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MCP Youtube Uploader
M

MCP Youtube Uploader

An MCP server that supports YouTube search, video download and upload to S3, and optionally imports to TwelveLabs
Entertainment and mediaDeveloper tools#YouTube search#Video upload#S3 storage#Video processing Remote.TypeScript
2 points
5.6K
Open Site

Overview

Tools List

Content Details

Alternatives

What is the YouTube MCP Server?

This is a server based on the Model Context Protocol (MCP), specifically designed to handle YouTube video - related content. It can help you search for YouTube videos, download videos and upload them to AWS S3 storage, and optionally import the videos to the TwelveLabs platform for further analysis.

How to use the YouTube MCP Server?

You need to install the necessary dependencies first, configure the environment variables, and then you can start the server and use its functions. The server provides three ways to obtain YouTube video information to ensure the reliability of the service.

Use cases

Suitable for scenarios that require batch processing of YouTube video content, such as content analysis, video archiving, and AI training data preparation. It is especially suitable for applications that need to integrate YouTube videos with other AI services (such as TwelveLabs).

Main features

YouTube search
Search for YouTube videos through the YouTube Data API or other alternative methods
S3 video upload
Download YouTube videos and upload them to the specified AWS S3 bucket
TwelveLabs import (optional)
Import the processed videos to the TwelveLabs platform for AI analysis
Advantages
Triple video acquisition mechanism ensures service reliability
Seamless integration with AWS S3 for convenient video storage management
Supports integration with AI platforms such as TwelveLabs
Based on the MCP protocol, easy to interconnect with other services
Limitations
Requires a YouTube API key with quota limitations
AWS S3 storage incurs additional costs
Requires certain technical knowledge for initial setup

How to use

Install dependencies
Use npm to install all necessary dependency packages
Build the project
Compile TypeScript code to JavaScript
Configure environment variables
Set AWS credentials, S3 bucket information, and YouTube API key
Start the server
Run the server to start providing services

Usage examples

Video content analysis
Search for videos on a specific topic, download them and import them to TwelveLabs for AI analysis
Video archiving
Archive important YouTube videos to your own S3 storage

Frequently Asked Questions

How to get a YouTube API key?
Why do I need to set up an AWS S3 bucket?
What is the MCP protocol?
What if the video acquisition fails?

Related resources

MCP protocol official website
Learn detailed information about the Model Context Protocol
TwelveLabs official website
Learn about the video AI analysis platform TwelveLabs
YouTube Data API documentation
Official YouTube API documentation
AWS S3 documentation
Documentation for the AWS S3 storage service

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

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