YouTube Transcript Extractor MCP
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Alternatives to YouTube Transcript Extractor MCP
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- AlicenseAqualityAmaintenanceA Model Context Protocol (MCP) server that gives AI assistants the ability to search, analyze, and extract knowledge from YouTube videos.13211 npmMIT
- AlicenseAqualityFmaintenanceA Model Context Protocol server that enables retrieval of transcripts from YouTube videos. This server provides direct access to video captions and subtitles through a simple interface.1666 npm595MIT
- AlicenseAqualityDmaintenanceA Model Context Protocol server that enables access to YouTube video content through transcripts, translations, summaries, and subtitle generation in various languages.55MIT
- AlicenseAqualityDmaintenanceA Model Context Protocol server that enables retrieval of transcripts from YouTube videos. This server provides direct access to video transcripts and subtitles through a simple interface, making it ideal for content analysis and processing.1370 npm37MIT
- AlicenseNot gradedqualityDmaintenanceA Model Context Protocol server that enables retrieval of transcripts, metadata, and subtitles from YouTube videos. It supports multiple languages, automatic paragraph segmentation, and video downloading to facilitate content analysis and processing.12 npmMIT
- AlicenseNot gradedqualityDmaintenanceA Model Context Protocol server that enables AI assistants to access YouTube data in real-time, with capabilities for searching videos, analyzing channels, retrieving video details, and extracting transcripts.13MIT
TDQS
Scored across 1 tool
With only one tool, there is no possibility of ambiguity or overlap between tools. The tool's purpose is singular and clearly defined, so an agent cannot misselect among multiple options.
The single tool name follows a clear verb-noun pattern (youtube-transcript-extractor), and with no other tools to compare, consistency is inherently perfect. There are no deviations or mixed conventions to evaluate.
One tool is too few for a server that appears to handle YouTube transcript extraction, as it lacks complementary operations like listing videos, handling errors, or supporting multiple formats. This minimal scope may limit agent workflows and feels incomplete for the domain.
The server is severely incomplete for YouTube transcript extraction, as it only provides extraction without supporting operations like validation, search, or handling different transcript types. This creates significant gaps that could cause agent failures in real-world scenarios.