Youtube Video Mcp
What is Youtube Video Mcp
youtube_video_mcp is a minimal Model Control Protocol (MCP) server designed to fetch transcripts from YouTube videos and stream them directly to your LLM client, facilitating seamless integration and prompt engineering workflows.
Use cases
Use cases for youtube_video_mcp include generating summaries of video content, creating searchable databases of video transcripts, enhancing accessibility for hearing-impaired users, and supporting research that involves video analysis.
How to use
To use youtube_video_mcp, install the required dependencies using pip, run the server with ‘python main.py’, and call the ‘get_transcript’ tool with a valid YouTube URL to retrieve the video ID and transcript.
Key features
Key features include the ability to extract video IDs from valid YouTube URLs, return plain-text transcripts without timestamps, and utilize the ‘youtube-transcript-api’ library for fetching transcripts.
Where to use
youtube_video_mcp can be used in various fields such as natural language processing, content creation, educational tools, and any application that requires video transcript retrieval for analysis or integration.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Youtube Video Mcp
youtube_video_mcp is a minimal Model Control Protocol (MCP) server designed to fetch transcripts from YouTube videos and stream them directly to your LLM client, facilitating seamless integration and prompt engineering workflows.
Use cases
Use cases for youtube_video_mcp include generating summaries of video content, creating searchable databases of video transcripts, enhancing accessibility for hearing-impaired users, and supporting research that involves video analysis.
How to use
To use youtube_video_mcp, install the required dependencies using pip, run the server with ‘python main.py’, and call the ‘get_transcript’ tool with a valid YouTube URL to retrieve the video ID and transcript.
Key features
Key features include the ability to extract video IDs from valid YouTube URLs, return plain-text transcripts without timestamps, and utilize the ‘youtube-transcript-api’ library for fetching transcripts.
Where to use
youtube_video_mcp can be used in various fields such as natural language processing, content creation, educational tools, and any application that requires video transcript retrieval for analysis or integration.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
YouTube Transcript MCP Server
This is a Model Control Protocol (MCP) server that provides a tool to fetch transcripts from YouTube videos.
Features
- Extracts video ID from any valid YouTube URL
- Returns plain-text transcripts (without timestamps)
- Uses the
youtube-transcript-apilibrary
Installation
# Install dependencies
pip install youtube-transcript-api "mcp[fastmcp]"
Usage
Run the server:
python main.py
The server exposes a single tool:
get_transcript: Takes a YouTube URL and returns the video ID and transcript
Example
Using the MCP client:
from mcp.client import Client
client = Client(transport="stdio")
response = client.call("get_transcript", {"url": "https://www.youtube.com/watch?v=dQw4w9WgXcQ"})
print(f"Video ID: {response['video_id']}")
print(f"Transcript: {response['transcript'][:100]}...") # First 100 chars
Error Handling
The server handles these error cases:
- Invalid YouTube URLs
- Videos without available transcripts
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.
