A favicon of YouTube MCP

YouTube MCP

Extract transcripts, summarize content, and query videos effortlessly. Leverage Gemini AI to enhance your YouTube video analysis capabilities. Gain insights and streamline your video content interactions with powerful tools.

Installation

Installing for Claude Desktop

Option 1: One-Command Installation

npx mcpbar@latest install Prajwal-ak-0/youtube-mcp -c claude

This command will automatically install and configure the YouTube MCP MCP server for your selected client.

Option 2: Manual Configuration

Run the command below to open your configuration file:

npx mcpbar@latest edit -c claude

After opening your configuration file, copy and paste this configuration:

View JSON configuration
{
  "mcpServers": {
    "YouTube MCP": {
      "command": "uvx",
      "args": [
        "youtube-mcp"
      ],
      "env": {
        "GEMINI_API_KEY": "${input:gemini_api_key}",
        "YOUTUBE_API_KEY": "${input:youtube_api_key}"
      }
    }
  }
}

YouTube MCP

smithery badge

A Model Context Protocol (MCP) server for YouTube video analysis, providing tools to get transcripts, summarize content, and query videos using Gemini AI.

Features

  • 📝 Transcript Extraction: Get detailed transcripts from YouTube videos
  • 📊 Video Summarization: Generate concise summaries using Gemini AI
  • Natural Language Queries: Ask questions about video content
  • 🔍 YouTube Search: Find videos matching specific queries
  • 💬 Comment Analysis: Retrieve and analyze video comments

Requirements

  • Python 3.9+
  • Google Gemini API key
  • YouTube Data API key

Running Locally

Installing via Smithery

To install youtube-mcp for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install @Prajwal-ak-0/youtube-mcp --client claude

Option 1: Install directly from smithery

smithery badge

Option 2: Local setup

  1. Clone the repository:

    git clone https://github.com/Prajwal-ak-0/youtube-mcp
    cd youtube-mcp
    
  2. Create a virtual environment and install dependencies:

    python -m venv .venv
    source .venv/bin/activate  # On Windows: .venv\Scripts\activate
    pip install -e .
    
  3. Create a .env file with your API keys:

    GEMINI_API_KEY=your_gemini_api_key
    YOUTUBE_API_KEY=your_youtube_api_key
    
  4. Run MCP Server

    mcp dev main.py
    

    Navigate to Stdio

    OR

  5. Go cursor or windsurf configure with this json content:

    {
      "youtube": {
        "command": "uv",
        "args": [
          "--directory",
          "/absolute/path/to/youtube-mcp",
          "run",
          "main.py",
          "--transport",
          "stdio",
          "--debug"
        ]
      }
    }
    

Available Tools

  • youtube/get-transcript: Get video transcript
  • youtube/summarize: Generate a video summary
  • youtube/query: Answer questions about a video
  • youtube/search: Search for YouTube videos
  • youtube/get-comments: Retrieve video comments
  • youtube/get-likes: Get video like count

Contributing

Contributions welcome! Please feel free to submit a Pull Request.

Share:
Details:
  • Stars


    10
  • Forks


    1
  • Last commit


    4 months ago
  • Repository age


    4 months
View Repository

Auto-fetched from GitHub .

MCP servers similar to YouTube MCP:

 

 
 
  • Stars


  • Forks


  • Last commit


 

 
 
  • Stars


  • Forks


  • Last commit


 

 
 
  • Stars


  • Forks


  • Last commit


YouTube MCP: MCP Server – MCP.Bar