Youtube Playlist Transcripts
Y

Youtube Playlist Transcripts

An experimental MCP server that can provide the transcribed text of YouTube playlists as a service
2.5 points
6.0K

What is Playlist-MCP?

Playlist-MCP is an innovative knowledge retrieval tool that can automatically capture the subtitle content of all videos in a YouTube playlist and build a searchable database. Through simple natural language queries, you can quickly find key information in the videos.

How to use Playlist-MCP?

Just provide the YouTube playlist link, and the system will automatically handle all technical details. You can directly query the content through AI assistants such as Claude, just like having a video content expert.

Use cases

It is especially suitable for scenarios that require quick access to information from a large number of videos, such as technical conference content retrieval, educational video knowledge point queries, and product release video information extraction.

Main features

Automatic subtitle processing
Automatically obtain the subtitle content of all videos in the playlist without manual downloading
Intelligent semantic search
Implement semantic search based on a vector database to understand the query intention rather than simple keyword matching
Seamless integration with Claude
Optimally configured for Claude and can directly use video content in conversations
Advantages
Save 90% of the time for video content retrieval
Support natural language queries without memorizing professional terms
One-time configuration, permanently available, and automatically update playlist content
Limitations
Dependent on the quality of video subtitles, unable to process videos without subtitles
The initial loading time depends on the size of the playlist
Currently only supports the YouTube platform

How to use

Installation preparation
Clone the repository and install Python dependencies
Load the playlist
Run the server and specify the YouTube playlist URL
Configure Claude
Modify the Claude configuration file to add MCP server settings

Usage examples

Technical conference content retrieval
Quickly find the discussion content of specific technologies in KubeCon conferences
Learning resource location
Find the explanations of specific knowledge points in educational playlists

Frequently Asked Questions

How long does it take to process a playlist of 100 videos?
Can private playlists be processed?
How to update the content of the loaded playlist?

Related resources

GitHub repository
Project source code and latest updates
MCP protocol documentation
Understand the technical specifications of the Model Context Protocol
Example playlist
Official playlist of KubeCon London 2025

Installation

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

Alternatives

S
Shadcn Ui MCP Server
An MCP server that provides shadcn/ui component integration for AI workflows, supporting React, Svelte, and Vue frameworks. It includes functions for accessing component source code, examples, and metadata.
TypeScript
12.2K
5 points
A
Annas MCP
The MCP server and CLI tool of Anna's Archive are used to search for and download documents on the platform and support access through an API key.
Go
5.7K
4.5 points
V
Video Editing MCP
Video Editor MCP is a video editing server that provides video upload, search, generation, and editing functions, supporting operations through the LLM and Video Jungle platforms.
Python
12.9K
4 points
B
Bilibili MCP Js
Certified
A Bilibili video search server based on the Model Context Protocol (MCP), providing API interfaces to support video content search, paginated queries, and video information return, including LangChain call examples and test scripts.
TypeScript
15.6K
4.2 points
M
MCP Server Weread
The WeRead MCP Server is a lightweight service that bridges WeRead data and AI clients, enabling in - depth interaction between reading notes and AI.
TypeScript
13.2K
4 points
M
MCP Youtube
Download YouTube subtitles via yt - dlp and connect to Claude.ai through the MCP protocol for video content analysis
TypeScript
11.0K
4 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
23.7K
5 points
S
Supermemory
Supermemory is an AI-driven memory engine designed to provide contextual knowledge for LLMs by integrating personal data, enabling intelligent management and retrieval of information.
TypeScript
22.9K
5 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
16.6K
4.3 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
14.8K
4.5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
44.1K
4.3 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
23.7K
5 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
19.2K
5 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
44.6K
4.5 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
15.0K
4.5 points
M
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
29.4K
4.8 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2025AIBase