Advanced YouTube is an MCP server that provides comprehensive access to YouTube data through the YouTube Data API. It enables querying videos, channels, comments, transcripts, and trending content for analysis and content discovery. Key capabilities include: - Search for YouTube videos with advanced filtering options - Retrieve detailed information about specific videos and channels - Compare statistics and performance metrics across multiple videos - Discover trending videos by region and category - Analyze channel performance and audience engagement metrics - Extract video comments and closed captions/transcripts - Generate video analysis and transcript summaries

YouTube MCP Server

[](https://smithery.ai/server/@coyaSONG/youtube-mcp-server)

A Model Context Protocol (MCP) server for interacting with YouTube data. This server provides resources and tools to query YouTube videos, channels, comments, and transcripts through a stdio interface.

Features

Prerequisites

Installation

Installing via Smithery

To install YouTube MCP Server for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install @coyaSONG/youtube-mcp-server --client claude

Installing Manually

   git clone https://github.com/coyaSONG/youtube-mcp-server.git
   cd youtube-mcp-server
   

2. Install dependencies:

   npm install
   

3. Create a .env file in the root directory:

   YOUTUBE_API_KEY=your_youtube_api_key_here
   PORT=3000
   

Usage

Building and Running

1. Build the project:

   npm run build
   

2. Run the server (HTTP transport):

   npm start
   

3. Run in development mode:

   npm run dev
   

4. Clean build artifacts:

   npm run clean
   

HTTP Transport Migration

Migration Status: ✅ Complete - Successfully migrated from STDIO to Streamable HTTP transport

This server has been updated to use the modern Streamable HTTP transport as required by Smithery hosting platform. The migration includes:

Testing the Migration

Local Testing:

# Start the server
npm start
Test with MCP Inspector
npx @modelcontextprotocol/inspector
Connect to: http://localhost:3000/mcp

Smithery Integration:

Docker Deployment

The project includes a Dockerfile for containerized deployment:

# Build the Docker image
docker build -t youtube-mcp-server .
Run the container with HTTP transport
docker run -p 3000:3000 --env-file .env youtube-mcp-server

Important: The container now exposes port 3000 for HTTP-based MCP communication instead of STDIO.

API Reference

Resources

Tools

#### Basic Tools

#### Statistical Tools

#### Discovery Tools

#### Analysis Tools

Prompts