or leaving your conversation window.
Using `get_channel` gives you instant visibility into brand health.
Instead of logging into the YouTube Studio dashboard just to check if a channel is growing, you don't have to do it. You simply ask your agent to run `get_channel`, and it delivers the latest subscriber count and total video volume immediately.
Now you know exactly where that data stands without navigating through any backend portals. It’s direct. It’s fast.
What you can do with this MCP connector
Need to know what’s working on YouTube without manually clicking every dashboard? This connector gives your AI agent the ability to function as a dedicated video analyst. You can search for videos by keyword and get lists of metadata, then deep-dive into specific pieces of content to pull view counts, like totals, and upload dates.
Want to see how popular a channel is? Get full branding stats, including subscriber volume and total video count. The tool also pulls the most relevant comments from any video, letting you analyze user sentiment quickly. If your workflow requires combining this video intelligence with other platforms—say, running YouTube analytics alongside data stored in a CRM—you can build those automations across multiple services using Vinkius.
This means you connect your AI client once and manage complex workflows spanning different applications, all while Vinkius handles the security and stability.
019d7626-8c18-735f-b4b8-7e13f0a45816 
How YouTube MCP Works
- 1 Subscribe to the MCP and input your YouTube Data API Key.
- 2 Connect this MCP within your preferred AI client (Claude, Cursor, etc.).
- 3 Prompt your agent with a natural language request—like 'Search for tutorials on generative AI'—and it performs the data retrieval.
The bottom line is: you talk to your agent like talking to a human analyst; it handles all the API calls and spits out structured data.
Who Is YouTube MCP For?
Anyone whose job depends on understanding public media performance, especially marketing or content strategy roles. If you spend time gathering metrics from multiple dashboards, this is for you.
Runs competitor audits by searching videos and comparing channel stats to find gaps in their own content strategy.
Collects large sets of video metadata and statistics, then processes them for trend analysis without writing custom scrapers.
Monitors brand performance by checking channel branding metrics and analyzing the sentiment from user comments after a campaign launch.
What Changes When You Connect
- Stop guessing about content success. You can use
get_videoto pull exact view counts, like totals, and upload timestamps for any piece of media. - Gauge public opinion immediately. Use
list_commentsto surface the top comments from a video, letting you analyze sentiment without reading hundreds of replies. - Quickly audit brand reach. The
get_channeltool gives total subscriber counts and overall channel volume in one request. - Spot market gaps fast. By using
search_videos, your agent returns metadata for multiple videos, helping you identify popular topics or trending formats. - Avoid building custom scrapers. Instead of writing brittle code to pull this data, the MCP handles all the API calls and structure cleanup.
Real-World Use Cases
Competitor Deep Dive
A marketer needs to know how often their top three competitors publish content and what kind of engagement they get. They ask the agent to get_channel for all three, then use search_videos to list recent titles, giving them a quick performance snapshot.
Campaign Feedback Loop
A content creator releases a video and needs to know if people are reacting negatively to a specific topic. They ask the agent to run get_video for stats, followed by list_comments to see immediate user sentiment.
Topic Trend Spotting
A research team wants to know what kind of videos are getting traction in a niche area. They use the agent to run search_videos for 'sustainable farming' and analyze the resulting titles and descriptions.
Quarterly Performance Review
A data scientist needs comprehensive stats on their own channel's growth. They ask the agent to get_channel to get subscriber counts, then follow up with get_video for a specific milestone video.
The Tradeoffs
Treating it like simple search
Just running 'What's on YouTube?' and getting a massive, unformatted list of links. This doesn't help you measure anything.
→
Don't just browse. You need to define scope first: Use search_videos for titles, then immediately follow up with the specific video IDs found using get_video or list_comments.
Missing Context
Asking 'What's wrong with this channel?' without providing any ID. The agent can’t find anything because it needs a target.
→
Always start by establishing the target: Use get_channel first to validate the channel ID, then use that context for all subsequent actions.
Over-relying on single data points
Only checking view counts and assuming success. You miss out on community reaction.
→
Combine metrics: Get the performance stats via get_video, then immediately run list_comments to add the necessary human context.
When It Fits, When It Doesn't
Use this MCP if your workflow requires measuring public video engagement, monitoring channel growth, or analyzing comment sentiment. You need quantitative metrics and qualitative feedback tied directly to a piece of content. Don't use it if you just want general browsing—that’s the YouTube website for. If you only need simple text indexing without any statistical component, a basic keyword search tool will suffice. But since you are dealing with performance data (views, subs), this is your dedicated source.
Common Questions About YouTube MCP
How do I check channel statistics using the `get_channel` tool? +
You just ask your agent to run get_channel and provide the channel ID. The response will give you the current subscriber count, total video volume, and branding info.
Can I find videos by keyword using `search_videos`? +
Yes. Give your agent a phrase like 'best practices for cloud computing' and it returns a list of metadata, including titles and descriptions for top results.
Does the `list_comments` tool only show recent comments? +
No. The tool fetches the most relevant comment threads, giving you a high-signal summary of community feedback that helps analyze overall sentiment.
What if I need stats for multiple videos? Should I run `get_video` repeatedly? +
You can pass a list of video IDs to the agent and ask it to aggregate the results using get_video. It manages the calls, giving you a consolidated report.
When I use the `get_video` tool, how is my API key handled for security? +
Your keys pass through a zero-trust proxy; they are never stored on disk. Vinkius uses these credentials only when running the call in transit, ensuring your private data stays secure throughout the process.
Are there rate limits if I run many searches using `search_videos`? +
Yes, all API calls are subject to external platform rate limits. We recommend checking the YouTube Data API documentation for specific quotas and planning your workflow accordingly to avoid hitting those caps.
Does the `get_video` tool provide every single piece of metadata available on a video? +
It provides all core technical metrics, including full descriptions, view counts, like totals, and upload timestamps. We structure the data to give you robust insights without needing to build custom scrapers.
Can I combine `get_channel` results with videos found via `search_videos` in one automation? +
Absolutely. The power is combining tools. You can chain the output from your search query directly into a channel audit, letting your agent analyze both simultaneously.
Can I see how many likes and views a video has through the agent? +
Yes. The get_video_details tool allows your AI agent to retrieve full real-time statistics for any YouTube video ID, including view counts, like counts, and the total number of comments.
How do I find out the subscriber count for a specific channel? +
You can use the get_channel_details tool. Provide the unique channel ID, and your agent will return the channel's performance statistics, including subscriber counts, total views, and video counts.
Is it possible to read the comments on a video via chat? +
Absolutely. Use the list_video_comments tool to retrieve the top most relevant or recent comment threads from any video ID, helping you perform rapid sentiment analysis through conversation.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.