youtube-mcp-server and Youtube-MCP

These two tools are competitors, both offering AI-powered Model Context Protocol (MCP) servers for interacting with YouTube data, with similar functionalities like video search and transcript retrieval.

youtube-mcp-server
39
Emerging
Youtube-MCP
37
Emerging
Maintenance 2/25
Adoption 5/25
Maturity 15/25
Community 17/25
Maintenance 0/25
Adoption 5/25
Maturity 16/25
Community 16/25
Stars: 10
Forks: 8
Downloads:
Commits (30d): 0
Language: Python
License: MIT
Stars: 11
Forks: 6
Downloads:
Commits (30d): 0
Language: Python
License: MIT
Stale 6m No Package No Dependents
Stale 6m No Package No Dependents

About youtube-mcp-server

dannySubsense/youtube-mcp-server

A comprehensive Model Context Protocol (MCP) server providing real-time YouTube Data API access for AI assistants. Features 14 functions including intelligent content evaluation with technology freshness scoring for knowledge base curation.

This tool helps AI assistants access real-time YouTube data to enhance their knowledge and capabilities. It takes YouTube video, channel, or playlist links, or search queries, and provides detailed information like video transcripts, engagement metrics, or even evaluations of content freshness for a knowledge base. Anyone who uses an AI assistant for research, content curation, or market analysis would find this useful.

AI assistant content research market analysis knowledge management social listening

About Youtube-MCP

IA-Programming/Youtube-MCP

YouTube MCP Server is an AI-powered solution designed to revolutionize your YouTube experience. It empowers users to search for YouTube videos, retrieve detailed transcripts, and perform semantic searches over video content—all without relying on the official API. By integrating with a vector database, this server streamlines content discovery.

This solution helps you find specific information within YouTube videos without manually watching them all. You input a search query or a video link, and it outputs relevant videos, full transcripts, or semantically similar sections within your stored video content. Anyone who needs to research YouTube content efficiently, like content creators, researchers, or marketers, would find this useful.

content-research video-transcription media-analysis knowledge-discovery youtube-seo

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