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.

YouTube MCP Server for Cursor 4 tools — connect in under 2 minutes

Name: YouTube
Availability: InStock
Author: Vinkius

docs.cursor.com/context/model-context-protocol

Built by Vinkius GDPR 4 Tools IDE

Cursor is an AI-first code editor built on VS Code that integrates LLM-powered coding assistance directly into the development workflow. Its Agent mode enables autonomous multi-step coding tasks, and MCP support lets agents access external data sources and APIs during code generation.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

RecommendedModern Approach — Zero Configuration

Vinkius Desktop App

The modern way to manage MCP Servers — no config files, no terminal commands. Install YouTube and 2,500+ MCP Servers from a single visual interface.

Download Free Open SourceNo signup required

Classic Setup·json

{
  "mcpServers": {
    "youtube": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Fully ManagedVinkius Servers

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High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

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Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About YouTube MCP Server

Connect your YouTube Data API account to any AI agent and harness the power of global video intelligence through natural conversation.

Cursor's Agent mode turns YouTube into an in-editor superpower. Ask Cursor to generate code using live data from YouTube and it fetches, processes, and writes — all in a single agentic loop. 4 tools appear alongside file editing and terminal access, creating a unified development environment grounded in real-time information.

What you can do

Universal Search — Find relevant video content by keyword or exact phrase, retrieving a list of metadata including titles and descriptions
Deep Video Insights — Retrieve full technical metadata for specific videos, including view counts, like counts, and engagement statistics
Channel Performance — Monitor any YouTube channel's branding and statistics, including total subscriber counts and video volume
Sentiment Analysis — Fetch the most relevant comments from any video to analyze user feedback and community engagement
Content Discovery — Quickly find unique video and channel IDs required for automated media monitoring workflows
Trend Auditing — Browse and analyze video descriptions and statistics to identify content patterns and audience interests
Metadata Retrieval — Get high-resolution thumbnails and precise upload timestamps for any piece of video content

The YouTube MCP Server exposes 4 tools through the Vinkius. Connect it to Cursor in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect YouTube to Cursor via MCP

Follow these steps to integrate the YouTube MCP Server with Cursor.

Open MCP Settings

Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"

Add the server config

Paste the JSON configuration above into the mcp.json file that opens

Save the file

Cursor will automatically detect the new MCP server

Start using YouTube

Open Agent mode in chat and ask: "Using YouTube, help me..." — 4 tools available

Why Use Cursor with the YouTube MCP Server

Cursor AI Code Editor provides unique advantages when paired with YouTube through the Model Context Protocol.

Agent mode turns Cursor into an autonomous coding assistant that can read files, run commands, and call MCP tools without switching context

Cursor's Composer feature can generate entire files using real-time data fetched through MCP — no copy-pasting from external dashboards

MCP tools appear alongside built-in tools like file reading and terminal access, creating a unified agentic environment

VS Code extension compatibility means your existing workflow, keybindings, and extensions all work alongside MCP tools

YouTube + Cursor Use Cases

Practical scenarios where Cursor combined with the YouTube MCP Server delivers measurable value.

Code generation with live data: ask Cursor to generate a security report module using live DNS and subdomain data fetched through MCP

Automated documentation: have Cursor query your API's tool schemas and generate TypeScript interfaces or OpenAPI specs automatically

Infrastructure-as-code: Cursor can fetch domain configurations and generate corresponding Terraform or CloudFormation templates

Test scaffolding: ask Cursor to pull real API responses via MCP and generate unit test fixtures from actual data

YouTube MCP Tools for Cursor (4)

These 4 tools become available when you connect YouTube to Cursor via MCP:

get_channel

Retrieves complete statistics and branding information for a YouTube channel

get_video

Retrieves full metadata, description, and statistics for a specific YouTube video

list_comments

Returns the most recent/relevant comment threads. Fetches the top most relevant comments from a specific YouTube video

search_videos

Returns a list of video metadata including titles and descriptions. Search for YouTube videos by keyword or exact phrase

Example Prompts for YouTube in Cursor

Ready-to-use prompts you can give your Cursor agent to start working with YouTube immediately.

"Search YouTube for 'generative AI tutorials' and show me the top 5 results."

"What are the statistics for video ID 'dQw4w9WgXcQ'?"

"Check the subscriber count for channel ID 'UC_x5XG1OV2P6uYZ5M1D2ogw'."

Troubleshooting YouTube MCP Server with Cursor

Common issues when connecting YouTube to Cursor through the Vinkius, and how to resolve them.

Tools not appearing in Cursor

Ensure you are in Agent mode (not Ask mode). MCP tools only work in Agent mode.

Server shows as disconnected

Check Settings → Features → MCP and verify the server status. Try clicking the refresh button.

YouTube + Cursor FAQ

Common questions about integrating YouTube MCP Server with Cursor.

What is Agent mode and why does it matter for MCP?

Agent mode is Cursor's autonomous execution mode where the AI can perform multi-step tasks: reading files, editing code, running terminal commands, and calling MCP tools. Without Agent mode, Cursor operates in a simpler ask-and-answer mode that doesn't support tool calling. Always ensure you're in Agent mode when working with MCP servers.

Where does Cursor store MCP configuration?

Cursor looks for MCP server configurations in a mcp.json file. You can configure servers at the project level (.cursor/mcp.json in your project root) or globally (~/.cursor/mcp.json). Project-level configs take precedence.

Can Cursor use MCP tools in inline edits?

No. MCP tools are only available in Agent mode through the chat panel. Inline completions and Tab suggestions do not trigger MCP tool calls. This is by design — tool calls require user visibility and approval.

How do I verify MCP tools are loaded?

Open Settings → Features → MCP and look for your server name. A green indicator means the server is connected. You can also check Agent mode's available tools by clicking the tools dropdown in the chat panel.