YouTube MCP(Model Context Protcol) Server

This MCP server provides a tool to fetch and extract transcripts from YouTube videos. It enables AI language models (LLMs) to:

• Access complete text transcripts from YouTube video URLs
• Process and analyze video content through transcripts
• Reference and discuss video information in conversations

The server acts as a bridge between AI models and YouTube content by automatically extracting and formatting video transcripts.

Instead of saying can't access links

Setup

1. Install uv (Python package manager):

   Mac:

   brew install uv
   

   Linux:

   curl -LsSf https://astral.sh/uv/install.sh | sh
   

   Windows:

   powershell -c "irm https://astral.sh/uv/install.ps1 | iex"
   

2. Clone this repository:

   git clone git@github.com:PrajwalPrashanth/youtube-mcp-server.git
   cd youtube-mcp-server
   

3. Create a virtual environment and install dependencies:

   uv venv
   source .venv/bin/activate  
   # On Windows: .venv\Scripts\activate
   uv pip install -r pyproject.toml
   

Add this MCP server to Claude Desktop (download)

uv run mcp install -e . server.py -n "youtube-mcp"

Once this is done you should see the tool icon in the UI

and you can ask for it to do actions (like summarize) with the transcript by providing a YT video