Which integrations are available for this server?

Fetches transcripts from YouTube videos by video ID with support for multiple languages and configurable language preferences.

How do I use YouTube Transcript MCP Server?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@YouTube Transcript MCP Server summarize the video dQw4w9WgXcQ" That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

YouTube Transcript MCP Server

A Model Context Protocol (MCP) server that provides YouTube transcript fetching functionality. This server allows AI assistants to retrieve transcripts from YouTube videos.

Features

Fetch transcripts from YouTube videos using video ID
Support for multiple languages with configurable preferences
Simple MCP tool interface for easy integration

Installation

Prerequisites

Python 3.8 or higher
uv package manager (recommended) or pip

Install with uv (recommended)

# Clone the repository git clone https://github.com/arrrggghhh/youtube-transcript-mcp.git cd youtube-transcript-mcp # Install dependencies uv sync

Configuration

Environment Variables

YOUTUBE_TRANSCRIPT_FETCHER_LANGS: Comma-separated list of language codes for transcript preferences (default: "ko,en")
- Example: YOUTUBE_TRANSCRIPT_FETCHER_LANGS=en,es,fr,de
- The server will attempt to fetch transcripts in the order specified

Adding to Claude Desktop

To use this MCP server with Claude Desktop, you need to add it to your configuration:

1. Locate your Claude Desktop configuration file

macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Windows: %APPDATA%\Claude\claude_desktop_config.json
Linux: ~/.config/Claude/claude_desktop_config.json

2. Edit the configuration file

Add the YouTube Transcript MCP server to the mcpServers section:

{ "mcpServers": { "youtube-transcript-mcp": { "command": "/path/to/uv", "args": [ "run", "--directory", "/path/to/cloned/directory", "--with", "mcp[cli]", "--with", "youtube_transcript_api", "mcp", "run", "/path/to/youtube-transcript-mcp.py" ] } } }

Important: Replace /path/to/uv with the actual path to your uv executable, and /path/to/youtube-transcript-mcp.py with the actual path to the youtube-transcript-mcp.py file in your cloned repository.

3. Restart Claude Desktop

After saving the configuration file, restart Claude Desktop for the changes to take effect.

Usage

Once the MCP server is added, you can use it in Claude Desktop by asking Claude to analyze YouTube videos:

"Summarize the YouTube video dQw4w9WgXcQ" "What are the key points from https://www.youtube.com/watch?v=dQw4w9WgXcQ" "Give me a brief overview of the content in video ID dQw4w9WgXcQ"

The server will automatically extract the video ID, fetch the transcript in the configured languages, and Claude will analyze and summarize the content.

Development

Project Structure

youtube-transcript-mcp/ ├── youtube-transcript-mcp.py # Main MCP server ├── transcript_fetcher.py # Core transcript fetching logic ├── pyproject.toml # Project configuration ├── uv.lock # Dependency lock file └── README.md # This file